tag:blogger.com,1999:blog-30370403360267971852024-03-16T11:51:37.183-07:00New TechnologyTrending Technology Machine Learning, Artificial Intelligent, Block Chain, IoT, DevOps, Data ScienceUnknownnoreply@blogger.comBlogger600125tag:blogger.com,1999:blog-3037040336026797185.post-20281130177101271832024-03-16T01:09:00.000-07:002024-03-16T01:09:54.647-07:00What is the Metaverse?<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/216ao7" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="448" data-original-width="1211" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiR6xSZXZOpFaW-WLaDaujAbLLSu8j8bECv2iPlNZfQXTU9QQV41Na367qm88R0uhU_geNECYj1mHWh6zddejOWaI6XDyX_8StKp-VTzull5ezl74FI2BPqrQXeUaVbFwr1qjDeY0LkZbc0J8myDurqK7YOC4W8eUo6xtjR73ZEhtHIDgWRv8QeIadMehtl/s16000/What%20is%20the%20Metaverse..PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Access and engage with the metaverse and discuss the potential impact of the metaverse </div><div><br /></div><div>Explore the importance of creating a metaverse that is ethical, safe, inclusive, and accessible.</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/216ao7" target="_blank">What is the Metaverse?</a></h2><div><h2 style="text-align: left;">There are 6 modules in this course</h2><div>The metaverse isn’t just for gamers or developers, it will be for everyone. In this free course from the experts at Meta, you’ll learn what the metaverse is, what it means for our world today and into the future, and the opportunities it presents for both professionals and businesses. </div><div><br /></div><div>Understand the metaverse fundamentals</div><div>Experts will guide you through a broad range of topics spanning the metaverse ecosystem, from communication and collaboration to NFTs and cryptocurrency, from avatars and devices to platforms and game engines. You’ll learn about augmented reality (AR), virtual reality (VR), extended reality, NFTs, blockchain, web3, cryptocurrency, and more. </div><div><br /></div><div>Discover new ways to connect, learn, and work </div><div>The metaverse provides new ways to connect people, websites, platforms and realities. You’ll explore how it will enhance online social experiences, the future of work and learning. </div><div><br /></div><div>Opportunities for professionals and businesses</div><div>The metaverse will be built by everyone, with creative and practical applications being developed every day by imaginative people. Learn how the metaverse will be applied in areas like healthcare, education, city planning, art, and more—and how you can start creating these experiences today. You’ll also learn how the metaverse can make the world a more diverse, equitable, and inclusive place.</div><div><br /></div><div>By the end of the course, you’ll be equipped with the fundamental knowledge of the metaverse to determine future areas of interest, learning, or professional growth.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-23279433237775125982024-03-16T01:06:00.000-07:002024-03-16T01:06:11.472-07:00AR (Augmented Reality) & Video Streaming Services Emerging Technologies<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/Jz6K9q" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="863" data-original-width="1381" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiZdmahHdFEUD-bhhVAukSd9xiL0zfNC6pFAph9t7-oP_qtsT38h0J_rHP3XcqTCDk1UWdsX1F1Fl-J3QJdSyKyPs1eMpYErhkpz4Tl8BfLj0TSZtYs-GakKFR_-RCNH4E5D6PpZH_wPeqNaTlVK6YXjgifcuT4G5KulOU-jOth8NdQMXkNk5vJcoVoUKQj/s16000/AR%20(Augmented%20Reality)%20&%20Video%20Streaming%20Services%20Emerging%20Technologies.PNG" /></a></div><br /><div><h2 style="text-align: left;">Build your subject-matter expertise</h2><div>This course is part of the Emerging Technologies: From Smartphones to IoT to Big Data Specialization</div><div>When you enroll in this course, you'll also be enrolled in this Specialization.</div><div>Learn new concepts from industry experts</div><div>Gain a foundational understanding of a subject or tool</div><div>Develop job-relevant skills with hands-on projects</div><div>Earn a shareable career certificate</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/Jz6K9q" target="_blank">AR (Augmented Reality) & Video Streaming Services Emerging Technologies</a></h2><div><h2 style="text-align: left;">There are 7 modules in this course</h2><div>Welcome to the course “Augmented Reality & Video Service Emerging Technologies.” The level of AR (Augmented Reality) and advanced video & multimedia technology included in a product is what determines the level of value and luxury. The objective of this course is to teach all important technologies that are used in state-of-the-art AR, Skype, and YouTube video and multimedia products and services. This includes the advanced video and real-time multimedia delivery mechanisms based on H.264/MPEG-4 AVC, MPEG-DASH, CDN, and mobile CDN. If you have knowledge of these core technologies, you can understand the operations that are used in every advanced video and multimedia system in the World. As the future World of business and products are driven to be more and more video and multimedia oriented, having knowledge of these core technologies will enable you to lead your company to become the true World leader in AR and video multimedia technology products, services, and business. Thus, I cordially welcome you into the beautiful and powerful World of advanced AR and video multimedia!</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-79154800088613862852024-03-16T01:02:00.000-07:002024-03-16T01:02:14.835-07:00Intro to AR/VR/MR/XR: Technologies, Applications & Issues<p> </p><div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/Or5vrK" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="752" data-original-width="1437" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj3b5LjqsIfy71LD_cr9Q83S0hLFBrMxtbPt3HiM1Qvbk6p-pRAvZYDT8gAIAULsQUgHqk_nCoJceZFHI8p891RInYn0BafBIpQGXnzPjRo0eiBrc-hyywIKLkZYIiUAKnBBKYknH4wZFqf0juscGQlhG3uOxE6Zb-T8D2At6FjpaUjQaCPWJ60-7Bkjtli/s16000/Intro%20to%20AR%20VR%20MR%20XR%20Technologies,%20Applications%20&%20Issues.PNG" /></a></div><br /><p></p><h2 style="text-align: left;">What you'll learn</h2><p>Explain the conceptual and technological differences between VR, AR, MR, and XR.</p><p>Understand strengths and weaknesses of VR and AR for new XR applications.</p><p>Summarize the XR technology landscape in terms of platforms, devices, applications, and tools.</p><p>Devise a strategic plan to incorporate XR into new projects and initiatives.</p><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/Or5vrK" target="_blank">Intro to AR/VR/MR/XR: Technologies, Applications & Issues</a></h2><div><h2 style="text-align: left;">There are 4 modules in this course</h2><div>This first course in the XR for Everybody specialization creates a foundational understanding of the differences between AR, VR, MR, and XR. The course provides learners with a broad overview of the rapidly evolving XR space and the tools to characterize future XR developments and assess their potential and limitations. It establishes key concepts and dives into the XR device landscape, helping learners to differentiate current and future platforms and devices as well as critique the use of VR or AR in applications. The course pivots in the second half to look more at how to shape the future of XR, by analyzing trends and raising issues such as COVID-19, social and ethical concerns, accessibility and equity, as well as privacy and security.</div><div><br /></div><div>The course comes with an honors track in which learners will try out and classify existing XR applications, pick technologies when designing solutions for various XR application scenarios, and dive into the issues contributing to the larger discussion around trends and the future of XR.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-86727614538277549372024-03-16T00:43:00.000-07:002024-03-16T00:43:21.476-07:00Extended Reality for Everybody Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/B0AV00" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="694" data-original-width="1259" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiCXE4jacJdmTq5sl6P-PaR7z93XU1nViHxm2mE-BMYBx7yK-ToAABMGepxv67w7akGGTNN9TWpvHNr24w6-nmGtZVHEJM6APvHrIl0zOyP6wQO_aY3ABNZHq40bB4ygw-92IpB5ziT-I9qsVYKQ9h0Z6s11uOl1wRwMMHJecoc2S1_OQ60-oSSV0HUSvol/s16000/Extended%20Reality%20for%20Everybody%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Learn the underlying concepts, enabling technologies, and key applications for all things XR</div><div><br /></div><div>Understand key issues and developments in XR and learn how to address them in design and development of XR applications</div><div><br /></div><div>Design and develop your own XR applications</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/B0AV00" target="_blank">Extended Reality for Everybody Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 3 course series</h2><div>Welcome to XR for Everybody! When we say “for everybody,” we really do mean it. This specialization is designed to be a broad learning experience around all things augmented, virtual, and mixed reality. The 3 courses cover the fundamental concepts of XR, how to design and develop XR applications, how to discuss the emerging key issues in the landscape of XR, and how to bring XR into instructional settings. </div><div><b><br /></b></div><div><b>Applied Learning Project</b></div><div><br /></div><div>Learners will develop a design thinking mindset and a fundamental toolbox for creating XR applications using rapid prototyping.</div><div><br /></div><div>Learners will establish a technical mental model for XR technologies and gain tools to approach XR development with confidence.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-12523838842341519322024-03-16T00:40:00.000-07:002024-03-16T00:40:49.243-07:00Introduction to Augmented Reality and ARCore<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/MmkrVP" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="524" data-original-width="1360" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgYZPu3FlJEojuPXyBM686-Xf_6wXShEeEQdqK33gHrqlqzdK_VM2E3-8wcpBrp5L9Gp4VO8aeDTzuGWVxQnSg-qiyhKKgIIlT6Y3VBlssdUltR_bIUbnzEQrL6yF9HvWXUMdrUchvSFX1OCH1hzWJD879fVH6p8JU0kKaL6uYYi8TbH1jduN0BVOatkjd9/s16000/Introduction%20to%20Augmented%20Reality%20and%20ARCore.PNG" /></a></div><br /><div><h2 style="text-align: left;">There are 4 modules in this course</h2><div>This class will teach you the fundamentals of augmented reality (AR), and how to build an AR experience using ARCore. </div><h3 style="text-align: left;">Through the four week course, you'll learn:</h3><div>- How to identify different types of AR experiences </div><div>- Tools and platforms used in the AR landscape </div><div>- What makes AR feel "real" </div><div>- Popular use cases for AR</div><div>- How to create an AR use flow </div><div>- How AR experiences work</div><div>- Tools like Google Poly and Unity to build AR experiences </div><div>- Next steps to start building an AR experience using ARCore and other tools </div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/MmkrVP" target="_blank">Introduction to Augmented Reality and ARCore</a></h2><div>This course will break down complex AR concepts to make them easy to understand, while also sharing expert tips and knowledge from Daydream's ARCore team. The course is great for beginners who are just getting started with AR or ARCore.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-39363374313581106272024-03-16T00:20:00.000-07:002024-03-16T00:20:59.436-07:00Building Cloud Computing Solutions at Scale Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/6e6yaG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="796" data-original-width="1611" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgzilHpFhQiq7uth_fV7eBReSybQLCbShM0JsIf3oJnyf_wkONcF6q7gC3T3sCeRkmOt2-rBdtx7RoQVEGXY_Dg7Ie2g8Hgy7nsQB7yFQztvo0P2P84_28zGTsEJP9GnLJ6ofmQPuTp4dttu0LavFmFZDbs1y8DL7mO0nRB2odUQgRBD0eWoK8-jKGQf88K/s16000/Building%20Cloud%20Computing%20Solutions%20at%20Scale%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Build websites involving serverless technology and virtual machines, using the best practices of DevOps</div><div><br /></div><div>Create Microservices using technologies like Flask and Kubernetes that are continuously deployed to a Cloud platform: AWS, Azure or GCP</div><div><br /></div><div>Apply Machine Learning Engineering to build a Flask web application that serves out Machine Learning predictions</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/6e6yaG" target="_blank">Building Cloud Computing Solutions at Scale Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 4 course series</h2><div>With more companies leveraging software that runs on the Cloud, there is a growing need to find and hire individuals with the skills needed to build solutions on a variety of Cloud platforms. Employers agree: Cloud talent is hard to find. This Specialization is designed to address the Cloud talent gap by providing training to anyone interested in developing the job-ready, pragmatic skills needed for careers that leverage Cloud-native technologies.</div><div><br /></div><div>In the first course, you will learn how to build foundational Cloud computing infrastructure, including websites involving serverless technology and virtual machines, using the best practices of DevOps. The second course will teach you how to build effective Microservices using technologies like Flask and Kubernetes that are continuously deployed to a Cloud platform: Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP). The third course begins to put together all of the Cloud concepts introduced in the first two courses to tackle more complex data engineering solutions. And finally, in the fourth course you will apply Machine Learning Engineering to build a Flask web application that serves out Machine Learning predictions.</div><div><br /></div><div><b>Applied Learning Project</b></div><div><br /></div><div>Each course concludes with a real-world project where you have an opportunity to build a Cloud-native solution. For each Cloud solution that you develop, you will also create a demo video and GitHub repository of code that can be showcased in your digital portfolio for employers. By the end of this Specialization, you will be well-equipped to begin designing Cloud-native data engineering and machine learning solutions. </div></div><div><br /></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-69048738740586719112024-03-16T00:17:00.000-07:002024-03-16T00:17:39.526-07:00System Issues in Cloud Computing Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/XYamDg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="847" data-original-width="1585" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgnbaCYGXQg_dKnL3dWa2cYJCTHLqWjRegr0FP75CRuTbHXupf9hiCoNgN3ZxEdQaMRodCytzPbwNIZVUPZEGGXzcLDYPZcpnHbHJqBEGP_U9fX65sE7bIqZz9QkKpUHDF9Dwa9VWgUKTDkjnSFbhOCrwMrvCkO1s06aV2KT205e8E7Tlc0q6xFFt-k5_gY/s16000/System%20Issues%20in%20Cloud%20Computing%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">Advance your subject-matter expertise</h2><div>Learn in-demand skills from university and industry experts</div><div>Master a subject or tool with hands-on projects</div><div>Develop a deep understanding of key concepts</div><div>Earn a career certificate from Georgia Institute of Technology</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/XYamDg" target="_blank">System Issues in Cloud Computing Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 4 course series</h2><div>This specialization is a four-course sequence of hands on project-intensive immersive courses aimed at computer professionals to give them an in-depth experience in developing different layers of a Cloud computing infrastructure including software defined networks, distributed runtime systems, application development, and network function virtualization. Each course (roughly 4-5 one hour videos) is organized as discussion of the technical details pertaining to that topic (from selected readings from research papers and other online resources). Each one-hour video is followed by a “hands-on workshop” assignment (roughly 2 hours of development work) which involves developing code and experimentation using a cloud platform of the concepts discussed in the one-hour video lecture.</div><div><br /></div><div><b>Applied Learning Project</b></div><div><br /></div><div>Each of the four courses has a capstone project that builds on the hands-on workshops associated with the lectures for that course. For e.g., in the SDN course, the learners are expected to design, implement, and thoroughly test a software defined network (SDN) for a distributed server to cater to a variety of services, from regular HTTP web pages to real-time applications such as sensor streaming and video players.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-68705372239912102802024-03-16T00:13:00.000-07:002024-03-16T00:13:25.038-07:00Developing Applications with Google Cloud Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/eK01Vj" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="743" data-original-width="1596" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhPHjtWh-PfuW58kFRWGg6wHgl4VQzTa-n6Dr3-M9BnpVzydU1OAQHJm4AiDnzs2bLEFQX_jt1O-54red561ZUOvOghlO9kan-6hpC94wGh36EjXH_Im5gtYh7wGOWLPdPjBB4Y_IPXkI-MMvtvtVE8WqB_criBz7tp-wwDItlHkROEhDc4XcKrWQh5JMqm/s16000/Developing%20Applications%20with%20Google%20Cloud%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Identify the purpose and value of Google Cloud products and services</div><div><br /></div><div>Describe best practices for cloud-native application development</div><div><br /></div><div>Implement federated identity management using Firebase authentication</div><div><br /></div><div>Deploy applications using Container Builder, Container Registry, and Terraform</div></div><div><br /></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/eK01Vj" target="_blank">Developing Applications with Google Cloud Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 4 course series</h2><div>In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.</div><div><br /></div><div>This class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud.</div><div><br /></div><div><b>This course teaches participants the following skills:</b></div><div><br /></div><div>• Use best practices for application development.</div><div><br /></div><div>• Choose the appropriate data storage option for application data.</div><div><br /></div><div>• Implement federated identity management.</div><div><br /></div><div>• Develop loosely coupled application components or microservices.</div><div><br /></div><div>• Integrate application components and data sources.</div><div><br /></div><div>• Debug, trace, and monitor applications.</div><div><br /></div><div>• Perform repeatable deployments with containers and deployment services.</div><div><br /></div><div>• Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.</div><div><br /></div><div><b>Applied Learning Project</b></div><div><br /></div><div>This specialization incorporates hands-on labs using our Qwiklabs platform.</div><div><br /></div><div>These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-90417197413441732482024-03-16T00:07:00.000-07:002024-03-16T00:07:26.433-07:00Cloud Application Development Foundations Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/y2Kqd2" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="806" data-original-width="1482" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEguoj-iYnfYHL6Kf62yABYlNozuzvIB-C0wQA1ySPBFSww1UATNiu3LjD2YGVr-6M9beX8K_GlYzp7rTpVS9RI68kOPAsbIPXAF3CTxpE7jZgvzR4e8bkjygCgVwDmCYiSFLdh6S8T2w4ccUU0ZPB-OvJ6dn3IdTf9ffEQwZyUTx1ka8wwx4lTPC3YRMbjH/s16000/Cloud%20Application%20Development%20Foundations%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Define cloud computing and explain its essential characteristics, models, benefits, infrastructure, & emerging trends. Create a cloud account</div><div><br /></div><div>Develop with front-end development languages and tools such as HTML, CSS, Javascript and React </div><div><br /></div><div>Program applications with back-end development languages and tools such as Node.js and NoSQL databases</div><div><br /></div><div>Build and deploy applications using Cloud Native methodologies and tools, CI/CD toolchains, and build your portfolio using GitHub</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/y2Kqd2" target="_blank">Cloud Application Development Foundations Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 5 course series</h2><div>This program will equip you with all the key </div><div>skills and technical know-how to kickstart your career as a full-stack </div><div>Cloud Native Developer. Guided by experts at IBM, you will learn to </div><div>build your own cloud-based applications and practice</div><div> working with the technologies behind them. </div><div><br /></div><div>The Cloud Application Development Foundations Specialization program </div><div>will teach you the tools and technologies that successful software </div><div>developers use to build, deploy, test, run, and manage Cloud Native </div><div>applications – putting you in an advantageous position</div><div> to begin a new career in a highly in-demand area. You do not require </div><div>any prior programming experience or Cloud background to start this </div><div>program. </div><div><br /></div><div>The courses in this program will help you develop skillsets in a variety</div><div> of technologies including, Cloud foundations, HTML, CSS, JavaScript, </div><div>GitHub, Node.js, React, Cloud Native practices, DevOps, CI/CD, and </div><div>more. After completing all the courses in the program,</div><div> you will have developed and deployed several applications on a cloud </div><div>platform and delivered Software as a Service (SaaS) solutions using </div><div>Cloud Native methodologies. </div><div><br /></div><div><b>Applied Learning Project</b></div><div><br /></div><div>The Cloud Application Development Foundations </div><div>Specialization program will teach you the tools and technologies that </div><div>successful software developers use to build, deploy, test, run, and </div><div>manage Cloud Native applications – putting you in an advantageous </div><div>position</div><div> to begin a new career in a highly in-demand area. You do not require </div><div>any prior programming experience or Cloud background to start this </div><div>program. </div><div><br /></div><div>The courses in this program will help you develop skillsets in a variety</div><div> of technologies including, Cloud foundations, HTML, CSS, JavaScript, </div><div>GitHub, Node.js, React, Cloud Native practices, DevOps, CI/CD, and </div><div>more. After completing all the courses in the program,</div><div> you will have developed and deployed several applications on a cloud </div><div>platform and delivered Software as a Service (SaaS) solutions using </div><div>Cloud Native methodologies. </div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-41843668730612673422024-03-16T00:03:00.000-07:002024-03-16T00:03:30.647-07:00Emerging Technologies: From Smartphones to IoT to Big Data Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/EK6Em4" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="899" data-original-width="1561" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhB2YbL93zPmc0X9UsCSQ4E7PFljOI0hdrMVokiP2PslyGWiUDBTNvhMyQTzCSnwQbCC6CcZqTMZxrWd6i8kmYMRqWSqEzkFOn7o1yAszztxy_99DwSVMnJbOmjCC2OX9tkCxVUoam2khQh__-LEKl3fJn8FRGfYnjKnOa2XJeZAVuhzurGp6xP0faUIxSK/s16000/Emerging%20Technologies%20From%20Smartphones%20to%20IoT%20to%20Big%20Data%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">Advance your subject-matter expertise</h2><div>Learn in-demand skills from university and industry experts</div><div>Master a subject or tool with hands-on projects</div><div>Develop a deep understanding of key concepts</div><div>Earn a career certificate from Yonsei University</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/EK6Em4" target="_blank">Emerging Technologies: From Smartphones to IoT to Big Data Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 4 course series</h2><div>This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.</div><div><br /></div><div><b>Applied Learning Project</b></div><div><br /></div><div>This Specialization includes various advanced projects. The Big Data project uses IBM SPSS Statistics, the AR (Augmented Reality) smartphone project analyzes limits of AR applications, the Cloud Computing project uses AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and the Smartphone project analyzes mobile communication, Wi-Fi, and Bluetooth wireless IoT networks.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-80726407545626230442024-03-15T06:08:00.000-07:002024-03-15T06:08:27.057-07:00TensorFlow: Advanced Techniques Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/vNKnqe" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="810" data-original-width="1514" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0ayGpSfMmaHi9froc28xhGR81mZ8wG7qtNojsYnbD-MuGpO92iY97zrELBggLU-cUa_h5rrHQs7LwFxyxFeJhcV7TpVLoFxACm4ayjCLQExeYWdGNfCCVz2PSwsETE95qtYw3Aj_30oiw6Usc-uQWhBCL30Tg8rJv8fPCzaUoL6mlZXOifhCL_CVIlgMG/s16000/TensorFlow%20Advanced%20Techniques%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Understand the underlying basis of the Functional API and build exotic non-sequential model types, custom loss functions, and layers.</div><div><br /></div><div>Learn optimization and how to use GradientTape & Autograph, optimize training in different environments with multiple processors and chip types.</div><div><br /></div><div>Practice object detection, image segmentation, and visual interpretation of convolutions.</div><div><br /></div><div>Explore generative deep learning, and how AIs can create new content, from Style Transfer through Auto Encoding and VAEs to GANs.</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/vNKnqe" target="_blank">TensorFlow: Advanced Techniques Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 4 course series</h2><h3 style="text-align: left;">About TensorFlow</h3><div>TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML, and developers easily build and deploy ML-powered applications. TensorFlow is commonly used for machine learning applications such as voice recognition and detection, Google Translate, image recognition, and natural language processing.</div><div><br /></div><div><b>About this Specialization</b></div><div>Expand your knowledge of the Functional API and build exotic non-sequential model types. Learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Explore generative deep learning including the ways AIs can create new content from Style Transfer to Auto Encoding, VAEs, and GANs.</div><div><br /></div><div><b>About you</b></div><div>This Specialization is for software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models. </div><div><br /></div><div><br /></div><div>Looking for a place to start? Master foundational basics with the </div><div>DeepLearning.AI TensorFlow Developer Professional Certificate</div><div>. </div><div><br /></div><div>Ready to deploy your models to the world? Learn how to go live with the </div><div>TensorFlow: Data and Deployment Specialization</div><div>.</div><div><br /></div><div><b>Applied Learning Project</b></div><div><br /></div><div>In this Specialization, you will gain practical knowledge of and hands-on training in advanced TensorFlow techniques such as style transfer, object detection, and generative machine learning.</div><div><br /></div><div>Course 1: Understand the underlying basis of the Functional API and build exotic non-sequential model types, custom loss functions, and layers. </div><div><br /></div><div>Course 2: Learn how optimization works and how to use GradientTape and Autograph. Optimize training in different environments with multiple processors and chip types.</div><div><br /></div><div>Course 3: Practice object detection, image segmentation, and visual interpretation of convolutions.</div><div><br /></div><div>Course 4: Explore generative deep learning and how AIs can create new content, from Style Transfer through Auto Encoding and VAEs to Generative Adversarial Networks.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-31075268109346318752024-03-15T06:04:00.000-07:002024-03-15T06:04:32.564-07:00Generative Adversarial Networks (GANs) Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/oqKeZ9" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="989" data-original-width="1556" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhAV1mPsQ4SFalgmuRTVOOnETbFlqPGPGopBU-wYYCH0OW37SCu99vjIV_Xr-EHsLwegiK4QmC7dckjMXZCPMKawmOtz8xaMDywf3ksTGi-DzQbm96gYTjlbXdFypZbOpRKtCywNH6vcE24fYvDjyLifuFXtxPFD1NaTSSlSVD8x8Z6gh1MGYp84g4TxHVO/s16000/Generative%20Adversarial%20Networks%20(GANs)%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Understand GAN components, build basic GANs using PyTorch and advanced DCGANs using convolutional layers, control your GAN and build conditional GAN</div><div><br /></div><div>Compare generative models, use FID method to assess GAN fidelity and diversity, learn to detect bias in GAN, and implement StyleGAN techniques</div><div><br /></div><div>Use GANs for data augmentation and privacy preservation, survey GANs applications, and examine and build Pix2Pix and CycleGAN for image translation</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/oqKeZ9" target="_blank">Generative Adversarial Networks (GANs) Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 3 course series</h2><div>About GANs</div><div>Generative Adversarial Networks (GANs) are powerful machine learning models capable of generating realistic image, video, and voice outputs. </div><div><br /></div><div>Rooted in game theory, GANs have wide-spread application: from improving cybersecurity by fighting against adversarial attacks and anonymizing data to preserve privacy to generating state-of-the-art images, colorizing black and white images, increasing image resolution, creating avatars, turning 2D images to 3D, and more. </div><div><br /></div><div>About this Specialization</div><div>The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more.</div><div><br /></div><div>Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs. </div><div><br /></div><div>About you</div><div>This Specialization is for software engineers, students, and researchers from any field, who are interested in machine learning and want to understand how GANs work.</div><div><br /></div><div>This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research.</div><div><b><br /></b></div><div><b>Applied Learning Project</b></div><div><br /></div><div>Course 1: In this course, you will understand the fundamental components of GANs, build a basic GAN using PyTorch, use convolutional layers to build advanced DCGANs that processes images, apply W-Loss function to solve the vanishing gradient problem, and learn how to effectively control your GANs and build conditional GANs.</div><div><br /></div><div> Course 2: In this course, you will understand the challenges of evaluating GANs, compare different generative models, use the Fréchet Inception Distance (FID) method to evaluate the fidelity and diversity of GANs, identify sources of bias and the ways to detect it in GANs, and learn and implement the techniques associated with the state-of-the-art StyleGAN.</div><div><br /></div><div>Course 3: In this course, you will use GANs for data augmentation and privacy preservation, survey more applications of GANs, and build Pix2Pix and CycleGAN for image translation.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-11970639141240357752024-03-15T05:59:00.000-07:002024-03-15T05:59:47.683-07:00Key Technologies for Business Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/6e6bMr" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="976" data-original-width="1541" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiMHYCFkTOMCxUcorKkCG4uaZpqhFg1mkQTA82Td092wY9L5UXUc0S8mCm7l1QWf4S0Q2kkf-IsC0rB_NMEq-8U9M-T37_3Td6wWEw660NGj_SxDNN-u2A3OM34MEL2mYr90JcnEpya1UaxiXH3cK_QBMFDm6NKO92FAfp1a3EsdrMx4W84Ki2yjWiBex7x/s16000/Key%20Technologies%20for%20Business%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Understand key technologies driving modern businesses and have meaningful conversations around Cloud, Data and AI, and related buzzwords</div><div><br /></div><div>Gain Foundational Knowledge of Cloud Computing, Public/Private/Hybrid Clouds, IaaS/PaaS/SaaS, VMs, Cloud Storage & Cloud Native practices like DevOps</div><div><br /></div><div>Describe Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, their impact on society, and our future in an AI enabled world</div><div><br /></div><div>Outline what is Data Science, tasks that a Data Scientist performs, and how Data Science is revolutionizing virtually all industries and businesses </div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/6e6bMr" target="_blank">Key Technologies for Business Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 3 course series</h2><div>In this Specialization, we will cover 3 key technologies that are foundational and driving significant growth and innovation. These are Cloud Computing, Data Science, and Artificial Intelligence (AI).</div><div><br /></div><div>Technology is essential for the future of business. Almost any organization that wants to modernize or get ahead, and anyone working there, needs to understand and leverage these essential technologies.</div><div><br /></div><div>The courses in this Specialization provide foundational knowledge of Cloud, Data and AI, including business drivers behind their growth, the value they provide, their applications and use cases, and an understanding of how these technologies work. You will not only become familiar with the buzzwords associated with these technologies, but also experience them in action and develop hands-on skills to start working with them.</div><div><br /></div><div>This Specialization is suitable for a variety of learners who are beginners with these technologies, including managers and executives, professionals who want to upskill, and students getting ready to start a career.</div><div><br /></div><div>There is no special prior knowledge or hardware required. The only pre-requisites are basic computer literacy, device with a modern web browser with internet connectivity, and motivation to self-learn online.</div><div><br /></div><div><b>Applied Learning Project</b></div><div><br /></div><div>Each course includes hands-on assignments and interactions that demonstrate specific technologies in action. For example, you will utilize Computer Vision to demonstrate the power of AI. Similarly, you will provision an instance of Cloud Object Storage, and use it to share files. These practical exercises are suitable for even those without any specialized IT skills or programming knowledge. </div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-91771825806759719742024-03-15T05:56:00.000-07:002024-03-15T05:56:42.812-07:00Machine Learning on Google Cloud Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/XYax9a" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="1002" data-original-width="1577" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiTOsiPeq2pJ6F1IKT81P0EwRz4f4Yr_2YM-BlB5uZxgltrGrNa_4sBfbsI6fZlYhoqFu6I4Cx9faC05ZNcCasB8kG56-ogVVV1H0xxm9wuzx2Ih1p1p3qVwom9FPDkNuBZxqoqqhRdVpSFM1q-BjVKZ8xbxaiTkz78XZ1PgCxszm9jyFQFyErMOQ-GOMmb/s16000/Machine%20Learning%20on%20Google%20Cloud%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Use Vertex AI AutoML and BigQuery ML to build, train, and deploy ML models</div><div><br /></div><div>Implement machine learning models using Keras and TensorFlow 2.x</div><div><br /></div><div>Implement machine learning in the enterprise best practices</div><div><br /></div><div>Describe how to perform exploratory data analysis and improve data quality</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/XYax9a" target="_blank">Machine Learning on Google Cloud Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 5 course series</h2><div>What is machine learning, and what kinds of problems can it solve? How can you build, train, and deploy machine learning models at scale without writing a single line of code? When should you use automated machine learning or custom training? </div><div><br /></div><div>This course teaches you how to build Vertex AI AutoML models without writing a single line of code; build BigQuery ML models knowing basic SQL; create Vertex AI custom training jobs you deploy using containers (with little knowledge of Docker); use Feature Store for data management and governance; use feature engineering for model improvement; determine the appropriate data preprocessing options for your use case; use Vertex Vizier hyperparameter tuning to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems, write distributed ML models that scale in TensorFlow; and leverage best practices to implement machine learning on Google Cloud.</div><div><br /></div><div><br /></div><div>><b> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: </b></div><div><b>https://qwiklabs.com/terms_of_service</b></div><div><b> <</b></div><div><br /></div><div><b>Applied Learning Project</b></div><div><br /></div><div>This specialization incorporates hands-on labs using our Qwiklabs platform.</div><div><br /></div><div>These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-45085079789881285712024-03-15T05:52:00.000-07:002024-03-15T05:52:44.073-07:00Natural Language Processing Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/rQKnNR" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="1002" data-original-width="1543" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjzKpDY3PW5YkVeysU7f73lPy4XcRypmX4JwQdAKKc5J0e115lcYi-ftUZ2YH9CmNI1JabH6tlAe-cRKcu7SZPwmlaSKofs4c6xaUIQjL8AHOjLN54Lrwp0eg7YiUy7H7SaEk2nAkKMoEbFscV43CzZpEbb0TlD3DxECUoEf8_uqGmUiLzb0MQFcx-3bdbV/s16000/Natural%20Language%20Processing%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies & translate words.</div><div><br /></div><div>Use dynamic programming, hidden Markov models, and word embeddings to implement autocorrect, autocomplete & identify part-of-speech tags for words.</div><div><br /></div><div>Use recurrent neural networks, LSTMs, GRUs & Siamese networks in Trax for sentiment analysis, text generation & named entity recognition.</div><div><br /></div><div>Use encoder-decoder, causal, & self-attention to machine translate complete sentences, summarize text, build chatbots & question-answering.</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/rQKnNR" target="_blank">Natural Language Processing Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 4 course series</h2><div>Natural Language Processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence that uses algorithms to interpret and manipulate human language. </div><div><br /></div><div>This technology is one of the most broadly applied areas of machine learning and is critical in effectively analyzing massive quantities of unstructured, text-heavy data. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio.</div><div><br /></div><div>By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots. These and other NLP applications are going to be at the forefront of the coming transformation to an </div><div>AI-powered future</div><div><br /></div><div>This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. </div><div>Younes Bensouda Mourri</div><div> is an Instructor of AI at Stanford University who also helped build the </div><div>Deep Learning Specialization</div><div>. </div><div>Łukasz Kaiser</div><div> is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper. </div><div><br /></div><div><b>Applied Learning Project</b></div><div><br /></div><div>This Specialization will equip you with machine learning basics and state-of-the-art deep learning techniques needed to build cutting-edge NLP systems:</div><div><br /></div><div>• Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies, translate words, and use locality-sensitive hashing to approximate nearest neighbors.</div><div><br /></div><div>• Use dynamic programming, hidden Markov models, and word embeddings to autocorrect misspelled words, autocomplete partial sentences, and identify part-of-speech tags for words.</div><div><br /></div><div>• Use dense and recurrent neural networks, LSTMs, GRUs, and Siamese networks in TensorFlow and Trax to perform advanced sentiment analysis, text generation, named entity recognition, and to identify duplicate questions. </div><div><br /></div><div>• Use encoder-decoder, causal, and self-attention to perform advanced machine translation of complete sentences, text summarization, question-answering, and to build chatbots. Learn T5, BERT, transformer, reformer, and more with 🤗 Transformers!</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-44900437749958751162024-03-12T23:16:00.000-07:002024-03-12T23:16:02.452-07:00Single Page Web Applications with AngularJS<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/Mmz6mK" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="737" data-original-width="1431" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEidQKfxgkBVX0fmdzYZ7OL35lIEAV_oXnW4HyozQ0h70IR5GEfuJx-tKBAn7fo7NySNAt7cHASq8mNj0JSoj3uZo4f0Lce8fhdUJrdizGh3AptzNoA1DddsVZ_pt8K5Yf20zqDbOsJlZEO_wUgfu8TztyWnqp2R5kWZchnqwoi2xXjaYygDM7LNoNIcXevE/s16000/Single%20Page%20Web%20Applications%20with%20AngularJS.PNG" /></a></div><br /><div><h2 style="text-align: left;">Skills you'll gain</h2><div><b>Unit Testing</b></div><div><b><br /></b></div><div><b>Web Development</b></div><div><b><br /></b></div><div><b>JavaScript</b></div><div><b><br /></b></div><div><b>Angularjs</b></div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/Mmz6mK" target="_blank">Single Page Web Applications with AngularJS</a></h2><div><h2 style="text-align: left;">There are 5 modules in this course</h2><div>Do you want to write powerful, maintainable, and testable front end applications faster and with less code? Then consider joining this course to gain skills in one of the most popular Single Page Application (SPA) frameworks today, AngularJS. Developed and backed by Google, AngularJS is a very marketable skill to acquire.</div><div><br /></div><div>In this course, we will explore the core design of AngularJS 1.x (latest version of AngularJS 1), its components and code organization techniques. We will enhance the functionality of our web app by utilizing dependency injection to reuse existing services as well as write our own. We will create reusable HTML components that take advantage of AngularJS data binding as well as extend HTML syntax with a very powerful feature of AngularJS called directives. We’ll set up routing so our SPA can have multiple views. We will also learn how to unit test our functionality. At the end of this course, you will build a fully functional, well organized and tested web application using AngularJS and deploy it to the cloud.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-35475396082965984192024-03-12T23:11:00.000-07:002024-03-12T23:11:44.945-07:00Introduction to Back-End Development<div style="text-align: left;"> <div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/21zxrO" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="940" data-original-width="1506" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEilrZtUQf0blPfu2mmnbgLETO10Bx3pmEfNuTwy5HLt292Ul5-lo-mxGfMf7UQ0nawDSVlbY1WBroRpUJ70lVaMIgVuOKDG_0M7sr1WMitKvEq0Bkb974AjSYmxSWJL8svTDuSKsXGsDb5BbTo9gzGVoeKdAoViwaoZjvkngzTH3F69igtPvMveMOQ56lUt/s16000/Introduction%20to%20Back-End%20Development.PNG" /></a></div><br /></div><div style="text-align: left;"><h2 style="text-align: left;">What you'll learn</h2><div>Distinguish between front-end, back-end, and full-stack developers.</div><div><br /></div><div>Create and style a webpage with HTML and CSS.</div><div><br /></div><div>The benefits of working with UI frameworks.</div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/21zxrO" target="_blank">Introduction to Back-End Development</a></h2><div><h2 style="text-align: left;">There are 4 modules in this course</h2><div>Welcome to Introduction to Back-End Development, the first course in the Meta Back-End Developer program. </div><div><br /></div><div>This course is a good place to start if you want to become a web developer. You will learn about the day-to-day responsibilities of a web developer and get a general understanding of the core and underlying technologies that power the internet. You will learn how front-end developers create websites and applications that work well and are easy to maintain. </div><div><br /></div><div>You’ll be introduced to the core web development technologies like HTML and CSS and get opportunities to practice using them. You will also be introduced to modern UI frameworks such as Bootstrap and React that make it easy to create interactive user experiences. </div><div><br /></div><div><b>By the end of the course, you will be able to: </b></div><div>- Describe the front-end developer role </div><div>- Explain the core and underlying technologies that power the internet </div><div>- Use HTML to create a simple webpage </div><div>- Use CSS to control the appearance of a simple webpage </div><div>- Explain what React is </div><div>- Describe the applications and characteristics of the most popular UI frameworks </div><div><br /></div><div>For the final project in this course, you will create and edit a webpage using HTML and the Bootstrap CSS framework. Using a responsive layout grid, you will construct a responsive webpage containing text and images that looks great on any size screen. </div><div><br /></div><div>This is a beginner course intended for learners eager to learn the fundamentals of web development. To succeed in this course, you do not need prior web development experience, only basic internet navigation skills and an eagerness to get started with coding.</div></div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-43423462784747282442024-03-12T23:07:00.000-07:002024-03-12T23:07:48.290-07:00Developing Cloud Apps with Node.js and React<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/ZQ59d1" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="854" data-original-width="1545" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiJOh8cvdeFkta3AjU_S7mpyPD0w82pdFMbdWVPRRBsbzGb1n14kWAhdnIjzVqf04rmgCs2-98OaDajjNCe4vBxDCtL8pQBjQ_FmNKzHgpZ_sE4zIsEt-SLAq3GZNpL8e-8m1MimRjc-w4zXAv4hnVaFhTxYl6hCsVH_j_hSk5lBaoDcZWzyBpzrkgEIl_C/s16000/Developing%20Cloud%20Apps%20with%20Node.js%20and%20React.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Create server-side applications with Node.jsJavaScript framework</div><div><br /></div><div>Extend your Node.js application with Express back-end web application framework</div><div><br /></div><div>Deploy your web application to IBM Cloud platform</div><div><br /></div><div>Develop front-end web interfaces with React.jsx and ES6</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/ZQ59d1" target="_blank">Developing Cloud Apps with Node.js and React</a></h2><div><h2 style="text-align: left;">There are 5 modules in this course</h2><div><b>Note: This course has been replaced by the following two IBM courses: </b></div><div><br /></div><div>- Developing Front-End Apps with React </div><div>- Developing Back-End Apps with Node.js and Express </div><div><br /></div><div>Are you ready to learn about some of the most in-demand libraries in back-end and front-end development? This is the course for you! In a recent Stack Overflow survey, JavaScript was ranked as the most commonly used programming language. Node.js and React.js were voted as the most popular web frameworks and technologies. </div><div><br /></div><div>In this course, you will learn how to develop applications using Node.js, Express and React. Specifically, you will: </div><div>- Explore how Node.js works by using callback functions and extend your Node.js applications by importing external modules </div><div>- develop applications using asynchronous callbacks and promises </div><div>- Use routing, middleware, and template rendering to extend the Node.js framework and handle dynamic content</div><div>- create REST APIs and perform CRUD operations </div><div>- Extend features of Node.js applications using the Express web application framework </div><div>- Build a rich front-end application using REACT & ES6 </div><div><br /></div><div>Throughout the course, you will complete numerous hands-on labs to gain practical experience. At the end of the course, you will demonstrate your Node and React skills with a final project to build your portfolio. </div><div><br /></div><div>This course will help you succeed as a full-stack developer. It suits those in IT looking to step up in their careers or new graduates seeking to establish their server-side skills. This course suits those who need to manage cloud-centric projects.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-89264237363252127672024-03-12T23:03:00.000-07:002024-03-12T23:03:10.995-07:00Full Stack Software Developer Assessment<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/nLx0k7" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="755" data-original-width="1284" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgu5f2DJhyphenhyphenCScgfO5Lrfkc6BoaWpedAEsMGm7dAYRgqmMdzZ3rhCGbHwxqJ82N3GKGwRSJ9cIEnTX6pc5uJgad_lKB_MbFaP5vHFZpIf4glfD_eQv8GYPx5gLntQwlWVJeiE0iIevTMte6o26_mjQzOUpQ_WV9coAu2tI4ywOC8HHGpRxdqA7Rz0dHtIJ4i/s16000/Full%20Stack%20Software%20Developer%20Assessment.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Demonstrate mastery of skills and knowledge acquired in the IBM Full Stack Software Developer Professional Certificate.</div><div><br /></div><div>Apply understanding of common technologies related to full-stack, front-end, and back-end application development.</div><div><br /></div><div>Explain concepts in cloud computing, web development, HTML, CSS, JavaScript, GitHub, Python and Django programming, microservices, and containers.</div><div><br /></div><div>Analyze and troubleshoot issues in software design, development, deployment, and operations.</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/nLx0k7" target="_blank">Full Stack Software Developer Assessment</a></h2><div><h2 style="text-align: left;">There are 2 modules in this course</h2><div>This is the final course in the IBM Full Stack Software Developer Professional Certificate. It will test your knowledge and the skills you’ve acquired so far. This course contains the graded final examination covering content from various courses in the PC. </div><div><br /></div><div>You will be assessed on topics such as core cloud computing concepts; languages like HTML, CSS, JavaScript, and Python; frameworks such as Node.js, Express, and React; and back-end technologies such as Docker, Kubernetes, OpenShift, SQL, Django, Microservices, and Serverless.</div><div><br /></div><div>Prior to taking this course, please ensure you have completed all previous courses in the IBM Full Stack Software Developer PC.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-10843484261471838152024-03-12T22:52:00.000-07:002024-03-12T22:52:29.962-07:00Developing Front-End Apps with React<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/LXBbaZ" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="648" data-original-width="1514" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgeAKjF4hRtXl49WZ_SEE6vxhKlZlD2vtbpMfDDoU73QgEzH8r9owh3wkhrIO5SqluzOQMQtLm7WSmHKg73FsyGlUPYgu2SI-EcRg9n6mVNsnYE1sJsWbgNA2G3Y_OWTD9nImUhk8JniytTp2X_Mr7j3d9ljJk8CW2BOQq5lA5S2D-YGYS5WRx_GSg3woEz/s16000/Developing%20Front-End%20Apps%20with%20React.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Develop interactive user interfaces (UIs) and web applications using React, JSX, and ES6.</div><div><br /></div><div>Build dynamic websites and front-end applications quickly and easily with reusable React components.</div><div> </div><div> Communicate and exchange data with external services using GET, POST, UPDATE, and DELETE requests.</div><div><br /></div><div>Employ and work with various React concepts and features including props, states, hooks, forms, and Redux.</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/LXBbaZ" target="_blank">Developing Front-End Apps with React</a></h2><div><h2 style="text-align: left;">There are 4 modules in this course</h2><div>React is one of the most popular frameworks in the Web and Front-end application Development category. </div><div><br /></div><div><b>In this course, you will </b> </div><div><br /></div><div>- build rich Front-End applications with React and ES6 </div><div>- connect React components using data and state </div><div>- write rich React components with advanced features like Hooks and Redux </div><div><br /></div><div>In addition, you will explore how to access the React web framework user interface (UI) library and run rich React applications. You will find ways to use React components and change their properties and states in a dynamic user interface. You will learn to connect to an external server from a React page. The course introduces different testing tools that you can use to test the component without manual verification. </div><div><br /></div><div>Throughout the course, you will complete numerous hands-on labs to gain practical experience. At the end of the course, you will demonstrate your React skills with a final project to add to your portfolio. </div><div><br /></div><div>This course will help you succeed as a front-end or full-stack developer. It suits those in IT looking to step up in their careers or new graduates seeking to establish their client-side skills. </div><div><br /></div><div>Note: This course requires knowledge of HTML, CSS, JavaScript, and Git/GitHub</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-85409490538384880002024-03-11T01:29:00.000-07:002024-03-11T01:29:25.413-07:00Customer Experiences with Contact Center AI - Dialogflow CX Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/Kjm5Yv" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="775" data-original-width="1523" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjI-kZtMTTk8aNE6Sn3ElqaDU4_OWO7AlxZazeXfaFiMYKKBGRiypmViF02lveimvojb7PYU4oFSeH1ab4JSRsUiC6dgaVMbc2FRZh421wkzMXtVjEMIJptaKvttoYnPQTcjkTCUZS3jFxcl2K-1s3BfS73I2LAwqOBC6vMDVeJR932bIllvjO9XEqHYxM1/s16000/Customer%20Experiences%20with%20Contact%20Center%20AI%20-%20Dialogflow%20CX%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Explain how Dialogflow can be used in Contact Center applications.</div><div><br /></div><div>Implement a virtual agent using Dialogflow CX, including reading and writing from Firestore using Cloud Functions and using tools for troubleshooting.</div><div><br /></div><div>Manage virtual agent environments and identify key aspects such as security and compliance in the context of contact centers.</div><div><br /></div><div>Analyze audio recordings using the Speech Analytics Framework (SAF) and recognize use cases where Agent Assist adds value.</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/Kjm5Yv" target="_blank">Customer Experiences with Contact Center AI - Dialogflow CX Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 4 course series</h2><div>In this series, learn how to design customer conversations using Contact Center</div><div>Artificial Intelligence (CCAI). You’ll use Dialogflow CX to create virtual agents and test</div><div>them using the simulator. Learn to add functionality to access data from external</div><div>systems, making virtual agents conversationally dynamic. You'll be introduced to testing</div><div>methods, connectivity protocols, APIs, environment management, and compliance</div><div>measures. Learn best practices for integrating conversational solutions with your existing</div><div>contact center software and implementing solutions securely and at scale.</div><div><br /></div><div><b>Applied Learning Project</b></div><div><br /></div><div>This Specialization includes lab based assignments, such as creating a basic chat virtual agent, running prebuilt virtual agents, adding contexts and voice to virtual agents, adding route groups, using cloud functions and managing environments in Dialogflow CX.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-42603543747265235202024-03-11T01:25:00.000-07:002024-03-11T01:25:42.130-07:00NoSQL, Big Data, and Spark Foundations Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/k0EdAx" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="790" data-original-width="1569" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgunFyoaHFijzCpcLBFLZMFdt0x9OMcDdtQdE0g3_ciI6LMAWF_LOMaZgxfKcyocj61WPnsFn9-oWgjM4JlpHI1Fe4hWcj9xjSmpyNa1FxH-OOVXjoyfZ4AU5No3DMVpBTlJy0z2-0BhQP-v_EvQiwO_EKbF3WE7Tx2ofCwLmS8eTFqtcE1rxagUwFoVENS/s16000/NoSQL,%20Big%20Data,%20and%20Spark%20Foundations%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Work with NoSQL databases to insert, update, delete, query, index, aggregate, and shard/partition data.</div><div><br /></div><div>Develop hands-on NoSQL experience working with MongoDB, Apache Cassandra, and IBM Cloudant.</div><div><br /></div><div>Develop foundational knowledge of Big Data and gain hands-on lab experience using Apache Hadoop, MapReduce, Apache Spark, Spark SQL, and Kubernetes.</div><div><br /></div><div>Perform Extract, Transform and Load (ETL) processing and Machine Learning model training and deployment with Apache Spark.</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/k0EdAx" target="_blank">NoSQL, Big Data, and Spark Foundations Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 3 course series</h2><div>Big Data Engineers and professionals with NoSQL skills are highly sought after in the data management industry. This Specialization is designed for those seeking to develop fundamental skills for working with Big Data, Apache Spark, and NoSQL databases. Three information-packed courses cover popular NoSQL databases like MongoDB and Apache Cassandra, the widely used Apache Hadoop ecosystem of Big Data tools, as well as Apache Spark analytics engine for large-scale data processing.</div><div><br /></div><div>You start with an overview of various categories of NoSQL (Not only SQL) data repositories, and then work hands-on with several of them including IBM Cloudant, MonogoDB and Cassandra. You’ll perform various data management tasks, such as creating & replicating databases, inserting, updating, deleting, querying, indexing, aggregating & sharding data. Next, you’ll gain fundamental knowledge of Big Data technologies such as Hadoop, MapReduce, HDFS, Hive, and HBase, followed by a more in depth working knowledge of Apache Spark, Spark Dataframes, Spark SQL, PySpark, the Spark Application UI, and scaling Spark with Kubernetes. In the final course, you will learn to work with Spark Structured Streaming Spark ML - for performing Extract, Transform and Load processing (ETL) and machine learning tasks. </div><div><br /></div><div>This specialization is suitable for beginners in the fields of NoSQL and Big Data – whether you are or preparing to be a Data Engineer, Software Developer, IT Architect, Data Scientist, or IT Manager. </div><div><br /></div><div><b>Applied Learning Project</b></div><div><br /></div><div>The emphasis in this specialization is on learning by doing. As such, each course includes hands-on labs to practice & apply the NoSQL and Big Data skills you learn during lectures. </div><div><br /></div><div>In the first course, you will work hands-on with several NoSQL databases- MongoDB, Apache Cassandra, and IBM Cloudant to perform a variety of tasks: creating the database, adding documents, querying data, utilizing the HTTP API, performing Create, Read, Update & Delete (CRUD) operations, limiting & sorting records, indexing, aggregation, replication, using CQL shell, keyspace operations, & other table operations.</div><div><br /></div><div>In the next course, you’ll launch a Hadoop cluster using Docker and run Map Reduce jobs. You’ll</div><div>explore working with Spark using Jupyter notebooks on a Python kernel. You’ll build your Spark skills using DataFrames, Spark SQL, and scale your jobs using Kubernetes. </div><div><br /></div><div>In the final course you will use Spark for ETL processing, and Machine Learning model training and deployment using IBM Watson.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-4530764397085507422024-03-11T01:18:00.000-07:002024-03-11T01:18:24.761-07:00Artificial Intelligence: an Overview Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/QyE69a" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="754" data-original-width="1442" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgBz7XunA5v7IrdsZngTZWuGx0SKrlzRWwjx5HprCVUnzaVsk6Xh8UWE5JQK0_s0Z_lvVrawNRGzesWDIk1x7MUtCgZ3apfaEthWv5eucimJLKQHn1vH7JN-z7NTkevPw362g1qoGJ8x4DLTukSz-4gdmbVCnerlwZbGTZ9LYC5YDOHKTIiTx5NWjvqwq2Y/s16000/Artificial%20Intelligence%20an%20Overview%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">Advance your subject-matter expertise</h2><div>Learn in-demand skills from university and industry experts</div><div><br /></div><div>Master a subject or tool with hands-on projects</div><div><br /></div><div>Develop a deep understanding of key concepts</div><div><br /></div><div>Earn a career certificate from Politecnico di Milano</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/QyE69a" target="_blank">Artificial Intelligence: an Overview Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 5 course series</h2><div>This Specialization is intended for beginners seeking to enter the artificial intelligence world. Through five courses, you will cover artificial intelligence technical groundings (including machine learning and technologies), ethical and legal issues, which will give you a clear picture of what artificial intelligence is and what opportunities artificial intelligence will provide in the next future.</div><h4 style="text-align: left;">Applied Learning Project</h4><div>No specific hands-on project is required but through this specialization, composed by 5 introductory courses. Learners will have all the necessary concept and tools to start building their own projects, combining the tools and concepts seen in the courses.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-29768697464686213552024-03-11T01:06:00.000-07:002024-03-11T01:06:17.283-07:00Machine Learning: Algorithms in the Real World Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/k0EdbM" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="718" data-original-width="1590" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgWp08HNhTzLBFLHVt5g1RSlbcdaSQP_mWZpk3GdEk6ClcZnZoCN_FCNEL-zCLVx4a90j9qNc7isSb8LnDv7WqfSPwljCYt1NIDrskKGyA9G_MSDYt4MJ0F1gRodJK2lD492fiYleSNstxVksjnEr3zKvtEAisKZ3afexSlkP-VMa2RJBp4et6urEYf_LTS/s16000/Machine%20Learning%20Algorithms%20in%20the%20Real%20World%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>Clearly define an ML problem </div><div><br /></div><div>Survey available data resources and identify potential ML applications </div><div><br /></div><div>Prepare data for effective ML applications</div><div><br /></div><div>Take a business need and turn it into a machine learning application</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/k0EdbM" target="_blank">Machine Learning: Algorithms in the Real World Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 4 course series</h2><div>This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application. </div><div><br /></div><div>After completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0tag:blogger.com,1999:blog-3037040336026797185.post-18819552422600356532024-03-11T01:00:00.000-07:002024-03-11T01:00:00.686-07:00Mathematics for Machine Learning and Data Science Specialization<div class="separator" style="clear: both; text-align: center;"><a href="https://imp.i384100.net/an6zZZ" imageanchor="1" style="margin-left: 1em; margin-right: 1em;" target="_blank"><img border="0" data-original-height="816" data-original-width="1590" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXqRgNNwNTs2Un4MM4Zk6ho4JpUd6oJBgXQVWpqpVAmT2oub2x35H_NPA0ovrlYkuzgR8u-rEridxvGNSNY1InF-C2_v98cS0UCuIaeAAMS0pyvCSg-a6_Lhcb2o9g6YPbb7JfEL3hL2h5Lq4aoFX92GkorDq11pX0X34HQLhoW_u8SHkTGZomZ4aShgjc/s16000/Mathematics%20for%20Machine%20Learning%20and%20Data%20Science%20Specialization.PNG" /></a></div><br /><div><h2 style="text-align: left;">What you'll learn</h2><div>A deep understanding of the math that makes machine learning algorithms work.</div><div><br /></div><div>Statistical techniques that empower you to get more out of your data analysis.</div></div><h2 style="text-align: left;">Join Free: <a href="https://imp.i384100.net/an6zZZ" target="_blank">Mathematics for Machine Learning and Data Science Specialization</a></h2><div><h2 style="text-align: left;">Specialization - 3 course series</h2><div>Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly Specialization is where you’ll master the fundamental mathematics toolkit of machine learning.</div><div><br /></div><div>Many machine learning engineers and data scientists need help with mathematics, and even experienced practitioners can feel held back by a lack of math skills. This Specialization uses innovative pedagogy in mathematics to help you learn quickly and intuitively, with courses that use easy-to-follow plugins and visualizations to help you see how the math behind machine learning actually works. </div><div><br /></div><div>This is a beginner-friendly program, with a recommended background of at least high school mathematics. We also recommend a basic familiarity with Python, as labs use Python to demonstrate learning objectives in the environment where they’re most applicable to machine learning and data science.</div><div><br /></div><div><b>Applied Learning Project</b></div><div><br /></div><div><b>By the end of this Specialization, you will be ready to:</b></div><div><br /></div><div>Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence</div><div><br /></div><div>Apply common vector and matrix algebra operations like dot product, inverse, and determinants </div><div><br /></div><div>Express certain types of matrix operations as linear transformations </div><div><br /></div><div>Apply concepts of eigenvalues and eigenvectors to machine learning problems</div><div><br /></div><div>Optimize different types of functions commonly used in machine learning</div><div><br /></div><div>Perform gradient descent in neural networks with different activation and cost functions </div><div><br /></div><div>Describe and quantify the uncertainty inherent in predictions made by machine learning models</div><div><br /></div><div>Understand the properties of commonly used probability distributions in machine learning and data science</div><div><br /></div><div>Apply common statistical methods like MLE and MAP</div><div><br /></div><div>Assess the performance of machine learning models using interval estimates and margin of errors </div><div><br /></div><div>Apply concepts of statistical hypothesis testing</div></div>Python Codinghttp://www.blogger.com/profile/12358561304849907392noreply@blogger.com0