[NEW] AI-901: Microsoft Azure AI Fundamentals - Exams 2026

Are you interested in learning or improving your knowledge of VMware vSphere virtualization? Do you want to learn from someone who has practical working experience in VMware virtualization? Are you seeking knowledge on how to improve on the job if you are already managing the VMware vSphere environment? If you fall into the above set of students, you have made the right decision to enroll in this course.This course is explained step-by-step. I have already published two courses on Udemy with students across the globe, so I know how to impact knowledge. I make complex concepts simple for my students. As of the time of publishing this couse, my already published couses are rated "Highest Rated"It is a good decision to acquire or improve your knowledge of Vmware virtualization because Vmware is one of the leading virtualization platforms today. They powered some of the cloud providers today and also run on hyperscale cloud providers like Azure, AWS, Google,etc.I have over 15 years of working experience in IT infrastructure and have been working with VMware virtualization for over 10 years. I got my first certification as a VMware Certified Professional (VCP 5.0) in 2014, and over the years I have mastered VMware Virtualization. If you enroll in this course, you will acquire the knowledge to administer VMware Sphere Virtual Infrastructure to the level of an expert. The course is for both beginners and advanced students. who wants to learn or improve skills in VMware virtualization.Here are some of the topics:VMWARE VSPHEREIntroductionESXi HypervisorVirtual MachineVcenterNetworking in vSphereDeployment and Planning ToolsESXI DEPLOYMENTIntroductionDeploy the First ESXi ServerPost D

Mastering LLM Parallelism: Scale Large Language Models with DeepSpeed Multi-GPU SystemsAre you ready to unlock the full potential of large language models (LLMs) and train them at scale? In this comprehensive course, you’ll dive deep into the world of parallelism strategies, learning how to efficiently train massive LLMs using cutting-edge techniques like data, model, pipeline, and tensor parallelism. Whether you’re a machine learning engineer, data scientist, or AI enthusiast, this course will equip you with the skills to harness multi-GPU systems and optimize LLM training with DeepSpeed.What You’ll LearnFoundational Knowledge: Start with the essentials of IT concepts, GPU architecture, deep learning, and LLMs (Sections 3-7). Understand the fundamentals of parallel computing and why parallelism is critical for training large-scale models (Section 8).Types of Parallelism: Explore the core parallelism strategies for LLMs—data, model, pipeline, and tensor parallelism (Sections 9-11). Learn the theory and practical applications of each method to scale your models effectively.Hands-On Implementation: Get hands-on with DeepSpeed, a leading framework for distributed training. Implement data parallelism on the WikiText dataset and master pipeline parallelism strategies (Sections 12-13). Deploy your models on RunPod, a multi-GPU cloud platform, and see parallelism in action (Section 14).Fault Tolerance Scalability: Discover strategies to ensure fault tolerance and scalability in distributed LLM training, including advanced checkpointing techniques (Section 15).Advanced Topics Trends: Stay ahead of the curve with emerging trends and advanced topics in LLM parallelism, preparing you for the future of AI (Section 16).Why Take This Course?Practical, Hands-On F

Important Note: This course requires you to download Docker Desktop from Docker website . If you are a Udemy Business user, please check with your employer before downloading software.Course Modules01. Install Docker Desktop and HelmCLI02. Helm Install03. Helm Upgrade with set option04. Helm Upgrade with Chart Versions05. Helm Uninstall Keep History06. Helm Install Generated Name07. Helm Install Atomic08. Helm with Namespaces09. Helm Override Values10. Helm Chart Structure11. Helm Dev BuiltIn Objects12. Helm Dev Basics13. Helm Dev If Else EQ14. Helm Dev If Else AND BOOLEAN15. Helm Dev If Else OR16. Helm Dev If Else NOT17. Helm Dev WITH18. Helm Dev WITH If Else19. Helm Dev Variables20. Helm Dev Range List21. Helm Dev Range Dict22. Helm Dev Named Templates23. Helm Dev Printf Function24. Helm Dev call template in template25. Helm Create and Package Chart26. Helm Dependency27. Helm Dependency Alias28. Helm Dependency Condition29. Helm Dependency Condition Alias30. Helm Dependency Tags31. Helm Dependency Override Subchart Values32. Helm SubChart Global Values33. Helm Dependency Import Values Explicit34. Helm Dependency Import Values Implicit35. Helm Starters36. Helm Plugins37. Helm Plugins Build38. Helm Hooks39. Helm Hooks Delete Policy40. Helm Hook Weights41. Helm Tests42. Helm Resource Policy43. Helm Sign and Verify Charts44. Helm Repo on GitHub45. Integrate with ArtifactHub46. Helm Values Validate with JSON Schema Each of my courses comes withAmazing Hands-on Step By Step Learning ExperiencesPractical demos for each and every conceptFriendly Support in the Q&

Let me show you how to master something that most firmware developer only dream of:Firmware Updates over EthernetIn this course, you’re going to learn how to implement Firmware Updates using STM32 and the W5500 TCP/IP Offload Ethernet module.But we’re not just scratching the surface, we’re going deep.You’ll walk away knowing how to build a fully functional system that can seamlessly download, update, and boot the firmware update like clockwork, with no user intervention.This course is for the embedded systems pros who are hungry to step up their game and learn a skill that can truly make you stand out.I’m talking...Embedded Network ProgrammingBootloader DevelopmentFlash Memory ProgrammingBy the time you're done, you'll be able to:Implement DNS to resolve the ip addresses of domains.Develop an HTTP client for connecting to the remote update server.Implement HTTP GET request for accessing the latest firmware files.Parse the firmware data to extract it from the HTTP Response.Set up a remote server to manage and deploy those updates.Partition the microcontroller’s flash memory to store firmware updates.Write the firmware update directly to your microcontroller’s memory.Design and implement a custom bootloader that seamlessly boots the new firmware.You’ll be building systems that you can use in real-world projects, products, and solutions.What You Get Inside the Course:A step-by-step guide to creating a complete firmware updates systems over ethernet.Industry-level techniques that will make you a valuable asset in any embedded systems teamAnd yeah, by the end, you’ll be walking around with the kind of knowledge that makes other engineers w

Embark on a transformative educational journey with a distinct course tailored to equip you with the knowledge essential for excelling in the dynamic field of cybersecurity, enhanced by artificial intelligence. Unlike traditional video-based courses, this program emphasizes practical testing, offering a hands-on approach to mastering the intricacies of AI integration within cybersecurity practices. As digital threats become increasingly sophisticated, a deep understanding of these complexities is crucial for professionals committed to safeguarding digital assets and maintaining robust security infrastructures. The course delves into the foundational theories of artificial intelligence and machine learning, providing insights into how these technologies can be strategically leveraged to predict, identify, and neutralize cyber threats. You will explore AI algorithms in depth, learning how they can be applied to enhance security protocols, automate threat detection, and improve incident response strategies. With a focus on practical application, the course prepares you to conceptualize and implement innovative strategies that address the complex challenges faced by organizations today. As you progress, you will engage with advanced topics, including the ethical implications and governance issues associated with AI in cybersecurity. This exploration offers a nuanced perspective on balancing technological innovation with ethical responsibility, a crucial consideration for any professional at the intersection of AI and security. The course's practical approach ensures that you are not only familiar with theoretical frameworks but are also adept at navigating the regulatory landscape, ensuring compliance while fostering technological advancement. Furthermore, the course immerses you in the intricacies of threat intelligence and risk management, emphasizing AI's role in enhancing these critical areas. Through practical models and testing scenarios, you will learn to integrate AI into existing s

Learn Arduino Programming to build a working prototype of your Next IDEAThis course is for beginners to advance Arduino Users. It doesn’t matter if you already know C Programming. We will begin our journey right from the basics of Arduino Uno. In the first few sections, we will brush-up the concept of C Programming in the context of Arduino. Later, we will make some Arduino Projects. The concept learned in the early part of the course will help us take projects to the next level (advance).Short Description:"The Biggest objective of this course is to give you hands-on experience with Arduino Uno. This course will not only help you learn Arduino Programming but also help you understand the electronic circuit. We'll build several projects which will motivate you to learn concepts of electronics and hardware design. We have covered various popular interfaces like Bluetooth, Ethernet, etc. with example projects”This course is a step-by-step guide to setting up Arduino IDE and electronics circuits for Programming. The course starts with very basic concepts and ends up making complex Arduino projects. We will set up every circuit from scratch and write Arduino programs for it. We’ll spend enough time in the beginning, to get the basics right. This will save time in the long run to get you confident to solve complex Arduino programming tasks.Later, we'll be building some mini projects using LED, Switches, Sensors (Temperature/Humidity/Light Intensity), PIR Motion Sensor, Servo Motors, Character LCD Display Module, IR Sensor, Ethernet Shield, Wireless ZigBee Module, Bluetooth Module (HC-05), Streaming live data to IoT Cloud Platform like ThingSpeak and many more. These example projects will provide you with hands-on experience. After taking this course you’ll feel confident working with embedded systems projects.In the end, we will connect all the bits and pieces we have learned so far to deliver bigger project