Microsoft launched the best course on Generative AI.

Learn the basics of building Generative AI applications with our comprehensive 18-lesson course by Microsoft Cloud Advocates. Each lesson covers a key aspect of Generative AI principles and application development. Throughout this course, you will build your own Generative AI startup to gain an understanding of the requirements for launching your ideas.

Microsoft Cloud Advocates have created an incredible 18-lesson course that demystifies the fundamentals of building Generative AI applications. Whether you’re a beginner or have some experience, this course has something for everyone.

What sets this course apart is its comprehensive approach. It covers a wide range of topics, from understanding the basics of Generative AI and Large Language Models (LLMs) to hands-on coding lessons in both Python and TypeScript. Each lesson is designed to be self-contained, allowing you to dive into the topics that interest you the most.

The course includes the following lessons:

1. Course Setup
2. Introduction to Generative AI and LLMs
3. Exploring and comparing different LLMs
4. Using Generative AI Responsibly
5. Understanding Prompt Engineering Fundamentals
6. Creating Advanced Prompts
7. Building Text Generation Applications
8. Building Chat Applications
9. Building Search Apps Vector Databases
10. Building Image Generation Applications
11. Building Low Code AI Applications
12. Integrating External Applications with Function Calling
13. Designing UX for AI Applications
14. Securing Your Generative AI Applications
15. The Generative AI Application Lifecycle
16. Retrieval Augmented Generation (RAG) and Vector Databases
17. Open Source Models and Hugging Face
18. AI Agents
19. Fine-Tuning LLMs

One of the key features of this course is its emphasis on responsible AI development. In today’s world, it’s not enough to simply build AI applications; we must do so ethically and responsibly. The course dedicates an entire lesson to this crucial topic, equipping you with the knowledge and best practices to create AI solutions that are not only innovative but also trustworthy.