This comprehensive Microsoft Generative AI for Beginners course provides a complete introduction to modern AI application development using Large Language Models (LLMs). The course is structured into 18 practical lessons designed for beginners, developers, and AI enthusiasts who want to build real-world generative AI applications.

The course begins with the fundamentals of generative AI and LLMs, explaining how modern AI systems generate text, images, and intelligent responses. Learners then explore and compare different LLMs to understand their strengths, limitations, and practical use cases.

A major focus is placed on responsible AI usage, ensuring learners understand ethical considerations, safety, and secure AI deployment practices. The course also introduces prompt engineering fundamentals and advanced prompting techniques to improve AI interactions and outputs.

Practical application development is a key part of the course. You will learn how to build text generation systems, AI chat applications, search systems using vector databases, and image generation applications. The course also explores low-code AI development for faster application building.

Advanced lessons cover function calling, AI application UX design, security for AI systems, and the complete lifecycle of generative AI applications. You will also learn Retrieval-Augmented Generation (RAG), vector databases, open-source AI models with Hugging Face, AI agents, and fine-tuning techniques for LLM customization.

By the end of this course, learners will understand both the technical and practical aspects of modern generative AI systems and will be able to build scalable AI-powered applications using industry-standard tools and frameworks.