Generative AIBeginner
Learn Generative AI in 23 Hours
freeCodeCamp's generative AI course covering prompt engineering, RAG, model deployment, and AI agents. Taught by Andrew Brown. Completely free on YouTube.
Free course on Microsoft Learn
Microsoft's AI Agents for Beginners is a free course on Microsoft Learn teaching how to build AI agents using Azure AI and Microsoft tools. You learn agent architectures, planning, tool use, and deployment. The course is free on GitHub and the Microsoft Learn platform. After finishing, you understand how AI agents work and can build agents using Microsoft's ecosystem. The main limitation: this course is Azure-centric. If you work with AWS or GCP, some patterns transfer but the tools differ.
Microsoft has invested $13 billion in OpenAI and is embedding AI agents across their product suite, making Azure AI skills increasingly valuable (source: Microsoft investor reports).
Microsoft's open-source 11-lesson course on building AI agents. Covers agentic design patterns, tool use, RAG, multi-agent workflows, and production deployment. Hands-on with code samples in every lesson.
Generative AIBeginner
freeCodeCamp's generative AI course covering prompt engineering, RAG, model deployment, and AI agents. Taught by Andrew Brown. Completely free on YouTube.
Generative AIIntermediate
Harvard's introduction to AI with Python. Covers search, knowledge representation, uncertainty, optimisation, machine learning, neural networks, and NLP.
Generative AIIntermediate
Learn to build and deploy with transformers and large language models in this 12-chapter course from Hugging Face. You'll start with NLP fundamentals, then move into modern LLM techniques: tokenization, fine-tuning, reasoning models, and building shareable demos. By the end, you'll know how to use pre-trained models, customize them on your own data, and integrate them into real applications. Best if you have some Python experience; the course assumes basic familiarity with machine learning. Fair warning: LLM chapters move fast, so budget time for rereading.