Short Courses — DeepLearning.AI

DeepLearning.AI's short course catalogue covers practical AI development topics in one-to-two-hour modules: prompt engineering, LangChain, building with LLM APIs, AI agents, RAG systems, and more. The courses are taught by practitioners including Andrew Ng and leading researchers from Anthropic, OpenAI, and Google. They are free to audit. AICI recommends them for technical practitioners who need to understand how AI systems are built from the inside — which is prerequisite to governing them from the outside. Understanding what a vector database is, or how RAG introduces failure modes, or what function calling means for AI agency, is increasingly necessary for serious AI governance work.

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