Google Cloud · on Google
Google Cloud's short beginner path explaining what generative AI and large language models are, how they work, and the principles of responsible AI. A fast, free badge-earning starting point for non-technical professionals before moving to Google's deeper developer paths.
Developers and technically curious learners. This is a beginner-level course in Generative AI & LLMs, running about ~2 hours (4 activities).
Free. Introductory path courses are no-cost; advanced Google Cloud labs elsewhere may require credits.
Scrimba's interactive career path for building AI-powered apps in JavaScript, covering LLM APIs, embeddings and RAG, and agents, with code you edit directly inside the screencasts. It suits web developers who want a guided, hands-on route into AI engineering at a low monthly cost rather than assembling free resources themselves.
Microsoft's 21-lesson course on building generative AI apps, with Learn and Build lessons covering prompting, RAG, embeddings, function calling, agents, fine-tuning, and security in Python and TypeScript. Great for developers who want a free, code-first path from LLM basics to deployable applications.
Cohere's free learning hub of expert-led modules and guides on how LLMs work, text embeddings, semantic search, prompt engineering, RAG, and tool use, with code labs using Cohere's API. A practical choice for developers who want enterprise-oriented LLM skills explained clearly.