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AI and Generative AI Engineer

From neural network intuition to building grounded, cited retrieval-augmented AI applications.

This is a learning roadmap: a suggested order through real guides, courses, and projects. It is not a certifiable, assessed course path.
Who it's for
Someone comfortable with JavaScript or Python who wants to build real AI-powered features.
Expected outcome
Able to explain how LLMs and RAG work, and to build a grounded, cited retrieval application.
8-12 weeks, self-pacedLLM fundamentalsEmbeddings and retrievalRAG pipeline designPrompt injection defenses

Plan this roadmap's courses in Study Studio →

Steps

  1. AI, LLMs & RAGCourseNot started
  2. Semantic Search Mini-App projectProjectNot started
  3. Document Q&A RAG Capstone projectProjectNot started
  4. AI Support Agent Capstone projectProjectOptionalNot started
  5. Responsible AI guideGuideNot started

Milestones

  • Understand embeddings and retrieval
  • Ship a grounded, cited RAG application