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Learn AI Engineering is a learning path for AI engineering that consolidates high-quality, free resources across the full stack: math, Python foundations, machine learning, deep learning, LLMs, agents, tooling, and deployment. Rather than a loose bookmark list, it organizes topics into a progression so learners can start from fundamentals and move toward practical, production-oriented skills. It mixes courses, articles, code labs, and videos, emphasizing materials that teach both concepts and hands-on implementation. The curation recognizes modern AI realities, including data pipelines, evaluation, prompt engineering, retrieval-augmented generation, and cost/performance trade-offs. It’s equally useful for refreshers—dipping into a specific module before a project—as it is for a full, self-directed curriculum. By centralizing the best references in one place, the repo reduces the overhead of finding, filtering, and sequencing resources, letting you focus on learning and building.
Features
- Topic-by-topic roadmap from math and Python to LLMs and agents
- Handpicked courses, articles, and notebooks prioritized for quality and practicality
- Emphasis on modern AI workflows including data prep, evaluation, and RAG
- Guidance suitable for both beginners and working engineers upskilling to AI
- Modular structure so you can study end-to-end or target gaps quickly
- Regularly updated curation to keep pace with a fast-moving field
Project Samples
