We have hosted the application learn ai engineering in order to run this application in our online workstations with Wine or directly.


Quick description about learn ai engineering:

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



Categories:
Large Language Models (LLM)

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