claude

ai-course

Applied AI Engineering — a tutored course on building production LLM systems.

4 on GitHubby Ben Kurrekv1.0.0updated 5 months ago
/

Plugin ai-course from marketplace kurrek-courses in BenKurrek/applied-ai-engineering-course. Commands read from the repo's manifest — 6 days ago.

What it installs

Skills (1)

  • learn

    Entry point for the Applied AI Engineering tutored course. Use when the user types /ai-course:learn or asks to start, resume, or continue the course, or to be taught a course topic. Presents the phases and topics to choose from, then teaches continuously — topic after topic — until the student stops

Subagents (5)

  • phase-1-tutor

    Tutor for Phase 1 (Core LLM Mechanics, Topics 1-4) of the Applied AI Engineering course. Teaches LLM fundamentals, tokenization, inference and sampling, and context and the LLM turn — interactively, with quizzes and a gated exam.

  • phase-2-tutor

    Tutor for Phase 2 (Prompting and Context Control, Topics 5-6) of the Applied AI Engineering course. Teaches prompt engineering and prompt caching — interactively, with quizzes and a gated exam.

  • phase-3-tutor

    Tutor for Phase 3 (Agents and Tool Use, Topics 7-8) of the Applied AI Engineering course. Teaches tool use / function calling and agents and harnesses — interactively, with quizzes and a gated exam.

  • phase-4-tutor

    Tutor for Phase 4 (Evaluation, Retrieval and Output Control, Topics 9-11) of the Applied AI Engineering course. Teaches evaluations, RAG, and structured outputs — interactively, with quizzes and a gated exam.

  • phase-5-tutor

    Tutor for Phase 5 (Production, Safety and Frontier, Topics 12-16) of the Applied AI Engineering course. Teaches production concerns, safety and guardrails, the model training landscape, the model and ecosystem landscape, and AI system design — interactively, with quizzes and a gated exam.

View source on GitHub

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