AI-Bootcamp

Stop piecing together your AI engineering curriculum from random tutorials. AI Bootcamp is a self-paced Generative AI learning repository for engineers who want an organized path from ML foundations to LLM applications. It helps you build a more deliberate learning path by grouping tutorials and videos into foundations, production systems, AI systems engineering, RAG/context engineering, and agents/workflows. Key features: • ML foundations – lessons cover Python, math, linear models, and PyTorch fundamentals • MLOps track – guides cover data exploration, validation and pipelines, experiment tracking, APIs, and cloud deployment • Local AI starting point – an Ollama quickstart walks through running models locally • RAG and context modules – covers document processing, chunking, embeddings, retrieval, and RAG pipelines • Agent workflow lessons – includes LangGraph, MCP, local-model agent workflows, and agentic RAG examples It’s open-source (MIT license). 🔗 GitHub: curiousily/AI-Bootcamp ⸻ ♻️ Share this with your network if you found it useful or insightful. ✉️ If you’re into AI, ML, agents, and building real systems, join my newsletter (it’s free): dankornas.substack.com