AI Bootcamp
A self-paced bootcamp of tutorials and hands-on notebooks covering machine learning foundations, Ollama, large language models, retrieval-augmented generation, LangChain, LangGraph, fine-tuning, DSPy and AI agents built with CrewAI.
AI Bootcamp is a self-paced curriculum of lessons, each with a written tutorial and an accompanying video, aimed at developers building real-world generative AI applications. Its AI and machine learning foundations section covers Python essentials, the mathematics behind AI, linear models, and PyTorch fundamentals including tensors, autograd, data loading and full training loops.
A further section covers MLOps and production systems: data exploration, data validation, and shipping models from a pipeline to a live API rather than stopping at a notebook. Other lessons referenced from its table of contents cover retrieval-augmented generation, LangChain and LangGraph, fine-tuning, DSPy, and building AI agents with CrewAI, using models such as ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama and Gemini.
Each lesson links to its own tutorial article and video.