AI-Bootcamp
View on GitHubSelf-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)
Curated Jupyter notebook bootcamp covering the full LLM engineering stack: ML/LLM foundations, Ollama local models, RAG, LangChain/LangGraph agents, CrewAI, DSPy, fine-tuning and quantization. Best as a hands-on learning path rather than a runnable tool.
Use Cases
Learn LLM and generative AI fundamentalsBuild RAG pipelines over documentsFine-tune open LLMs with QLoRABuild AI agents with CrewAI, LangGraph and Pydantic AIRun local models with OllamaEvaluate and test LLM outputsAutomated prompt engineering with DSPyLLM function calling and structured outputBuild MCP servers and clientsQuantize models for llama.cppMultimodal embeddings for RAGOCR and financial data extraction with LLMsDeploy and serve LLMsTeach AI engineering curriculum self-paced
Built With
- Language
- Jupyter Notebook
- Frameworks
- LangChain · LangGraph · CrewAI · DSPy · Pydantic AI · Ollama · LiteLLM · PyTorch · Hugging Face Transformers · torchtune · llama.cpp · Streamlit · NumPy · Pandas
Tags
bootcamp · tutorials · jupyter-notebooks · llm · rag · ai-agents · langchain · langgraph · ollama · fine-tuning · prompt-engineering · llm-evaluation · dspy · crewai · local-llm · education