workshops

One repository for some of the workshops I'm giving

Workshops

mlzoomcamp-deep-learning - Deep Learning with PyTorch workshop covering image classification, transfer learning, and model deployment. Learn to build CNNs using PyTorch instead of TensorFlow/Keras.
mlzoomcamp-fastapi-uv - Deploying ML models with FastAPI and uv. Modern approach to ML deployment using Scikit-Learn pipelines, FastAPI instead of Flask, and uv for dependency management.
mlzoomcamp-serverless - Machine Learning and Deep Learning model deployment with Serverless. Deploy Scikit-Learn and deep learning models using AWS Lambda, Docker, and ONNX.
mlzoomcamp-k8s - Model deployment with Kubernetes and ONNX. Deploy ML models using Kubernetes with Kind, including autoscaling with HPA and health checks.

agents-mcp - Agents and MCP (Model Context Protocol) workshop. Deep dive into function calling, OpenAI Agents SDK, PydanticAI, and building MCP servers for agents.
coding-agent - Create a coding agent that generates Django applications from a single prompt. Build an agent with file operations, bash commands, and AI-powered code generation.
agent-skills - Coding agent with skills and commands. Extend your coding agent with modular capabilities and user-facing shortcuts inspired by Claude Code.
coding-agent-v2 - Updated coding-agent workshop with skills capabilities. Reuse the same agent, tools, and stack, then add skills, commands, and a PydanticAI version.
agentic-rag - From RAG to Agents: Implementing Agentic Search. Build a classic RAG over real documentation, then evolve it into agentic search with two tools (search for snippets, get_file for full documents). Uses toyaikit and ends with a migration to PydanticAI.
rag-evaluations - RAG evaluations workshop covering how to evaluate RAG systems and Agentic RAG implementations with metrics like Hit Rate and MRR.
guardrails - Guardrails for AI agents. Learn to make AI agents safer with input and output guardrails to prevent harmful behavior and keep agents on-topic.
agent-fastapi-vectordb - Deploy your AI agent project to production with FastAPI and a vector database (Qdrant). Turn a RAG prototype into a deployable FastAPI service with ingestion, search, and grounded answer endpoints.

vibe-coding - Introduction to Vibe Coding with AI-assisted development tools including chat applications, coding assistants, IDEs, project bootstrappers, and agents.
dezoomcamp-docker - Docker and PostgreSQL data engineering workshop. Learn Docker fundamentals, containerization, data ingestion, and Docker Compose for data engineering workflows.
temporal.io - Workshop materials for Temporal.io workflows and distributed systems.