Installation & Resources
Complete the prerequisite software setup before the workshop day so we can jump straight into building live AI agents.
Step-by-Step Terminal & Verification Guide
Use our interactive playground to copy terminal commands, inspect live code lines, and verify your Python & Ollama environment.
Before You Arrive
The workshop uses Python as the primary runtime for all agent frameworks. Download from python.org — make sure to check 'Add Python to PATH' on Windows.
Our recommended editor for the hands-on session. Install the Python and Jupyter extensions after setup.
Run open-source LLMs like Llama 3, DeepSeek, and Mistral locally on your machine with zero cloud latency.
Run this in your terminal: pip install langchain langchain-community langchain-openai chromadb ollama python-dotenv
Google Colab provides a free cloud Python environment — handy as a zero-setup fallback during the session.
Workshop Handouts
Workshop Slide Deck
Complete presentation covering LLM internals, prompt chaining, ReAct loops, and agent tool use.
Hands-on Starter Repository
Ready-to-run Jupyter notebooks, Python agent scripts, and pre-built tool integration templates.
LLM Agents Reference Sheet
Fast cheat sheet for LangChain agent APIs, prompt patterns, vector search, and troubleshooting.