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Build a multi-agent system that converts natural language to SQL with guardrails and visualizations.
What you'll build
Who it's for
who want to build practical multi-agent systems beyond chatbots
tired of writing ad-hoc SQL for every stakeholder question
who want to add AI-powered data exploration to their products
FAQ
No. The workshop teaches LangGraph from the ground up. You should be comfortable with Python and basic LLM concepts.
PostgreSQL via Docker. The workshop includes a sample dataset so you do not need your own data to follow along.
Yes. The architecture is designed to be database-agnostic. Swap the connection string and schema, and the agent adapts.
This is an advanced workshop. You should have completed the RAG Fundamentals and Building AI Agents courses first, or have equivalent experience.
Save your seat
3 hours. Your code. Live feedback from Param.
Can't make it live? Registration includes lifetime access to the self-paced course.
Prefer to learn anytime? Take the self-paced course instead.