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Module 3: Orchestration — LLM Zoomcamp

Lessons, materials, and key concepts for module 3 of LLM Zoomcamp.

LLM Zoomcamp > Module 3: Orchestration

Module 3: AI Orchestration with Kestra

In this module, we learn how to orchestrate AI workflows using Kestra, an open-source orchestration platform. We start from the context problem that makes generic AI assistants unreliable, and end with autonomous multi-agent systems that can research, reason, and act without a fixed predetermined sequence of steps.

This module is created and taught by Will Russell from Kestra. Big thanks to Will and the Kestra team for making it possible.

Flows: flows/

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Lessons

Key concepts

• OpenAI API
• RAG
• Context Engineering
• Workflow Orchestration
• Deployment Automation
• Kestra
• Prompt Engineering
• BigQuery
• Docker
• PostgreSQL
• Agent Skills and Subagents
• Vector Search
• Embeddings
• Agentic RAG
• MCP
• Model Monitoring
• Model Deployment

Homework and deadlines live in the course repository: llm-zoomcamp.

Other modules in this course

• Module 1: Agentic RAG
• Module 2: Vector Search
• Module 4: Evaluation
• Module 5: Monitoring
• Module 6: Best Practices
• Module 7: End-to-End Project