Langflow sits at the intersection of LLM orchestration, agent design, RAG, and production deployment, offering a practical on‑ramp for teams moving from experimentation to real AI systems. This compact course provides the entry points engineers need to integrate their data, workflows, and checkpoints to create and deploy applications quickly.
First, learn how to build AI agents using Langflow, focusing on creating dynamic and context-aware systems. Explore Langflow capabilities for adding memory, leveraging APIs, and incorporating retrieval-augmented generation for better outputs. Learn about deploying applications using Docker and Kubernetes, ensuring your agents are production-ready and reliable.






