Build AI Agents with Langflow
Category: Tutorials
- views: 143
- date: 3 July 2026
- posted by: voska89
Build AI Agents with Langflow
Released 7/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 32m | Size: 76.62 MB
Learn how to build and deploy production-ready AI agents with Langflow, using memory, tools, RAG, guardrails, state management, and Docker to move from prototype to the real world.
Course details
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. Discover how to implement guardrails to secure your applications and route requests based on user inputs and sentiments. Engage with tools and techniques to connect your agents with external systems, like Linear via MCP servers, expanding their functionality. Benefit from practical, hands-on guidance that takes you from prototype creation to a full-scale AI solution. By the end of the course, you'll be equipped to design, build, and deploy robust AI agents tailored to various needs and environments.
Skills covered
Retrieval-Augmented Generation (RAG), Kubernetes, Artificial Intelligence (AI), AEC, Docker, Agentic AI Development
Homepage
https://www.linkedin.com/learning/build-ai-agents-with-langflowDOWNLOAD LINK
No Password - Links are Interchangeable
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||