
End-to-end AI Agent Project with LangChain | Full Walkthrough
James Briggs16 June 2026Watch on YouTube
Part of series
Ep. 1 · Langchain Full Agent
View the seriesWhat you'll learn
- Learn how to build a complete AI Agent application with LangChain and Python, from setup to deployment.
- Integrate tools like SerpAPI into your agent, enabling it to perform web searches and retrieve external data.
- Implement async processing and streaming in FastAPI to deliver real-time responses from your AI Agent.
- Set up API authentication with a token generator to secure your agent application.
Frequently asked questions
What is an AI Agent in LangChain and how does it differ from a standard chatbot?
Why do you use FastAPI in this tutorial and how does streaming work with your agent?
How do you integrate SerpAPI as a tool in your agent and what can the agent do with it?
How do you secure your AI Agent API with authentication tokens?
Topics
Description from the channel
In this video, we'll develop a full AI Agent application using Python, LangChain, FastAPI, AI agents, tools, streaming, and more. 🔗 Full Course: https://www.aurelio.ai/course/langchain 📌 Code: https://github.com/aurelio-labs/langchain-course/tree/main/chapters/09-capstone 💡 Subscribe for Latest Courses and Tutorials: https://www.aurelio.ai/subscribe 👋🏼 AI Consulting: https://aurelio.ai 👾 Discord: https://discord.gg/c5QtDB9RAP Twitter: https://twitter.com/jamescalam LinkedIn: https://www.linkedin.com/in/jamescalam/ #ai #langchain #programming #aiagents 00:00 End-to-End LangChain Agent 01:39 Setup the AI App 04:37 API Setup 11:28 API Token Generator 15:57 Agent Executor in API 34:03 Async SerpAPI Tool 40:08 Running the App 11:44 Course Completion