Udemy – Agentic AI: Deploy LangChain AI Agent Projects to Production

Learn how to build intelligent AI agents using LangChain and Google Gemini and deploy them in real-world applications. This course is designed to take you from the fundamentals of AI agents to advanced, production-ready systems through hands-on projects and clear step-by-step guidance.

AI agents are the next step beyond chatbots. They can reason, use tools, access APIs, remember users, and automate tasks. This course focuses on teaching you how to build such systems in a practical and structured way.

You will learn both theory and implementation, and you will build multiple real-world projects that demonstrate how AI agents are used in modern applications.

What you will learn:

• Build AI agents using LangChain and Google Gemini
• Understand how AI agents differ from large language models
• Apply ReAct reasoning patterns for agent decision making
• Configure and use tools and function calling in agents
• Implement short-term and long-term memory for agents
• Use embeddings and databases for memory storage
• Apply prompt engineering techniques for agent control
• Stream real-time responses from AI agents
• Add middleware for safety and control
• Implement guardrails and human-in-the-loop systems
• Secure agents using sandboxed code execution
• Build REST APIs for AI agents using FastAPI
• Create user interfaces with Streamlit
• Deploy AI agents on AWS EC2
• Connect agents to external services using MCP
• Build end-to-end full-stack AI applications