DevelopmentAI Agents & Agentic AI90%

Agentic AI: Deploy LangChain AI Agent Projects to Production

Name: Agentic AI: Deploy LangChain AI Agent Projects to Production
Price: 9.99 USD
Availability: InStock
Rating: 5 (104 reviews)

Agentic AI, Gen AI Agents, LangChain v1, Gemini 3, LLM & MCP Projects, Guardrails, FastAPI, Deploy AI App, Python AI ML

★ 5Based on 104 Udemy students

|Created by KGP Talkie | Laxmi Kant|26h 30m

What you’ll learn

Build real AI agents using LangChain and Google Gemini that can reason, use tools, and complete tasks autonomously

Design agent architectures using ReAct patterns, tool calling, and structured decision making

Implement short-term and long-term memory in AI agents using databases and embeddings for personalized experiences

Create and manage agent tools for web search, weather, finance, document analysis, and external APIs

Apply prompt engineering techniques to control agent behavior, improve output quality, and guide tool usage

Add safety layers such as guardrails, human-in-the-loop approval, and middleware controls to prevent errors and misuse

Stream real-time responses and generate structured outputs from AI agents in production-style applications

Secure AI agents with sandboxed code execution to prevent file deletion, credential leaks, and system risks

Build REST APIs for AI agents using FastAPI with validation, CORS, and production-ready patterns

Develop full-stack AI applications using Streamlit connected to LangChain agents

Deploy AI agents on AWS EC2 and configure them for real-world access and scalability

Requirements

Basic knowledge of Python, including functions, variables, and working with libraries

Familiarity with running Python code in notebooks or a code editor like VS Code

A computer with internet access to use cloud APIs and developer tools

Willingness to learn and experiment with AI and new technologies

Course details

<div>Learn how to build intelligent AI agents using LangChain and Google Gemini and deploy them in real-world applications. This <b><u>Agentic AI: Deploy LangChain AI Agent Projects to Production course</u></b> 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.</div><div><br></div><div>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.</div><div><br></div><div>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.</div><div><br></div><div>What you will learn</div><div><ul><li><span style="font-size: 1rem;">Build AI agents using LangChain and Google Gemini</span></li><li><span style="font-size: 1rem;">Understand how AI agents differ from large language models</span></li><li><span style="font-size: 1rem;">Apply ReAct reasoning patterns for agent decision making</span></li><li><span style="font-size: 1rem;">Configure and use tools and function calling in agents</span></li><li><span style="font-size: 1rem;">Implement short-term and long-term memory for agents</span></li><li><span style="font-size: 1rem;">Use embeddings and databases for memory storage</span></li><li><span style="font-size: 1rem;">Apply prompt engineering techniques for agent control</span></li><li><span style="font-size: 1rem;">Stream real-time responses from AI agents</span></li><li><span style="font-size: 1rem;">Add middleware for safety and control</span></li><li><span style="font-size: 1rem;">Implement guardrails and human-in-the-loop systems</span></li><li><span style="font-size: 1rem;">Secure agents using sandboxed code execution</span></li><li><span style="font-size: 1rem;">Build REST APIs for AI agents using FastAPI</span></li><li><span style="font-size: 1rem;">Create user interfaces with Streamlit</span></li><li><span style="font-size: 1rem;">Deploy AI agents on AWS EC2</span></li><li><span style="font-size: 1rem;">Connect agents to external services using MCP</span></li><li><span style="font-size: 1rem;">Build end-to-end full-stack AI applications</span></li></ul></div>

Author and Instructor

KGP Talkie | Laxmi Kant

Provider: Udemy

With years of hands-on experience in Development, KGP Talkie | Laxmi Kant has dedicated thousands of hours to teaching and mentorship. This course is the culmination of industry best practices and a proven curriculum that has helped thousands of students transition into professional roles.

Platform snapshot

Ratings and enrollment counts shown on this page are aggregate figures from Udemy. We do not publish first-party user reviews here.

Average rating

★ 5

Based on

104

Udemy students

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