Master AI Agents, RAG : Build Production-Ready Applications

Build AI Agents using LangChain, RAG, Vector Databases & Multi-Agent Systems for Real-World Software Workflows

What you’ll learn
✓ Understand how AI agents work, including agent architecture, reasoning patterns, tool usage, and multi-agent collaboration.
✓ Design and build AI agents using LangChain, RAG pipelines, vector databases, and real-world data sources.
✓ Learn best practices for deciding when and where to use AI agents in modern software development workflows.
✓ Build and deploy production-ready AI agent applications with security, scalability, and real-world use cases.

Requirements
● Basic programming knowledge and familiarity with software development concepts are recommended; prior experience with LLMs is helpful but not mandatory.

Description
Artificial Intelligence Agents are transforming how modern software is built, automated, and scaled. In this course, you will learn how to design, build, and deploy production-ready AI agent applications using industry-standard tools and frameworks.

This hands-on course explains how AI agents work, how they reason, interact with tools, and collaborate with other agents to solve complex real-world problems. You will learn how to integrate AI agents into modern software development workflows using LangChain, Retrieval-Augmented Generation (RAG), vector databases, and multi-agent architectures.

What you’ll build and learn

• AI agents using LangChain and modern LLM workflows
• Retrieval-Augmented Generation (RAG) pipelines with vector databases
• Multi-agent systems for complex problem solving
• Real-world AI projects such as medical report generators, sales automation agents, and AI career assistants
• Best practices for deciding when and where to use AI agents in production systems

The course focuses not only on building AI agents, but also on understanding when they are the right solution compared to traditional software approaches. You will learn how to design scalable AI architectures, manage data quality, mitigate risks, and implement guardrails for safe and reliable AI agent behavior.

By the end of this course, you will have the skills to design, develop, and deploy intelligent AI agents that integrate seamlessly into real applications and production environments.

This course is designed for software developers, AI engineers, and technical professionals who want practical, real-world experience building AI-powered systems.

Who this course is for
■ Software developers, AI engineers, and technical professionals who want to design, build, and integrate AI agents into real-world applications.