Build AI Agents & Automation Projects with LangGraph

About this course

AI is evolving rapidly.

But the future of AI is no longer just chatbots.

The real future is AI Agents — intelligent systems that can think, make decisions, use tools, automate tasks, collaborate with other agents, and even remember information.

And in this course, you will learn how to build them yourself.

This is a hands-on, project-based course designed to help you move beyond simply using AI tools and start building real AI systems from scratch using LangGraph, Python, Streamlit, and modern AI workflows.

Whether you are a beginner, developer, student, freelancer, creator, or someone curious about the future of AI, this course is designed to give you practical skills through real-world implementation.

Unlike many AI courses that focus heavily on theory, this course focuses on practical learning and real project development.

You will build complete AI systems step-by-step.

What You Will Build in This CourseProject 1 — AI Research Agent

You will build a complete AI Research Agent that can:

• Generate smart AI-powered search queries
• Search real-time internet data
• Analyze and summarize information intelligently
• Create structured research reports
• Export reports as professional PDFsRemember previous conversations using AI memory
• This project will help you understand how modern AI workflows actually work behind the scenes.

Project 2 — Multi-Agent AI Automation System

You will then build an advanced Multi-Agent AI System using LangGraph.

Instead of a single AI agent, you will create multiple intelligent agents that collaborate together like a real AI team.

You will build:

• Planner AgentTool Selection AgentExecutor AgentAnd connect them together into a complete AI workflow.
• You wil

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