AI Agent Development with Multi-Agent Workflows
Build AI agents that can reason, collaborate, use tools, and execute real-world workflows.
One-time payment · Lifetime access · No recurring subscription
Learn how to build intelligent AI agents that can collaborate, delegate tasks, use external tools, retrieve information, and execute real-world workflows.
This practical, project-based course takes you from the fundamentals of AI agents and multi-agent systems to building complete AI-powered applications.
You will learn how to move beyond simply using AI and start building AI systems that can plan, reason, collaborate, and take action.
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Sample lessons
Watch a few lessons from the course before you enrol.
Section 1 — Introduction
Introduction: Why AI Agents Are The Future
Where agent-based systems go beyond single-prompt AI, and what you will be able to build by the end of the course.
Section 2 — Build an AI Interview Coach
Multi-Agent Setup
Set up your multi-agent workspace and get your first specialized agents talking to each other.
Section 3 — Advanced
Game Plan for Pro Level
The roadmap for taking your agent systems from working prototypes to production-grade workflows.
Section 2 — Build an AI Interview Coach
What We're Building: The Interview Coach
A walkthrough of the first project: an agent team that prepares you for an interview tomorrow morning.
Section 4 — Capstone Project
AI Research Agent
Build a research agent that gathers, filters and summarises information on any topic you give it.
Section 4 — Capstone Project
AI Research Tasks
Break a research goal into delegated tasks so multiple agents can work on it together.
What you'll learn
Practical, build-first skills for designing and shipping agent-based AI systems.
What you'll build
Three progressive projects that take you from a single agent to a full multi-agent application.
AI Interview Coach
Build an AI-powered interview coaching system using multiple specialized AI agents.
- Analyze a user's profile
- Research relevant information
- Generate interview questions
- Evaluate responses
- Provide personalized recommendations
Advanced AI Interview Coach
Take the initial application further by introducing more sophisticated agent collaboration, task delegation, tools, and workflows.
AI Research & Discovery System
Build a multi-agent research system capable of researching a topic, processing information, analyzing findings, and producing useful recommendations.
AI User → AI Builder
Don't just use AI. Build AI systems that can act.
Learn how specialized AI agents work together
Why AI agents?
Traditional AI applications often depend on a single model responding to a single request.
Agent-based systems can go further.
Multi-agent collaboration
Workflow orchestration
LLM reasoning
Task delegation
Course curriculum
5 sections · 29 lessons · Approximately 3 hours
Who is this for?
Developers
Developers who want to move beyond basic LLM applications and build autonomous AI workflows.
AI Engineers
Professionals who want practical experience with multi-agent architecture and AI orchestration.
Entrepreneurs
People interested in building AI-powered products, automation systems, and intelligent business workflows.
Students
Learners looking for practical AI projects they can use to develop their skills and portfolio.
AI Enthusiasts
People who understand the basics of generative AI and want to learn how to build systems that can take action.
AI Agent Development with Multi-Agent Workflows
- Full video course
- 29 practical lessons
- Approximately 3 hours of content
- Multiple hands-on projects
- Beginner-to-advanced progression
- Lifetime access
- Learn at your own pace
One-time payment · Lifetime access · No recurring subscription
Secure checkout · Instant access
Ready to build AI that can act?
Move beyond AI chatbots and learn how to build intelligent agent systems that can reason, collaborate, use tools, and execute real-world workflows.
Get lifetime access for ₹499