Everything you need to know about agentic AI in the real world
Created by Aishwarya Reganti & Kiriti Badam
Claim: This course was taught at MIT and Oxford
Truth: The instructors have taught professional AI programs at MIT and Oxford, but this specific course was never offered there.
Claim: This course costs USD 2500 and is now free
Truth: This is a short intro course, the heading clearly says "crash course". We would never price this at 2500, it has always been free.
Claim: This course will change your life and guarantee jobs
Truth: This course gives you a solid way to enter the topic, build confidence, and feel good about the space. It is not a magic ticket and we never promise outcomes like that.
We put a lot of care into keeping it simple, useful, and a genuinely good starter. We love that it is getting attention, but we want people to engage with it for the right reasons, not for promises we never made.
Understanding the fundamental differences between generative AI and agentic AI, core capabilities, and real-world applications.
Explore workflow agents, semi-autonomous agents, rule-based systems, and autonomous agents with decision frameworks.
Learn about AI model integration, API connections, tool ecosystems, and custom tool development.
Deep dive into Retrieval-Augmented Generation, traditional vs agentic RAG, and implementation patterns.
Understanding Model Context Protocol, AI model integration strategies, and enterprise implementation.
Agent planning strategies, reasoning model integration, and advanced reasoning capabilities.
Short-term and long-term memory systems, architecture patterns, and performance optimization.
Multi-agent architecture, hierarchical patterns, coordination strategies, and scalability considerations.
Case studies of production systems, architecture patterns, and lessons from enterprise implementations.
Latest developments, future trends, industry roadmap, and emerging technologies in agentic AI.
- Master Generative AI System Design
- Why AI Agents Aren't Enough for Real-World Applications
- Designing Agentic AI Applications for Enterprise Use Cases
- Building Agentic AI Applications in 2025
- Evaluating Agentic AI Applications: Beyond Vibe Checks
- AI Native Products: What Every PM Needs to Know and Do
- Designing Agentic AI Systems for Enterprise Use Cases - Part 1
- Designing Agentic AI Systems for Enterprise Use Cases - Part 2
- Building Agentic AI Applications: 2025 Q2 Updates - Part 1
- AI Protocols 101: What You Should Know About MCP, A2A, etc.
- Single vs Multi-Agent AI Systems
- Don't Build AI Products Like Traditional Software
Navigate to Part 1 to begin your journey into the world of agentic AI!
🎯 Start with Part 1: What Are AI Agents Anyway?
Happy Learning! 🎉