Learn Agentic AI

This repo is part of the Panaversity Certified Agentic & Robotic AI Engineer program. It covers AI-201 and AI-202 courses.

Watch The NVIDIA CEO Jensen Huang Keynote at CES 2025

Reference:

https://www.linkedin.com/posts/alexwang2911_aiagents-robotics-technology-activity-7282829390445453314-QLeS

Our Teaching Approach

We will be following this approach to teach Agentic AI Engineering:

https://docs.google.com/document/d/1vgdGpda2YknjPRKnRi9qHgDbGX_kWSjct_V6Up3ed80/edit?usp=sharing

AI-201: Fundamentals of Agentic AI - From Foundations to Autonomous Agents

AI 201 Fundamentals of Agentic AI we cover chapters: 00-06

Kickstart your journey into Agentic AI! This course provides a rapid yet comprehensive introduction to Conversational, Generative, and Agentic AI. You'll master the foundational concepts using OpenAI Agents SDK, then immediately build practical Conversational AI applications to understand human-AI interaction firsthand. The focus quickly shifts to Agentic Design Patterns, which you'll implement using OpenAI Agents SDK to create truly autonomous AI agents. You'll become proficient with OpenAI Agents SDK, developing agents ready for real-world tasks. Furthermore, you'll gain the unique skills to construct Model Context Protocol (MCP) servers and agents, enabling you to build next-generation augmented LLMs. Finally, we'll explore the groundbreaking potential of Agentic Payments, envisioning the future of AI in finance.

AI-201 Video Playlist

Note: These videos are for additional learning, and do not cover all the material taught in the onsite classes.

AI-202: Advanced Agentic AI Engineering - Master Enterprise-Scale AI Agent Development

AI 202 Advanced Agentic AI we cover chapters: 06, 7a, 8, 8a, 9, 9a, 10, 10a, 11, and 12

Ready to engineer truly sophisticated AI agent systems? AI-202 builds upon your AI-201 foundation to propel you into advanced Agentic AI engineering. You'll master powerful frameworks like Microsoft AutoGen to construct complex agents for intricate tasks and advanced decision-making. Focusing on Agent-to-Agent communication and orchestration, you'll develop enterprise-ready multi-agent solutions. You'll build robust Model Context Protocol (MCP) servers, and then craft dynamic, user-centric agentic frontends with Next.js and TypeScript. The course culminates in a professional project where you'll design and deploy a complete enterprise-grade agentic solution, showcasing your mastery of cutting-edge AI technologies and your readiness for the forefront of the field.