AI-201
Fundamentals of Agentic AI
Delve into Agentic AI, focusing on autonomous intelligent systems. Build a strong foundation in Conversational and Generative AI, progressing to hands-on development using the OpenAI Agents SDK. Explore AgentOps, deployment strategies, and observability to prepare for real-world AI applications.
Available Sections:
Details
This foundational course provides an intensive introduction to Agentic AI, a cutting-edge field focused on building autonomous, intelligent systems with memories, Agentic RAG (Retrieval Augmented Generation) and standards based MCP (Model Context Protocol) tool calling. Students will first establish a strong understanding of the essential building blocks: Conversational and Generative AI. We will then rapidly progress into the exciting realm of prototyping Agentic AI systems using OpenAI Responses API and OpenAI Agents SDK, emphasizing practical application and hands-on skill development, including crucial aspects of Short and Long-Term Memories, Standardized Tools Calling (MCP), Agentic RAG, AgentOps, Deployment, and Observability.
What you will learn in this course
Articulate the foundational principles of Conversational, Generative, and Agentic AI.
Design, develop, and deploy prototype Conversational AI systems.
Implement Agentic Design Patterns using the OpenAI Agents SDK framework.
Build autonomous AI Agents capable of performing complex tasks.
Store short and long-term memories in LangMem, Zep, and Vector Databases.
Deep understanding and implementation of Agentic RAG.
Construct and utilize MCP Servers and Agentic Clients to augment Large Language Models.
Understand the concepts of AgentOps in prototypical deployments.
Understand the concepts and potential applications of Agentic Payments.
Prerequisites
- AI-101 - Modern AI Python Programming