AI-210
MCP and Building Effective Agents
Advance Agentic AI concepts building on AI-201, with focus on Model Context Protocol (MCP), Agentic Memory, and Agentic RAG. Study established agentic design patterns for building effective agents.
Available Sections:
Details
MCP and Building Effective Agents Building upon the foundation established in AI-201, this course introduces advanced Agentic AI concepts with particular focus on Model Context Protocol (MCP), Agentic Memory, and Agentic RAG. Students will study established agentic design patterns for building effective agents.
Key Learning Modules
Module 1Advanced Agentic AI Concepts
Build upon AI-201 foundations to introduce advanced concepts in Agentic AI development.
Module 2Model Context Protocol (MCP)
Focus on Model Context Protocol (MCP) for structured and effective AI agent interactions.
Module 3Agentic Memory
Explore Agentic Memory techniques to enable persistent and context-aware agent operations.
Module 4Agentic RAG
Implement Agentic Retrieval-Augmented Generation (RAG) to improve agent responses with external knowledge.
Module 5Established Agentic Design Patterns
Study established design patterns for robust and effective Agentic AI systems.
Module 6Building Effective Agents
Apply advanced concepts, MCP, memory, RAG, and design patterns to build effective agents.
Course Outcomes
Build upon foundations from AI-201 to explore advanced Agentic AI concepts.
Focus on Model Context Protocol (MCP) for effective agent interactions.
Implement Agentic Memory techniques in AI agent development.
Apply Agentic RAG to enhance agent capabilities with retrieval augmentation.
Study established agentic design patterns.
Build effective agents through practical application of advanced concepts.
Prerequisites
Note: These prerequisites provide essential knowledge for success in this course. If you haven't completed these courses, consider taking them first or reviewing the relevant materials.