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AI-210

MCP and Building Effective Agents

Section Classes Schedule:
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Price:PKR 7,500

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.

Mode

Live Online Classes

Prerequisites:
AI-201
Beta 1 — available on Claude

Zia Tutor AI

Zia Tutor AI is a personal learning agent built as a digital twin of Zia Khan. It teaches the Agent Factory curriculum, remembers where you stopped, continues across sessions and weeks, teaches in the sequence appropriate for you, and checks whether you understood the previous concept before moving on.

Its mission is to help you gain the expertise to build AI Workers and Digital FTEs, and to become a Forward Deployed Engineer.

Learn More

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.

What You'll Learn

Module 1
Advanced Agentic AI Concepts

Build upon AI-201 foundations to introduce advanced concepts in Agentic AI development.

Module 2
Model Context Protocol (MCP)

Focus on Model Context Protocol (MCP) for structured and effective AI agent interactions.

Module 3
Agentic Memory

Explore Agentic Memory techniques to enable persistent and context-aware agent operations.

Module 4
Agentic RAG

Implement Agentic Retrieval-Augmented Generation (RAG) to improve agent responses with external knowledge.

Module 5
Established Agentic Design Patterns

Study established design patterns for robust and effective Agentic AI systems.

Module 6
Building 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.