Agentic AI Architectures with Patterns, Frameworks and MCP

About this course

Are you ready to make the transition from a traditional developer to an Agentic Architect?

We are moving from the era of simple Generative AI—where we passively ask models to write text—to the era of Agentic AI, where we design autonomous systems that can perceive, reason, act, and solve complex problems on their own.

Building a demo agent is easy. Building a scalable, secure, Enterprise-Grade System of Agents is hard.

This course is the comprehensive design guide for software architects and senior engineers who want to master of building real-world Agentic Architecture. This course goes beyond basic scripting; we focus on the patterns, protocols, and lifecycles required to integrate intelligent agents into massive enterprise ecosystems.

What You Will Learn

Master Agentic Foundations: Distinguish between simple AI Agents and true Agentic AI, and master the "Agentic Loop" (Perception, Reasoning, Action, Learning).

Architect Multi-Agent Systems: Learn how to orchestrate teams of agents to solve complex goals using collaboration patterns.

Implement Agentic Design Patterns: Master reusable blueprints like ReAct, Reflection (Metacognition), and Planning to solve recurring architectural problems.

Enterprise Integration with MCP: Dive deep into the Model Context Protocol (MCP) to build servers that expose your existing microservices as tools to any agent.

Build Agentic RAG: Evolve traditional RAG into active research agents that can reason over your enterprise data.

The Agent Development Lifecycle (ADLC): Manage the full lifecycle of an agent including security, governance, evaluation, and operations.

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