Agentic AI Architectures with Patterns, Frameworks and MCP

Source: https://www.udemy.com/course/agentic-ai-architectures-with-patterns-frameworks-and-mcp/

What you’ll learn

  • What are AI Agents ?
  • What are the Components of AI agents? How to Build an AI Agent ?
  • What is Agentic AI ? Multi-Agent Architectures
  • What are Agentic Workflows ?
  • AI Agent Frameworks – Exploring AI Agentic Frameworks
  • Understanding AI Agentic Design Patterns
  • What is Agentic RAG ? – Advanced Reasoning: Agentic RAG
  • Agent Communications and Protocols – Using Agentic Protocols (MCP, A2A and ACP)
  • Model Context Protocol (MCP) in Action Design
  • Context Engineering for AI Agents
  • The Agent Development Lifecycle (ADLC) w/ Enterprise Agent Development
  • Building the E-Shop Agentic Layer
  • How AI Agents Uses Generative AI ?
  • When to Use AI Agents (And When Not To)
  • The Agentic Loop: Perception, Reasoning, Action, Learning (PRAL)
  • AI Agent vs. Agentic AI: The Critical Difference
  • How Agentic AI Works: System-Level Architectures (Orchestration or Choreography)
  • Agentic Orchestration Patterns (Sequential, Concurrent, Group chat, Handoff , Magentic)
  • The “Tool Use” Pattern
  • The “Planning” Pattern
  • The “Reflection” Pattern (Metacognition)
  • The “ReAct” Compound Pattern
  • The “Router & Specialist” Pattern
  • The “Handoff” Pattern (Sequential Workflow)
  • The “Group Chat / Debate” Pattern
  • The “Swarm” Pattern (Parallelization)
  • The “Human-in-the-Loop” (HITL) Pattern
  • The “Ejection / Custom Logic” Pattern
  • Agentic RAG vs. Traditional RAG: The Critical Difference
  • How Agentic RAG Works: The “Active Researcher” Loop
  • The MCP Architecture: MCP Host/Client, Server and Protocol

Requirements

  • Basics of Software Architecture
  • Basics of Generative AI

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