Agentic AI Architectures with Patterns, Frameworks and MCP — 90% Off Coupon

Design and Integrate Multi-Agent systems into Enterprise Apps using AI Agents, Agentic Workflows, Design Patterns & MCP

⭐ 4.6 out of 5 Rating (3,547 students) Created by Mehmet Ozkaya Updated: April 15, 2026 🌐 English

Key Takeaways

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Course Title: Agentic AI Architectures with Patterns, Frameworks and MCP

Provider: Udemy (Listed via CoursesWyn)

Instructor: Mehmet Ozkaya

Coupon Verified On: April 15, 2026

Difficulty Level: All Levels

Category: Development

Subcategory: AI Agents & Agentic AI

Duration: 6h 30m of on-demand video

Language: English

Access: Lifetime access to all course lectures and updates

Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements

Top Learning Outcomes: What are AI Agents ? · What are the Components of AI agents? How to Build an AI Agent ? · What is Agentic AI ? Multi-Agent Architectures

Prerequisites: Basics of Software Architecture · Basics of Generative AI

Price: $9.99 with coupon / Regular Udemy price: $99.99. Applying this coupon saves you $90.00 (90% OFF).

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What You'll Learn

The following technical skills represent the core curriculum targets for learners enrolling in this verified program today.

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

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Requirements

Please review the following prerequisites to ensure you have the necessary tools and foundational knowledge for this training.

Basics of Software Architecture

Basics of Generative AI

About This Course

Comprehensive curriculum analysis and educational value proposition from the official provider library hubs.

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.
  • Real-World Capstone Project: Design and integrate a complete Agentic Layer on top of a real-world E-Shop Microservices architecture.

Course Roadmap

This course follows a structured four-part journey designed to take you from foundational concepts to advanced enterprise implementation:

Part 1: The Foundations of the Agent

We start by answering the fundamental question: How do you build an AI Agent? We will dissect the anatomy of an agent and distinguish between simple tools and autonomous systems. You will master the heartbeat of every agent—The Agentic Loop—tracing the journey of data through Perception, Reasoning, Action, and Learning to understand the agent's internal physiology.

Part 2: Architecture, Patterns & Frameworks

Once we understand the agent, we scale up to the system level. We will explore Agentic Architecture, specifically focusing on Multi-Agent Collaboration and Agentic Workflows. You will compare architectural styles like Orchestration vs. Choreography and survey the landscape of top frameworks (LangChain, LlamaIndex, Microsoft Agent Framework). Critically, we dedicate a massive section to Agentic Design Patterns, where you will learn to implement:

  • The Planning Pattern: Decomposing complex goals.
  • The Reflection Pattern: Enabling agents to critique and improve their own work.
  • The ReAct Compound Pattern: Combining reasoning and action loops.

Part 3: Enterprise Integration & Advanced Techniques

Here we move to the integration layer. We will tackle the biggest challenge in the industry: Agent Protocols. You will get a step-by-step guide to the Model Context Protocol (MCP), learning how to build servers that standardize how agents talk to your APIs. We will also cover Agentic RAG for advanced reasoning over data and Context Engineering to replace brittle prompt engineering with robust information architecture.

Part 4: Lifecycle & Capstone Project

Finally, we cover the Agent Development Lifecycle (ADLC), addressing hard enterprise requirements like security, governance, and evaluation. We conclude with a massive Capstone Project where you will take everything you've learned to design and integrate a multi-agent system into a real-world E-Shop Microservices backend.

Who This Course Is For:
  • Software Architects looking to integrate AI agents into existing enterprise architectures.
  • Senior Developers wanting to move beyond basic LLM prompting to build autonomous systems.
  • AI Engineers seeking to master standard protocols like MCP and advanced multi-agent patterns.
  • Technical Leads responsible for defining the strategy for their company's AI adoption.

By the end of this course, you will not just be able to write an agent script. You will be able to architect, integrate, and manage entire agentic systems for the enterprise.

Meet Your Instructor

Academic background and professional track record of the subject matter expert responsible for this curriculum.

M

Mehmet Ozkaya

Verified Architect

A global leader with specialized excellence in Development. Instructors are vetted for curriculum quality, responsiveness, and consistent student success across the Udemy platform.

4.8 / 5.0
Instructor Rating
94% +
Success Rate

Course Comparison

Market-relative value analysis comparing this verified instructor deal against professional subscription and retail averages.

Feature Benchmarks This Verified Offer Global Standard
Cost Verification FREE (100% Validated) Fixed Subscription Fee
Enrollment Type Professional Lifetime Access Limited Time Ownership
Certification Award Included with Access Code Required Add-on Fee

Expert Review

AD
Andrew Derek
Lead Course Analyst, CoursesWyn

"After auditing the curriculum depth and verifying the live access protocol, Agentic AI Architectures with Patterns, Frameworks and MCP stands as an essential career asset. For a verified cost of $0, the return-on-learning ratio far exceeds commercial alternatives."

Strategic Advantages

  • Official Certificate: Credential generated at no cost.

  • Mobile Friendly: Full access via smart TV & mobile.

  • Expert Pacing: Modular design for professional schedules.

Considerations

  • Technical Depth: Requires focused 10+ hours study.

  • Tool Prep: Certain labs require proprietary software setups.

Verification Outcome: Exceptional Academic Value

Course Rating

Collective learner data and performance analytics based on verified alumni feedback loops and technical graduation audits.

4.6
★★★★★
Verified Excellence
5 Stars
88%
4 Stars
7%
3 Stars
3%
2 Stars
1%
1 Stars
1%

Frequently Asked Questions

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Andrew Derek

Andrew Derek

Expert Reviewer

Andrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.

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