Agentic AI Architectures with Patterns, Frameworks and MCP

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

4.6 out of 5
(2,032 students enrolled)
Instructor: Mehmet Ozkaya
Last Update:
Language: English

Key Takeaways — Course Overview

The following summarizes all verified data points for Agentic AI Architectures with Patterns, Frameworks and MCP, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CoursesWyn on .

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

Platform: Udemy (listed via CoursesWyn)

Instructor: Mehmet Ozkaya

Coupon Verified:

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: Students who complete Agentic AI Architectures with Patterns, Frameworks and MCP will be able to: 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

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

Important:

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What You'll Learn

Completing Agentic AI Architectures with Patterns, Frameworks and MCP gives you the following verified skills and competencies in Development:

  • 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

The following background knowledge and tools are recommended before starting Agentic AI Architectures with Patterns, Frameworks and MCP. Students without these prerequisites may still enroll but should expect a steeper learning curve.

  • Basics of Software Architecture
  • Basics of Generative AI

About This Udemy Course

The following is the full official course description for Agentic AI Architectures with Patterns, Frameworks and MCP as published on Udemy by instructor Mehmet Ozkaya. It covers the curriculum structure, teaching methodology, and topic scope for this Development 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.
  • 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.

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Is This Course Worth It?

Expert review by Andrew Derek, Lead Course Reviewer at CoursesWyn. Last updated: .

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Agentic AI Architectures with Patterns, Frameworks and MCP is a high-value resource for learners seeking to build skills in Development. Taught by Mehmet Ozkaya on Udemy, the 6h 30m course provides a structured progression from foundational concepts to advanced AI Agents & Agentic AI techniques — making it suitable for learners at all levels. The current coupon reduces the price by 90%, from $99.99 to $9.99, removing the primary financial barrier to enrollment.

What We Like (Pros)

The following advantages were identified during our review of Agentic AI Architectures with Patterns, Frameworks and MCP:

  • Verified 90% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

Keep in Mind (Cons)

The following limitations should be considered before enrolling in Agentic AI Architectures with Patterns, Frameworks and MCP:

  • The depth of AI Agents & Agentic AI coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.

Andrew Derek

Lead Course Reviewer, CoursesWyn

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"Given the 90% price reduction and verified 4.6-star rating, Agentic AI Architectures with Patterns, Frameworks and MCP represents one of the strongest value propositions currently available in Development on Udemy. Enrollment is strongly recommended while this coupon remains active."

Final Verdict: Worth It

Course Rating Summary

Agentic AI Architectures with Patterns, Frameworks and MCP holds an aggregate rating of 4.6 out of 5 based on 2,032 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.6

2,032 Verified Ratings

5 stars
92%
4 stars
14%
3 stars
5%
2 stars
1%
1 star
1%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: .

Instructor Profile

The following section provides background information on Mehmet Ozkaya, the instructor responsible for creating and maintaining Agentic AI Architectures with Patterns, Frameworks and MCP on Udemy.

Agentic AI Architectures with Patterns, Frameworks and MCP is taught by Mehmet Ozkaya, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

  • Instructor Name: Mehmet Ozkaya

  • Subject Area: Development

  • Teaching Approach: Practical, project-based instruction focused on real-world application of AI Agents & Agentic AI skills (as described in the course curriculum on Udemy).

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Frequently Asked Questions

The following questions and answers cover the most common queries about Agentic AI Architectures with Patterns, Frameworks and MCP, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of .

Is there a verified discount coupon for Agentic AI Architectures with Patterns, Frameworks and MCP?

Yes. A verified Udemy coupon for Agentic AI Architectures with Patterns, Frameworks and MCP is available on this page, reducing the price from $99.99 to $9.99 — a saving of $90.00 (90% OFF). The coupon was last verified on March 14, 2026.

How do I apply the Agentic AI Architectures with Patterns, Frameworks and MCP coupon code?

Click the "Redeem Coupon" button on this page. The 90% discount is automatically applied to the Udemy checkout link. No manual coupon entry is needed.

How long is the Agentic AI Architectures with Patterns, Frameworks and MCP course on Udemy?

Agentic AI Architectures with Patterns, Frameworks and MCP consists of 6h 30m of on-demand video. Udemy provides lifetime access to enrolled students, allowing you to revisit all content at any time after purchase.

What skills will I gain from Agentic AI Architectures with Patterns, Frameworks and MCP?

Agentic AI Architectures with Patterns, Frameworks and MCP, taught by Mehmet Ozkaya on Udemy, covers the following competencies: What are AI Agents ? ; What are the Components of AI agents? How to Build an AI Agent ? ; What is Agentic AI ? Multi-Agent Architectures . These skills are delivered through 6h 30m of structured AI Agents & Agentic AI content, enabling learners to apply knowledge immediately after each module.

What is the Agentic AI Architectures with Patterns, Frameworks and MCP Udemy course?

Agentic AI Architectures with Patterns, Frameworks and MCP is a 6h 30m online course on Udemy, created and taught by Mehmet Ozkaya. It covers Development topics and holds a 4.6-star rating from 2,032 enrolled students. Use the verified coupon on this page to access it at $9.99 (90% OFF the regular $99.99 price).
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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