Agentic AI Architectures with Patterns, Frameworks and MCP
Exploring Agentic AI and Building Real-World Systems
Created by Mehmet Ozkaya
Discover how to design and build intelligent AI agents that can solve real-world problems. Learn about the evolution of Agentic AI, explore the structure of multi-agent systems, and gain practical experience by creating your own agent-based solutions. Develop the skills needed to architect advanced AI systems for modern applications.
Packt | Mar 2026 | 401 min
What You Will Learn
You will work through practical design projects and interactive exercises that guide you from foundational concepts to advanced system architectures. Each step focuses on applying theory to hands-on building, so you gain direct experience creating and orchestrating AI agents in realistic settings.
Key Features
- Design and implement intelligent AI agents for real-world scenarios
- Master agent communication protocols and multi-agent workflows
- Build scalable Agentic AI systems using modern architectural patterns
Target Audience
Ideal for AI developers, software engineers, and technical professionals with a basic understanding of AI and Python. If you want to deepen your skills in designing, building, and deploying agent-based AI systems, this course will help you advance your expertise and tackle complex challenges.
