Description
AI Agents Masterclass: MCP and ACP for Smarter Workflows. This comprehensive course provides hands-on mastery of the Model Context Protocol (MCP) and Agent Communication Protocol (ACP) protocols to enable you to build more complex and intelligent AI workflows. After the emergence of ChatGPT in 2022, the need for systems beyond a simple chatbot became apparent. MCP and ACP form the foundation of this new generation of agent-based AI. MCP is responsible for providing the necessary context and information (i.e., the “what”) to the model, while ACP enables coordination and action between multiple AI agents (i.e., the “how”). Together, these two protocols enable the creation of scalable, reliable, and adaptable systems that can collaborate to solve complex problems. In this course, you will learn both the theoretical foundations and practical skills to design and implement these architectures. The course content covers the basics, the role of these protocols in designing modern systems, and their practical applications in real-world projects. This training will be useful for developers, technical architects, product managers, and industry leaders, and its practical parts focus on implementing MCP and ACP using Python and software development kits (SDKs). By the end of the course, you will be able to design systems that are able to maintain context, coordinate between different components, and intelligently adapt to changes, and you can use this knowledge to build innovative, high-performance applications, from prototypes to enterprise solutions.
What you will learn
- Understand the basic concepts of MCP and ACP and their roles in AI systems.
- Learn how to implement MCP to manage model context in AI workflows.
- Mastering ACP to enable effective communication between AI agents.
- Building practical projects using MCP and ACP in simulated environments.
- Exploring best practices for designing scalable and secure AI communication systems.
This course is suitable for people who:
- Artificial intelligence developers and machine learning engineers.
- Data scientists interested in integrating AI systems.
- System architects who design agent-based AI solutions.
- Intermediate to advanced learners who have basic knowledge of AI, Python, and networking concepts.
AI Agents Masterclass: MCP and ACP for Smarter Workflows Course Details
- Publisher: Udemy
- Instructor: Aref Karimi
- Training level: Beginner to advanced
- Training duration: 3 hours and 1 minute
Course syllabus in 2025/8
Prerequisites for the AI Agents Masterclass: MCP and ACP for Smarter Workflows course
- Basic understanding of AI and machine learning concepts
- Familiarity with Python Programming
- Knowledge of Networking Basics (eg, APIs, sockets)
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
1.0 GB
