Do I need prior experience to enroll?

No prerequisite is required. This is a beginner friendly course.

What certification will I receive?

You will earn a certificate validating your expertise in MCP architecture, AI connectivity, interoperability, and Agentic AI systems.

How does this course help in real world scenarios?

It helps you build secure, connected, and scalable AI applications that integrate with external tools, services, and data sources using MCP.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Agentic AI with Model Context Protocol Training

Agentic AI with Model Context Protocol Training

This course is part of Mastering Agentic AI Frameworks Certification Specialization

Instructor: Priyanka Mehta

Included with Learn more

Ask Coursera

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Understand MCP architecture, connectivity, and interoperability concepts
Implement MCP servers, function calling, and session management
Enable AI applications to interact with external tools and services
Compare communication protocols and manage risks in Agentic AI systems

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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Build your subject-matter expertise

This course is part of the Mastering Agentic AI Frameworks Certification Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

This comprehensive Agentic AI with Model Context Protocol Training course builds foundational skills in AI connectivity, interoperability, and Agentic AI systems using MCP. Learn how hosts, clients, servers, and communication layers connect AI applications with external tools, data sources, and services. Explore MCP architecture, function calling, session management, Google A2A, Python SDK implementation, and risk management through practical examples. Build secure, connected, and scalable AI applications powered by Model Context Protocol.

By the end of this course, you will be able to: - Understand MCP Foundations: Explore AI connectivity and interoperability - Analyze MCP Architecture: Understand hosts, clients, and servers - Implement Function Calling: Connect AI with external tools and services - Manage MCP Sessions: Control communication lifecycles and connections - Explore Communication Protocols: Compare MCP and Google A2A - Implement MCP with Python SDKs: Build connected AI applications - Analyze MCP Risks: Understand security and operational considerations - Build Agentic AI Solutions: Create scalable AI systems Ideal for beginners, aspiring AI professionals, students, developers, and technology enthusiasts looking to build connected and scalable Agentic AI systems using Model Context Protocol.

This module introduces Model Context Protocol (MCP) and its role in enabling AI applications to securely access external tools, data, and services. Explore the challenges of traditional AI integrations, including the NxM connectivity problem, and understand how MCP simplifies communication between AI systems and external resources. Gain a strong foundation in MCP concepts, architecture, and use cases to support scalable, interoperable, and efficient Agentic AI solutions.

What's included

4 videos1 reading2 assignments

This module explores Model Context Protocol (MCP) and the architecture that enables seamless communication between AI applications, tools, and external data sources. Learn how MCP solves the NxM integration challenge, improves interoperability, and simplifies AI connectivity. Explore key MCP components, including hosts and clients, their roles, and client types, while building a foundation for scalable, efficient, and connected Agentic AI systems.

What's included

8 videos3 assignments

8 videosTotal 20 minutes

Model Context Protocol (MCP)1 minute
Analogy: MCP is Like a USB-C for AI Tools2 minutes
How MCP Solves NxM4 minutes
The Benefits: Solving the NxM Pain Points1 minute
Understanding MCP Architecture5 minutes
Hosts Role in MCP2 minutes
Client's Role in MCP1 minute
MCP Clients: Types3 minutes

3 assignmentsTotal 135 minutes

Quiz on What Is Model Context Protocol (MCP)?20 minutes
Quiz on MCP Architecture - Part 155 minutes
Assessment for MCP and Its Architecture60 minutes

This module explores MCP architecture, function calling, and session management for Agentic AI systems. Learn the role of MCP servers, server types, and communication layers that power intelligent AI assistants. Understand how MCP improves function calling for seamless interaction with external tools and services. Explore connection lifecycles and session management concepts to build scalable, reliable, and context aware AI applications.

What's included

7 videos4 assignments

7 videosTotal 26 minutes

Server’s Role and Types in MCP5 minutes
Behind the Scenes of a Smart AI Assistant2 minutes
How MCP Powers the AI Assistance: Example5 minutes
MCP Layers4 minutes
How MCP Improves Function Calling4 minutes
Connection Lifecycle1 minute
How MCP Sessions Work6 minutes

4 assignmentsTotal 145 minutes

Quiz on MCP Architecture - Part 215 minutes
Quiz on How MCP Improves Function Calling15 minutes
Quiz on MCP Sessions55 minutes
Assessment for Function Calling and Sessions60 minutes

This module explores communication protocols and risk management in MCP ecosystems. Learn how Google A2A and MCP enable communication between AI agents, applications, and external systems. Compare their architectures, explore MCP implementation using Python SDKs, and understand interoperability concepts. Analyze security, reliability, and operational risks to build secure, scalable, and resilient Agentic AI solutions.

What's included

5 videos4 assignments

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Priyanka Mehta

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92 Courses81,034 learners

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Frequently asked questions

This course introduces MCP, AI connectivity, interoperability, function calling, session management, and Agentic AI systems.

Ideal for beginners, aspiring AI professionals, students, developers, and technology enthusiasts interested in Agentic AI and MCP.

You will learn MCP architecture, AI connectivity, function calling, session management, Python SDK implementation, and communication protocols.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.