Vanderbilt University · on Coursera

AI Agents with Model Context Protocol

4.8on Coursera·6K enrolled
Beginner 31 hours English Specialization
Our recommendation
A friendly, well-rated on-ramp to building AI agents with the Model Context Protocol (MCP), from Vanderbilt's Jules White. Three courses pair MCP agents in TypeScript with a popular prompt-engineering course and a Claude Code course, focused on patterns that make agents reliable. Beginner-level, but genuinely current on MCP.

Good for: Beginners who want to build their first AI agents and understand the Model Context Protocol.

Less suitable if: You need production-grade depth or you already build agents professionally.

Skills you'll gain

Model Context ProtocolAI agentsPrompt engineeringTool callingTypeScriptToken optimisationPrompt patterns

Is this course right for you?

A good fit if you…

You're new to agents and want a guided start
You're curious about MCP specifically
You like pattern-based, practical teaching

Consider something else if you…

You want production-grade agent engineering
You already build agents professionally
You prefer a Python-first path

Requirements: No prior AI experienceBasic programming helps for the TypeScript work

Realistic time: ~31 hours across three courses, self-paced

About this course

AI Agents with Model Context Protocol is a three-course specialization that takes beginners from prompting to building real agents. It pairs a focused course on MCP agents in TypeScript with Jules White's well-known prompt-engineering course and a Claude Code course, emphasising the patterns that make agents reliable and more autonomous.

What you'll learn

Build AI agents using the Model Context Protocol (MCP)
Apply prompt patterns for more reliable agent behaviour
Use tool calling and orchestration in agentic systems
Optimise tokens and manage cost in agent workflows
Understand agent reliability, autonomy and security basics

This course includes

31h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language

What it costs

Audit the courses free on Coursera; the specialization certificate needs a paid Coursera subscription (around $49/month or Coursera Plus).

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Is the certificate recognised?

Issued by Vanderbilt University and hosted on Coursera. A credible learning signal from a well-followed instructor; your built projects still matter most for jobs.

Instructor

JW
Jules White
Coursera instructor

Dr. Jules White is a computer-science professor at Vanderbilt University and one of Coursera's most-followed instructors on prompting and AI agents, known for making pattern-based, practical courses that beginners can follow.

About this provider

CO
Coursera
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Frequently asked questions

Coursera labels it beginner, but be realistic: it's taught in TypeScript and assumes you're comfortable programming, and some reviewers note it can overwhelm true beginners. If you've coded a little it's a great on-ramp to agents; if you've never programmed, expect a steeper climb.
TypeScript — not Python. You build MCP tool servers and agents in TypeScript, so some JavaScript/TypeScript comfort helps even though prior AI experience isn't required.
How to build production-minded agents with the Model Context Protocol: designing tool servers that connect agents to real systems, the universal agent loop, and reliability patterns like Response-as-Instruction, Failing Forward and Intelligence Budget.
Partly — the specialization pairs a new MCP-agents course with his very popular Prompt Engineering for ChatGPT course and a Claude Code course. That's why its aggregate rating draws on thousands of reviews from those established courses; the MCP material itself is the new, current piece.
You can audit the three courses free on Coursera; the specialization certificate needs a subscription.
Paid
Free to audit · paid certificate
Enroll now