Course Overview
Modern AI applications require more than prompt. They need structured ways to interact with tools, APIs, and data sources. This practitioner-level course introduces the Model Context Protocol (MCP), enabling developers to build scalable, secure, and interoperable AI integrations across systems.
Participants will learn how MCP standardises communication between models and external capabilities, and how to design robust MCP servers that expose tools and context effectively. The course focuses on real-world integration scenarios including enterprise APIs, databases, and automation workflows.
Through mentor-led sessions and practical scenarios, learners will implement MCP servers in both Python and TypeScript, connect them to leading AI models, and apply best practices for performance, security, and maintainability. By the end, participants will be able to build production-ready AI integrations.
Hands-On Learning
Build MCP servers and integrate AI models with real tools and APIs.
Mentor-Led Sessions
Guided sessions with real-world integration scenarios and design reviews.
Career-Ready Skills
Develop scalable AI integrations using MCP architecture and tooling.
Learning Outcomes
Design MCP-based AI integration architectures
Analyse tool and context interaction flows
Implement MCP servers in Python and TypeScript
Evaluate integration performance and reliability
Communicate integration design decisions clearly
Lead AI integration projects using MCP standards
Prerequisites
Basic Python or JavaScript knowledge
Familiarity with APIs and HTTP
Understanding of AI model basics
Detailed Syllabus
Step-by-step learning journey from basics to professional practice
Topics Covered
- MCP fundamentals and setup
- Development environment preparation
- Overview of AI model integrations
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Important Information
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
Credential
Certificate of Completion
On successful completion of MCP: Model Context Protocol for AI Builders, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
MCP standardises how AI models interact with tools and data, enabling scalable and reusable integrations.
Ready to Start Your Learning Journey?
Take the next step in your professional development