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Course Details
Course Details
What You'll Learn
Topic 1 AI Vibe Coding for MCP Fundamentals
- What Is AI Vibe Coding
- Setting Up Cursor, GitHub Copilot and Claude for MCP Development
- Overview of Model Context Protocol (MCP) Architecture
- Understanding MCP Tools, Resources and Prompts
- Installing and Configuring FastMCP
- Vibe Coding Your First MCP Server
Topic 2 Vibe Coding MCP Tools with FastMCP
- Designing MCP Tools for Real-World Workflows
- Vibe Coding Tool Functions from Plain-English Prompts
- Adding Resources and Prompt Templates to MCP Servers
- Handling Inputs, Outputs and Errors in MCP Tools
- Testing MCP Tools with AI Clients
- Reviewing and Debugging AI-Generated MCP Code
Topic 3 Connecting MCP Tools to AI Assistants and APIs
- Connecting MCP Servers to Claude and Other AI Assistants
- Vibe Coding API Integrations for MCP Tools
- Working with Databases and Files from MCP Tools
- Authentication and Permission Management for MCP Tools
- Iterating and Improving MCP Tools with Follow-Up Prompts
Topic 4 Deploying and Scaling MCP Tools
- Packaging and Deploying FastMCP Servers
- Local and Remote MCP Transports (stdio and HTTP)
- Security Best Practices for MCP Tools
- Performance Optimisation and Debugging
- Real-World Use Cases of MCP Tools in AI Workflow Automation
- Capstone: Vibe Code an End-to-End MCP Tool
Course Info
Prerequisite
This is a intermediate level course. The following prerequisite is assumed
- Basic HTML
- Basic CSS
- Basic Javascript
- Basic Python
Software Requirement
Please download and install the following software prior to the class
- Python 3.x https://www.python.org/downloads/
- Sublime Text 3 https://www.sublimetext.com/3
- Pycharm https://www.jetbrains.com/pycharm/download/
Job Roles
Job Roles
- AI Tools Developer
- MCP Solutions Engineer
- AI Integration Specialist
- Full Stack AI Developer
- AI Automation Engineer
- DevOps Engineer (AI Platforms)
- AI Product Developer
- Software Engineer (AI Tools)
- AI Platform Architect
- Machine Learning Engineer
- AI Workflow Automation Specialist
- Backend Developer (AI Services)
- API Developer
- AI Solutions Consultant
- Conversational AI Developer
- AI Infrastructure Engineer
- Technical Lead (AI Development)
- AI Application Developer
- Prompt Engineer
- AI Systems Integrator
Trainers
Trainers
Terence Ee is an experienced IT leader and consultant with more than 25 years of expertise in technology management, information systems, and digital transformation. He has served as Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he led major IT modernization projects. Since 2017, he has worked as an independent consultant and ACLP-certified trainer, specializing in guiding SMEs and enterprises in adopting future-ready digital platforms.
As a WSQ-accredited trainer, Terence delivers programs in digital collaboration, IT governance, and productivity tools. His facilitation emphasizes case studies, simulations, and hands-on practice, enabling learners to apply modern IT systems such as Microsoft 365 and Google Workspace to improve collaboration and business efficiency. With his leadership background and deep IT expertise, Terence prepares learners to thrive in digitally transforming environments.
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