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REST API with Flask

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Intermediate
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Build MCP Tools with FastMCP and Vibe Coding

Course Code: C1231
AI Vibe Coding Series

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What's This Course About

Master the art of building powerful MCP (Model Context Protocol) tools using FastMCP and Vibe Coding in this comprehensive hands-on course. Learn how to design, develop, and deploy intelligent tools that seamlessly connect AI assistants to real-world applications and workflows. From understanding MCP architecture to creating structured APIs and tool functions, this course equips you with the skills to build production-ready MCP servers that enhance AI capabilities across platforms and industries.

Take your AI development expertise to the next level by leveraging Vibe Coding for rapid, AI-assisted tool creation. Discover how to iterate and refine MCP tools using structured prompts, integrate them with leading AI platforms, and manage security, performance, and scalability. Whether you are automating business processes or extending AI assistant functionality, this course provides the practical knowledge and real-world use cases you need to deliver robust, reliable MCP tool solutions.

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ Web API integration with Python Flask

Course Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

* Required Fields

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1: Getting Started with MCP and FastMCP

  • Overview of Model Context Protocol (MCP) architecture
  • Understanding MCP tools, resources, and prompts
  • Installing and configuring FastMCP
  • Setting up the development environment for MCP servers
  • Creating a basic MCP tool using FastMCP
  • Testing MCP tools with AI clients

Topic 2: Developing MCP Tools with Vibe Coding

  • Introduction to Vibe Coding for rapid AI-assisted development
  • Designing MCP tools for real-world workflows
  • Building MCP tools with FastMCP using structured prompts
  • Creating APIs and tool functions for MCP servers
  • Connecting MCP tools to AI assistants and applications
  • Iterating and improving MCP tools using Vibe Coding

Topic 3: Deploying and Integrating MCP Tools

  • Packaging and deploying FastMCP servers
  • Integrating MCP tools with AI platforms and applications
  • Security and permission management for MCP tools
  • Performance optimization and debugging
  • Managing tool scalability and reliability
  • Real-world use cases of MCP tools in automation and AI workflows

Course Info

Prerequisite

This is a intermediate level course. The following prerequisite is assumed

Software Requirement

Please download and install the following software prior to the class

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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