Nadir J.
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Online Course
MCPs for Everyone: Supercharge Your AI Tooling Skills
with
Shoumik Goswami
This course teaches you to unlock the full potential of AI by enabling MCPs to use external tools. You'll gain fundamental knowledge and practical skills in designing Model Context Protocols (MCPs) – the blueprints for AI tool interaction. By bridging the gap between AI theory and real-world application, this course will empower you to build smarter, more capable AI solutions.
125 students already have enrolled
Skill level:
Basic
Duration:
9 hours
-
Lessons (3 hours)
-
Practice exams (6 hours)
- Lessons (3 hours)
- Practice exams (6 hours)
CPE credits:
4
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
Accredited:
certificate
What You Learn
- Understand AI Agents: Grasp what AI agents are and why tools are crucial for their actions.
- Demystify MCPs: Learn MCP definitions, purpose, and key components.
- Interpret & Apply MCPs: Practice understanding existing MCPs; simulate AI tool use.
- Design Your Own MCPs: Master creating clear MCPs for new AI capabilities.
- Leverage AI Assistants: Use tools like Cursor for MCP development and validation.
- Extend AI Capabilities: Gain experience modifying and expanding existing MCPs.
- Bridge Theory to Practice: Connect MCP concepts to building reliable AI solutions.
Topics & tools
chatgptclaudemcpai agentcursorprompt engineeringtheorymcp developmentaipython
Your instructor
Product Manager | GenAI & Data Analytics Expert
Track record
Bringing real-world expertise from leading global companies
Academic background
Master's degree, Finance, Marketing, and Sales
Media and recognition
- Mentor & Advisory Board Member at Springboard
- Built SaaS edtech platform for LiveAI learners
- Published whitepaper on bias in medical research funding
- Bronze ACE Award at S&P Global for workflow innovation
Course OVERVIEW
Description
CPE Credits: 4
Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study
Delivery Method: QAS Self Study
This course is your gateway to building the next generation of intelligent AI systems through the use of Model Context Protocols (MCPs)—the frameworks that allow AI agents to connect with and use external tools effectively.
You’ll start by exploring the fundamentals of interactive AI—what AI agents are, why they need tools, and how tool orchestration transforms them from passive responders into active problem-solvers. Through real-world examples and hands-on exercises, you’ll see how MCPs act as the blueprints for tool interaction, giving AI the structure it needs to perform complex tasks with accuracy and reliability.
From there, you’ll dive into the inner workings of MCPs: what they are, the problems they solve, and how they differ from simple prompting. You’ll study real-world cases like Claude Desktop to see MCPs in action, then move into practical application by experimenting with MCP flows, guided outputs, and simulations.
As the course progresses, you’ll take your knowledge from theory to practice by designing and building your first MCP outline. You’ll learn the step-by-step process of defining clear goals, identifying key contextual inputs, and structuring AI–tool–user interactions. With guided video walkthroughs, exercises, and practice exams, you’ll gain the skills and confidence to move from beginner to practitioner.
By the end of this course, you’ll not only understand the core principles of MCPs, but also know how to apply them to create smarter, more capable AI solutions. You’ll walk away with:
- A strong foundation in the concepts of interactive AI and tool usage.
- Practical experience in using and simulating MCPs with real tools.
- The ability to design your own basic MCPs and integrate them into agent workflows.
- A clear roadmap for continuing your learning journey into more advanced MCPs and agentic AI systems.
Whether you’re a developer, analyst, product manager, or AI enthusiast, this course will equip you with the knowledge and hands-on practice needed to start shaping the future of AI—one MCP at a time.
Prerequisites
- Python (version 3.8 or later), Model Context Protocol (MCP) tools, and a code editor or IDE (e.g., VS Code or Jupyter Notebook)
- Intermediate Python skills are required.
- Intermediate API skills are required.
Advanced preparation
Curriculum
30 lessons
26 exercises
4 exams
- 2. Welcome to the World of Interactive AI32 Min
This module introduces the fundamental concepts of AI agents and the crucial role external tools play in their capabilities. You'll learn what defines an AI agent, why standalone AI models are limited, and how tool calling and orchestration enable AI to perform real-world actions. Students will gain the skill to identify AI agents, explain the necessity of tools, and articulate the symbiotic relationship between agents, MCPs, and tools.
- 3. Introducing Model Context Protocols (MCPs)37 Min
Dive into the core of Model Context Protocols (MCPs), the structured language that guides AI-tool interaction. This module defines MCPs, explains the problems they solve (like ambiguity), and breaks down their essential components, including different types of capabilities (Tools, Resources, Prompts, Sampling). Students will learn to define MCPs, identify their core elements, understand their problem-solving power, and distinguish them from simpler prompting methods.
- 4. How to Use a (Simple) Model Context Protocol23 Min
This module focuses on the practical application of simple MCPs. You'll learn to interpret an MCP's structure, identify necessary inputs, and understand how it guides an AI to formulate tool requests and interpret responses. Through hands-on simulation in Claude Desktop, students will practice applying MCPs to real-world scenarios, gaining skills in interpreting MCPs, structuring AI interactions, and simulating tool-driven responses.
- 5. Building Your First (Very Basic) MCP Outline33 Min
Become an MCP architect in this module! You'll learn the systematic principles for designing clear and effective MCPs from scratch, focusing on defining atomic goals and identifying all necessary contextual information. The module also introduces how AI-powered coding assistants like Cursor can significantly aid in MCP development. Students will acquire skills in formulating precise goals, designing MCP parameters, structuring interaction flows, and leveraging AI tools for MCP creation.
- 6. Bringing It All Together & Next Steps24 Min
This concluding module consolidates your MCP knowledge, placing it within the broader landscape of Agentic AI. You'll recap the benefits and limitations of simple MCPs and explore where they fit into more complex AI systems like function calling and toolkits. Students will gain the ability to appreciate MCPs' role in advanced AI, summarize their pros and cons, recall best practices, and identify resources for continuous learning in AI tooling.
- 7. Course exam180 Min
Free preview
1.1 Course Kick-Off: Your Journey into MCPs
6 min
1.2 Course Overview: Navigating Your Learning Path
5 min
2.1 Intro: Unlocking AI's Potential
1 min
2.2 What is an AI Agent?
7 min
2.3 Why AI Needs to Use Tools
5 min
2.4 AI Agents in Action with "Computer Commander"
6 min
94%
of AI and data science graduates
successfully change
or advance their careers.
#1 most reviewed
AI and data learning platform on Trustpilot.
9 in 10
of our graduates landed a new AI & data job
after enrollment
ACCREDITED certificates
Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global
institutions.
Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities
employers value most.
Certificates are included with the Self-Study learning plan.
How it WORKS
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