Course Introduction:
This course, titled MCP for Beginners, is a comprehensive training program designed to introduce learners to the Model Context Protocol (MCP)—a modern framework for building secure, scalable, and efficient AI-powered applications. Throughout the course, students will learn core MCP components, server development, agent integration, best practices, and practical workflows used in real-world AI engineering. It is tailored for beginners, developers, and technical professionals who aim to build a strong foundation in AI agent development using MCP.
Course Duration and Modules:
The complete course includes 12 structured video lessons with a total duration of 1 hour, 47 minutes, and 47 seconds (1h 47m 47s). Learners are recommended to complete 2–3 videos per week, combining video study with hands-on coding practice.
Overall Duration: 4 weeks
Total Learning Hours: ~20 hours (including hands-on practice and assignments)
Weekly Commitment: 4–6 hours
Pacing: Self-paced, flexible, and suitable for independent study
Modules and Video Lessons:
Full Course (Lessons 1–11) – Overview & Foundations
Introduction to MCP
Build, Test & Deploy MCP Apps
Advanced MCP – Multi-modal AI Agents
Contributing to MCP
Lessons from MCP Early Adopters
MCP Development Best Practices
MCP in Action – Case Studies
Build AI Agents in VS Code – Hands-on Labs
Course Presenter:
This course is presented by the Microsoft Developer Team, a group of industry experts with extensive experience in AI engineering, developer tooling, modern protocols, and scalable application design. They are known for delivering clear explanations, structured tutorials, and practical demonstrations using real-world tools and workflows.
Course Certificate:
The Qalam Scholar Certificate awarded upon completion of this course holds international recognition. Each certificate contains a secure barcode that allows employers, institutions, and organizations to verify its authenticity online. This certificate enhances professional credibility and supports learners in pursuing national and international career opportunities in the field of AI development.
Learning Objectives:
By the end of this course, students will be able to:
· Explain the purpose and architecture of the Model Context Protocol (MCP).
· Build and configure basic MCP servers and tools.
· Apply security best practices for developing MCP-based applications.
· Develop, test, and deploy AI agents connected to real tools and workflows.
· Contribute effectively to MCP projects, documentation, and community standards.
· Evaluate real-world MCP case studies and implement recommended best practices.