Model Context Protocol (MCP) Bootcamp
Unlock the power of Model Context Protocol (MCP) to connect AI systems, external tools, and multiple servers securely. Build MCP servers, integrate additional context, manage explicit user consent, and design standardized workflows that enable scalable, compliant AI applications.
Last update: Jan 2025
Audio Language: English
Subtitles/Captions: Yes
Type of Training: Online, self-paced
Focus: AI Coding Courses, Generative AI Courses, Programming Courses
Caption Language: English
What You’ll Learn
This Model Context Protocol (MCP) Bootcamp will teach you:
- Model Context Protocol MCP: Understand the fundamentals of MCP protocol and how it enables seamless integration with AI applications.
- Context Protocol Design: Learn to integrate additional context and transmit resource data securely between components.
- External Tools and Data Sources: Connect AI systems with external data sources, manage arbitrary data access, and maintain data protections.
- Prompts Implementation Guidelines: Explore project structure, actual prompt design, and code execution paths for reliable outputs.
- MCP Servers and Clients: Deploy local MCP servers, initiate connections clients, and implement appropriate access controls.
- Secure Data Handling: Build robust consent processes, obtain explicit user consent, and address security implications.
- Custom AI Workflows: Create custom connectors and executable functions that retain control over sensitive data and reduce security risks.
- Real-World Use Cases: Develop AI agents, chat interfaces, and host application servers using MCP protocol standards.
Included in the Model Context Protocol (MCP)
6 Hours of On-Demand Video
Access on Mobile
Certificate of Completion
Suitable for the Following Careers
AI Developer
Prompt Engineer
Security Researcher
AI Product Manager
Solutions Architect
Automation Specialist
Data Scientist
Course Content
PREVIEW COURSEModule 01 - Welcome & Course Overview
Course OverviewModule 02 - MCP Introduction
Module 03 - Project 1: MCP Hello World / Weather API Tool
Module 04 - MCP Architecture in Depth
Module 05 - Project 2: MCP Server with GitHub
Module 06 - MCP Server with X/Youtube
Module 07 - MCP Server with Gmail
Module 08 - MCP Server with Zappier
Module 09 - Developing, securing, and containerizing an MCP server
Course Summary
Audio
OPEN FULL CURRICULUM
Bonus Lecture - Whats Next?Requirements
Basic understanding of language models and AI systems
General technical literacy and ability to work with APIs
Familiarity with prompt engineering or conceptual design
Access to a local MCP server or LLM interface (ChatGPT, Claude, Gemini)
Description of Model Context Protocol (MCP) Bootcamp
This bootcamp is your guide to mastering the Model Context Protocol (MCP)—an open protocol that provides a standardized way to connect AI systems, external tools, and data sources securely. You’ll discover how MCP enables seamless integration of large language models with custom connectors, project structure design, and multiple servers.
Through hands-on projects and guided instruction, you’ll learn how to set up MCP servers, manage explicit user consent, and build robust consent frameworks that carefully address the security implications of arbitrary code execution and arbitrary data access. You’ll practice configuring secure access to external data sources, developing executable functions, and implementing context protocol MCP strategies to transmit resource data safely.
By the end of the course, you’ll be able to:
- Develop and deploy MCP server implementations
- Establish communication and secure access between clients, servers, and AI tools
- Create custom AI workflows and integrations with remote MCP servers
- Implement appropriate access controls and authorization flows
- Maintain data protections follow security guidelines and retain control over user data
- Build AI agents that respect user consent and expose tools securely
Mastering MCP positions you as a leader in AI architecture, bridging the gap between prompt engineering and sophisticated, compliant systems.
Who is This Course For
This course is perfect for AI professionals ready to move beyond basic prompt design and into secure, context-aware system building. It’s ideal for developers, security researchers, and anyone working on AI tools, chat interfaces, or custom AI workflows who wants to understand the Model Context Protocol MCP in depth.
Course Instructor
Anand Nednur
Anand Rao is a senior technical instructor and cloud consultant with 15 years of experience working with large enterprises. He is proficient in cloud platforms (Azure, AWS, GCP), IAM, security, and automation with PowerShell and Python. Anand excels in developing course content and helping engineers secure certifications.
He has delivered training across India and internationally in the USA, Bahrain, Kenya, and UAE. Anand is also a Microsoft Certified Trainer and holds certifications including CompTIA Security+, Scrum Certified Master, ITIL V3, Certified Network Defender, Certified Ethical Hacker, MS Active Directory, MS Azure Administration, MS Azure Architecture, AWS Certified Solutions Architect, AWS Certified SysOps Administrator, Google Cloud Platform-Cloud Architect, and Certified Cloud Security Knowledge.
Anand's comprehensive knowledge and dedication to teaching have made him a trusted resource in the field of cybersecurity and cloud computing.
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Testimonials
Javier R.
This course is a gem! The calm and focused atmosphere makes learning effortless, and the short, well-structured lessons help you retain information effectively.
What I loved most is how versatile it is: whether you're experienced in AI and Python or a complete beginner, the content is valid, high-quality, and easy to follow.
The instructor avoids unnecessary complexity without sacrificing depth, a rare balance. Highly recommended for anyone looking to learn about MCP in a stress-free yet impactful way!
Kornel K.
This MCP training course exceeded my expectations in every way. As someone who works with AI systems professionally, I was looking for a comprehensive resource that could take me from understanding the theoretical foundations of Model Context Protocol to actually implementing it in real-world scenarios. This course delivered on all fronts.
Andres V.
Good resources and basic principals. Would have like more material on enhancing mcp and optimization.
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