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Model Context Protocol (MCP) Course

33 Lessons
|
40 hours

Learn Model Context Protocol (MCP) Training step by step and gain the skills needed to manage MCP systems, optimize protocol performance, and maintain AI landscapes. This course helps you understand the MCP workspace, configure system parameters, manage model integrations and authorizations, monitor protocol performance, and handle troubleshooting. You will also learn to manage API interactions, perform upgrades and patches, and address common system issues. By the end of the course, you will confidently manage MCP systems, optimize communication between models and external tools, and integrate AI models into real-world applications, making you job-ready for roles in MCP administration, AI system integration, protocol management, and AI consulting.

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Model Context Protocol (MCP) Course
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About Course

The course delves into the core concepts and technologies essential for building robust, context-aware AI integrations using the Model Context Protocol. Participants will learn how to use MCP resources, tools, and prompts, work with transport layers and multiple MCP servers, and connect MCP with environments such as Claude, VS Code, and custom agentic runtimes to build reliable and interoperable AI-powered applications. Hands-on exercises and practical projects are included throughout the course to help learners gain real-world experience and strengthen their understanding of MCP-based applications.

Prerequisites

  • Basic Understanding of AI & LLMs
  • Programming Skills (e.g., Python, JavaScript)
  • API & JSON Knowledge
  • Software Development Fundamentals

What You Will Learn

  • Understanding Model Context Protocol (MCP)
  • Integrating language models with APIs and services using MCP
  • Developing MCP clients and servers
  • Using MCP to interact with external tools (e.g., databases, APIs)
  • Troubleshooting and error handling in MCP systems
  • Real-world applications of MCP in AI systems

Who Should Enroll?

  • AI/ML Developers
  • Software Engineers working with AI models
  • Data Scientists interested in model integration
  • Engineers working on APIs or distributed systems
  • Researchers looking to work with large language models
  • Technical professionals interested in AI infrastructure and protocols

Benefits of Taking MCP Course

  • Seamless AI model integration with external systems
  • Scalability for large AI applications
  • Hands-on experience with MCP development
  • Enhanced troubleshooting and debugging skills
  • Real-world applicability in AI projects
  • Future-proof skills for evolving AI technologies

Salary

Here is the complete overview of Model Context Protocol (MCP) professionals salary:

Job Roles Salary in India (Annual) Salary in USA (Annual)
AI Engineer ₹8,00,000 – ₹20,00,000 $100,000 – $150,000
Machine Learning Engineer ₹6,00,000 – ₹18,00,000 $95,000 – $160,000
Software Engineer (AI-focused) ₹5,00,000 – ₹15,00,000 $90,000 – $130,000

Course Curriculum

Course Content

Lesson 1 – Introduction to Model Context Protocol

  • Overview of Model Context
  • Importance of Context in Machine Learning Models
  • Types of Contexts (Data, Temporal, Environmental)

Lesson 2 – Data Preparation and Feature Engineering

Lesson 3 – Model Selection and Design

Lesson 4 – Model Training and Evaluation

Lesson 5 – Model Deployment in Context

Lesson 6 – Model Interpretability and Explainability

Lesson 7 – Advanced Topics in Contextual Modeling

Lesson 8 – Ethics and Governance in Contextual Models

Lesson 9 – Industry Applications and Case Studies

Lesson 10 – Tools and Technologies for Contextual Modeling

Lesson 11 – Future Trends in Contextual AI

₹47,940.00
  • Intermediate
  • 50 Total Enrolled
  • 40 hours Duration
  • September 15, 2026 Last Updated

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    ₹47,940.00
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    • Duration: 40 hrs
    • 33 Lessons & Practical Labs
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    ₹47,940.00
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    • Live Interactive Training: 40 hrs
    • 33 Lessons across 11 Modules
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    AU Small Finance Bank
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    United Nations
    Yash Technologies

    Want to know Today's Offer

    Model Context Protocol (MCP) Course Certification Exam

    Upon completing the Model Context Protocol (MCP) Course, you will receive a globally recognized certification that validates your expertise in professional skills and industry best practices. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

    The Technology certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

    Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

    Read more
    Model Context Protocol (MCP) Course

    Frequently Asked Questions

    The Model Context Protocol (MCP) Course is designed to provide comprehensive, in-depth training in Model Context Protocol (MCP). The course delves into the core concepts and technologies essential for building robust, context-aware AI integrations using the Model Context Protocol. Participants will learn how to use MCP resources, tools, and prompts, work with transport layers and multiple MCP servers, and connect MCP with environments such as Claude, VS Code, and custom agentic runtimes to build reliable and interoperable AI-powered applications. The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.

    This course is ideal for beginners, IT enthusiasts, and working professionals who want to build or advance their career in Model Context Protocol (MCP) and qualify for engineer positions. There are no stringent prerequisites—basic computer proficiency and a willingness to learn are all that is required. Foundational topics are thoroughly covered during onboarding.

    The course is delivered through interactive, live online sessions led by industry experts. You will also have 24/7 access to LMS resources, study materials, and session recordings so you can catch up or revise at your convenience if you miss any live classes.

    Yes, hands-on learning is a core component of this course. You will work on practical assignments, real-life use cases, and capstone projects using Model Context Protocol (MCP) tools and best practices, helping you build a portfolio to showcase to hiring managers.

    Upon successful completion of the course curriculum and project assessments, you will be awarded an industry-recognized Certificate of Completion from Kodestree. We also offer career assistance, including resume-building workshops, mock technical interviews, and job opportunities to help you transition into engineer positions.

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    The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

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    After the CSM training, I can confidently facilitate Sprint ceremonies. The trainer's practical approach and real project examples were extremely helpful.

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    Agile concepts were explained clearly, especially backlog management and team facilitation. A bit more time would have made it even better, but overall a solid course.

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    Even as a beginner, I never felt lost — the step-by-step labs and doubt-clearing sessions made switching careers so much easier.

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    This training gave me more than just a certification — it gave me a Scrum Master mindset. The modules on servant leadership and conflict resolution were the most valuable.

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