Course Description

This comprehensive, hands-on course takes you deep into Model Context Protocol (MCP) — the emerging standard for connecting LLMs with external tools, data sources, and systems. You’ll start by understanding the MCP architecture, then progressively build a robust end-to-end Agentic AI application that integrates real-time data, APIs, and multi-step reasoning capabilities.

From setting up the MCP server to designing specialized endpoints, orchestrating workflows, and deploying for production use — you’ll gain practical skills to harness MCP for scalable, maintainable, and future-proof AI integrations. By the end, you’ll be confident in implementing MCP-driven Agentic AI solutions across various domains.

What you'll Learn

  • Understand the fundamentals and architecture of Model Context Protocol (MCP).

  • Configure and run an MCP server for different AI model providers.

  • Build custom MCP endpoints for data retrieval, processing, and action execution.

  • Orchestrate Agentic AI workflows using MCP for seamless multi-tool collaboration.

  • Apply best practices for secure, efficient, and maintainable MCP integrations.

About the Instructor

Tanika Gupta - Director Data Science, Sigmoid

Tanika Gupta is a GenAI and data science leader with 13+ years of experience scaling AI solutions and building high-performing teams across global organizations like JPMorgan Chase, Mastercard, American Express, and now as Director of Data Science at Sigmoid. Currently, she leads a 60+ person team and drives enterprise-wide adoption of GenAI and builds multi-agent systems. She has also filed patents, spoken at international AI conferences, and mentored the next generation of AI talent through various platforms.
About the Instructor

Who Should Enroll?

  • Developers & AI engineers building advanced AI applications with real-time integrations.

  • Data scientists & ML practitioners exploring MCP for tool-augmented AI workflows.

  • Automation architects looking to standardize and streamline AI-tool communication.

  • AI enthusiasts & students aiming to work on cutting-edge Agentic AI projects.

FAQ's

  • Do I need prior MCP experience?

    No. The course starts with MCP fundamentals, making it accessible for learners with basic Python and AI knowledge.

  • Will I build a complete application?

    Yes. You’ll develop and deploy a fully functional MCP-powered Agentic AI application by the end of the course.

  • Is this course suitable for non-developers?

    If you have basic coding knowledge, you’ll be able to follow along and apply the concepts, even without deep software engineering experience.

  • Will I receive a certificate upon completion?

    Yes, you will receive a certificate of completion after successfully finishing the course and assessments.

  • What technologies will I work with?

    MCP, Python, REST APIs, and Agentic AI orchestration frameworks.