Method
Flexible
Term
FALL
Cost
$145

Course Description

Welcome to our immersive AI technology workshop series. During these sessions you will be introduced to new and established AI tools that will help you create and manipulate content in new and powerful ways. Each session is led by an industry expert who will guide you through the material and share its real-world implications.

Learning Outcomes 
By the end of the workshop, participants will be able to:

  • Explain the core principles and motivations behind the Model Context Protocol (MCP), including its role in AI Agentic system communication and AI model integration.
  • Identify the structure and components of an MCP message and understand how context is preserved and passed across tasks or AI agents.
  • Implement simple MCP interactions in a controlled setting using real-world tools and libraries.
  • Evaluate the strengths and limitations of MCP in current AI Agentic system architectures, including scalability and interoperability.

Topics Include

  • MCP Basics: What is Model Context Protocol and why does it matter in AI pipelines and agent interoperability?
  • Message Anatomy: Structure, metadata, tokens, and temporal context.
  • Live Demo: Walking through an MCP message lifecycle-create, modify, pass, and interpret.
  • Hands-On Lab: Building a mini MCP-based interaction (e.g., agent-to-agent communication or contextual memory pass).
  • Challenges & Use Cases: Real-world applications, common pitfalls, and current limitations.

Prerequisites: Knowledge of LLM and AI Agents.

Note: Please bring a laptop and have Google, GitHub and Hugging Face accounts to participate in hands-on exercises.

Syllabus Library
Praveen Krishna
Praveen Krishna
Dec. 12, Friday, 10:00am - 4:00pm
  • Flexible Attend in person or via Zoom at scheduled times.
AISV.817_W15.(2)
Schedule
Date Start Time End Time Meeting Type Location
Fri, 12-12-2025 10:00am 4:00pm Flexible SANTA CLARA / REMOTE
 

This course is part of the Fall 2025 AI Workshop series. 

This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.

To see all meeting dates, click "Full Schedule" below.

You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.

This course applies to these programs:

Demo