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) and OpenClaw, 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.
- Understand OpenClaw architecture.
- Implement simple MCP interactions in a controlled setting using real-world tools and libraries to build an OpenClaw agent.
- Evaluate the strengths and limitations of MCP in current OpenClaw 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 OpenClaw functionality.
- Hands-On Lab: Building a mini MCP integration with OpenClaw (to send AI Digest email).
- Challenges and Use Cases: Real-world applications, common pitfalls, and current limitations
Prerequisites: Knowledge of LLMs and AI Agents. Coursework in AI and Deep Learning (or equivalent experience).
Note: Please bring a laptop and have Google Cloud, GitHub and Hugging Face accounts to participate in hands-on exercises. Students are expected to finish the assignment to be graded.
- Live-Online Attend via Zoom at scheduled times.
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Sat, 08-29-2026 | 11:00am | 5:00pm | Live-Online | REMOTE |
This course is part of the Summer 2026 AI Workshop series.
This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled 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.
Required Tools & Materials: Google Colab (Gmail), GitHub, and HuggingFace accounts.
This course applies to these programs: