​MCP by Hand (Mini Course)

​MCP is an emerging open protocol that allows LLMs to interact with external tools, APIs, and data sources in a structured and secure way. It ensures that LLMs can request context or perform actions while respecting permissions and boundaries, reducing risks of unintended outputs.

​Why Enroll? 

​Visual and Conceptual Clarity: Master the building blocks of advanced agent systems through engaging, real world diagram-based examples.

Cutting-Edge Topics: Explore the latest advancements like MCP, A2A, Agent Evals, Agentic LLMs, and the Agentic Web.

​Interactive Sessions: Participate in sketch-based learning and concept tracing activities.

Foundation for Innovation: Gain insights that prepare you to implement or research agentic AI frameworks confidently.


Instructor:

​Mohsena Ashraf: She is a Researcher at CU Boulder working with Dr. Tom Yeh at the Center for the Brain, A.I., and Child (BAIC). Her research focuses on chatbots, neuroimaging and human-AI interaction, especially in regards to young children.

​Mentored by:
Prof. Tom Yeh: Dr. Tom Yeh is an Associate Professor of Computer Science at the University of Colorado Boulder, where he founded the AI by Hand ✍️ initiative — a global educational movement with the mission of teaching AI architectures and algorithms to 1 million people worldwide.

​Yeh’s research spans Generative AI, AI education, assistive technology, computer vision, brain imaging, 3D printing, and STEM education, with a strong focus on bridging human-centric design and frontier AI techniques. His group develops new ways to make complex AI math and algorithms accessible to learners, practitioners, and underserved communities globally.

​He has published over 150 peer-reviewed articles with an h-index of 39, and received Best Paper Awards and Honorable Mentions from top venues including CHI, UIST, SIGCSE, ASSETS, and MobileHCI. His research has been funded by the National Science Foundation (NSF), National Institutes of Health (NIH), DARPA, the Knight Foundation, and the Piton Foundation.

​Yeh earned his PhD in Computer Science at the Massachusetts Institute of Technology, focusing on vision-based user interfaces, and was a postdoctoral fellow at the University of Maryland Institute for Advanced Computer Studies (UMIACS). Today, in addition to his academic research, he is widely recognized as an educator and thought leader with a global following of more than 100,000 learners across platforms such as LinkedIn, Substack, and YouTube.

​Who Should Attend? 

​This workshop is ideal for: 

• ​Researchers and students exploring Agentic AI concepts.

• ​AI enthusiasts who want to understand advanced agent workflows.

• ​Professionals in Agentic AI seeking a comprehensive understanding of AI agent evaluation.

• ​Educators seeking innovative ways to teach AI concepts visually.

​No programming experience required. A basic understanding of AI Agents and LLMs is helpful but not mandatory.