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Spring Registration Opens Feb 24
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TECH 25 — AI Agents: The Future of Work and Innovation

Quarter: Spring
Instructor(s): Sanjay Krishnan
Duration: 8 weeks
Location: Online
Date(s): Apr 3—May 29
Class Recording Available: Yes
Class Meeting Day: Thursdays
Grade Restriction: No letter grade
Class Meeting Time: 5:30—7:00 pm (PT)
Please Note: No class on April 10
Tuition: $460
   
Refund Deadline: Apr 5
 
Unit(s): 1
   
Enrollment Limit: 50
  
Status: Registration opens Feb 24, 8:30 am (PT)
 
Quarter: Spring
Day: Thursdays
Duration: 8 weeks
Time: 5:30—7:00 pm (PT)
Date(s): Apr 3—May 29
Unit(s): 1
Location: Online
 
Tuition: $460
 
Refund Deadline: Apr 5
 
Instructor(s): Sanjay Krishnan
 
Grade Restriction: No letter grade
 
Enrollment Limit: 50
 
Recording Available: Yes
 
Status: Registration opens Feb 24, 8:30 am (PT)
 
Please Note: No class on April 10
 
 
AI agents are revolutionizing how enterprises handle complex business operations, from customer service to internal workflows. These autonomous programs—designed to perceive, decide, and act on behalf of businesses—represent the next frontier in workplace automation. This course will equip students with practical skills to create AI agents that efficiently handle complex workflows with precision and reliability. Going beyond Python and open-source LLM technology, the course addresses key challenges in enterprise AI, including context management and system integration. We will start by creating an AI agent that responds to customer support messages in the company's authentic brand voice, consistent with the enterprise context and tone. We will then develop more advanced agents that address complex use cases, such as an HR assistant that accurately answers employee questions by referencing company-specific documents. Students will leave the course able to formulate enterprise workflows as agentic AI systems and implement practical solutions. All students will have the option to create a capstone project using open source technology building blocks to design and build a practical agent.

Python programming experience is recommended but not required.

SANJAY KRISHNAN
Vice President, Product, Concentric AI

Sanjay Krishnan has a background in autonomous AI agents and is a startup advisor at Stanford and UC Berkeley incubators, StartX and Skydeck. He has been a guest lecturer at Stanford's Graduate School of Business and UC Berkeley's Executive Education. He was vice president of product and engineering at Apex.AI. He has helped launch a software developer framework for real-time AI applications, create a 14-part lecture on developing an autonomous driving system using open source software, and build an ecosystem of companies with complementary technologies. He advises companies on automating enterprise workflows using agentic AI systems capable of API usage with high accuracy at enterprise scale.