TECH 40 — Agentic AI in Action: From Concepts to Real-World Impact
Quarter: Spring
Instructor(s): Nithya Natesan
Date(s): Apr 21—May 19
Class Recording Available: Yes
Class Meeting Day: Tuesdays
Grade Restriction: NGR only; no credit/letter grade
Class Meeting Time: 6:00—7:30 pm (PT)
Tuition: $355
Refund Deadline: Apr 23
Unit(s): 0
Enrollment Limit: 100
Status: Closed
Quarter: Spring
Day: Tuesdays
Duration: 5 weeks
Time: 6:00—7:30 pm (PT)
Date(s): Apr 21—May 19
Unit(s): 0
Tuition: $355
Refund Deadline: Apr 23
Instructor(s): Nithya Natesan
Grade Restriction: NGR only; no credit/letter grade
Enrollment Limit: 100
Recording Available: Yes
Status: Closed
AI agents—autonomous systems that understand goals, plan actions, and execute tasks—are delivering massive productivity gains across industries. From automating customer service to accelerating software development, agents are transforming how work gets done.
This five-week course provides the foundation and frameworks to lead AI agent initiatives in your organization. You'll master: what distinguishes agents from chatbots, how agents work technically (architecture, planning, tools, memory), proven use cases with measurable ROI, and practical implementation strategies from pilot to production.
Business leaders will learn to evaluate opportunities, design pilots, and manage change. Technical professionals will understand agents under the hood. All participants will explore optional hands-on Agentic App building using low / no-code tools.
No coding experience required. Optional hands-on activities use tools that have free tier available.
NITHYA NATESAN
AI Startup Founder; Former Group Product Manager, Google
Nithya Natesan is the founder of a stealth-mode AI startup and a former group product manager at Google, where she led GenAI platforms, apps, and agents. With over 16 years of product leadership across Google and NVIDIA, including serving as founding product manager for NVIDIA DGX Cloud and leading the launch of Google's Opal agentic mini-app builder, she has launched and scaled AI/ML products powering everything from cutting-edge research to enterprise-scale solutions. Textbooks for this course:
There are no required textbooks; however, some fee-based online readings may be assigned.