Method
Flexible
Term
SPRING
Cost
$650

Course Description

As AI agents transition from experimental tools production-ready business solutions, organizations need professionals who can design, build and deploy these systems effectively.

This hands-on course teaches software developers and technical professionals how to create AI agents that integrate seamlessly with existing business workflows, from sales and customer support to market research and workflow automation.

This course will cover the core components of agent systems including planning, memory, tool use, evaluation methods, as well as patterns and best practices. Through hands-on exploration of AI agent frameworks and projects, learners will build AI agents for real-world scenarios such as sales qualification, business automation, competitive analysis, and research assistance. By the end of the course, students will have both the technical skills and applied understanding to create agent-based solutions that deliver measurable impact to organizations.

Topics

  • AI Agent Foundation & Architecture
  • Planning & Reasoning Strategies
  • AI Agent Frameworks
  • Evaluation AI agents
  • Memory & Tool Use & Function Calling
  • Agent Orchestration Patterns
  • Production and Deployment
  • Multi-Agent Systems

Prerequisites/Skills Needed

AISV.819 - LLM Fundamentals and Practical Applications

 

  • Flexible Attend in person or via Zoom at scheduled times.
Schedule
Date Start Time End Time Meeting Type Location
Tue, 05-12-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
Tue, 05-19-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
Tue, 05-26-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
Tue, 06-02-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
Tue, 06-09-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
Tue, 06-16-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
Tue, 06-23-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
Tue, 06-30-2026 6:30pm 9:30pm Flexible SANTA CLARA / REMOTE
 

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