Method
Flexible
Term
SPRING
Cost
$650
Course Description
As AI agents transition from experimental tools to 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.
Learning Outcomes
At the conclusion of the course, you should be able to
- Explain the fundamental concepts and architecture of AI agents, including planning, reasoning, and tool integration.
- Apply agentic development frameworks to create simple agents capable of interacting with external tools and APIs.
- Evaluate AI agent performance using criteria such as goal completion, reasoning accuracy, and context handling.
- Design and implement business-specific agents that automate workflows, analyze data, and perform customer-facing tasks.
Topics Include
- 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
Additional Information
AI* - This course teaches students techniques and approaches to building agentic systems that can plan, reason, and execute to automate simple to complex workflows and tasks.
Prerequisites / Skills Needed
Prerequisites:
- AISV.819: LLM Fundamentals and Practical Applications
You may enroll in this offering at any time.
May. 19 - Jun. 30, Wed, Tue, 6:30pm - 9:30pm
- Flexible Attend in person or via Zoom at scheduled times.
AISV.821.(1)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| 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 |
2/26/26: Change to start date. See full schedule for details.
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.
|| Prerequisites:
Prerequisites / Skills Needed
This course applies to these programs:
