The
Multiverse
School

5-Week Course

Intro to Agents

09.15.25 - 10.15.25 5 weeks live & online, 12 hours in class

Create Agentic Autonomous Applications

with Liz Howard

What You'll Learn

This advanced course is designed to equip participants with the skills to build, deploy, and optimize agentic applications. Through a series of hands-on workshops, learners will explore topics such as prompt engineering, persona creation, retrieval-augmented agents, and model fine-tuning, culminating in the ability to prototype AI systems that can perform autonomous actions.

  • Design and implement request-response agents for various applications
  • Create retrieval-augmented agents that can access and utilize external knowledge
  • Develop autonomous agents that can take actions based on goals and environmental context
  • Implement utility AI with different operational modes for more sophisticated agent behavior
  • Build multi-process agents that leverage traditional AI tools for stable and predictable performance
  • Design and prototype agent swarms for collaborative problem-solving
  • Reuse and adapt existing agents for new applications and contexts
  • Understand the principles of agent architecture and communication

Course Schedule

4Weeks
12Classroom Hours
Week 1

Request-Response Agents

Monday, September 15 at 5:00 PM - 6:30 PM PDT

Create agents that respond to requests with multiple messages and actions

1.5h
Week 1

Retrieval Augmented Agents

Wednesday, September 17 at 5:00 PM - 6:30 PM PDT

Add knowledge to a vector store

1.5h
Week 2

Agentic RAG

Monday, September 22 at 5:00 PM - 6:30 PM PDT

Create an agent with multiple sub-processes that performs RAG insertion and retrival

1.5h
Week 2

Autonomous Agents

Wednesday, September 24 at 5:00 PM - 6:30 PM PDT

Agents that take action based on an environment and goals

1.5h
Week 3

Autonomous Agents

Monday, September 29 at 5:00 PM - 6:30 PM PDT

Use Utility AI with modes rather than a simple OODA loop

1.5h
Week 3

Multi-Process Agents

Wednesday, October 01 at 5:00 PM - 6:30 PM PDT

Depend on traditional tools like pathfinding and utility AI to accomplish tasks in a stable, predictable manner

1.5h
Week 5

Swarm Prototyping

Monday, October 13 at 5:00 PM - 6:30 PM PDT

Use multiple agents in a swarm

1.5h
Week 5

Swarm Recruiting

Wednesday, October 15 at 5:00 PM - 6:30 PM PDT

Reuse agents you've already made

1.5h

All times shown in Pacific Time

Who Is This Course For

Students with foundational knowledge in Prompt Engineering who want to learn how to create and manage AI agents for various applications.

Who this is for & what you'll need

Solo coding

You should be able to write in some language on your own.

A few installs

You'll install a couple of tools, we'll help you in class.

Where This Class Leads

What you leave able to do

  • construct a retrieval system
  • construct an agent that uses tools
  • govern a swarm by information hierarchy
  • re architect an agent as a stateless reducer
  • reconcile agents from different toolchains into one run
  • select among agent architectures
  • synthesise a self extending agent behind a review gate

How you show it. A diff the agent authored to its own prompt or toolset, the benchmark run that accepted it, and a logged rejection with the reason recorded.

It sits on 3 paths

Build production AI systems from prompt to deployment.6 of 12 after Claude Model Context Protocol · before Prompt Engineering Founder with an AI-first company.6 of 7 after Context Engineering · before AI Security: Governance, Standards and Safety Cases Build strange systems that change how people think.4 of 8 after The Interactive Fiction Intensive · before Automate Your Email: No Code AI Automation

About 67 hours of practice sit behind this one. See what your hours buy.

Join the Course

Pay what you can - accessible learning for all

The minimum is $110, it keeps out spam. Need a larger discount? Apply for a scholarship. We offer 100% scholarships, no one is turned away for lack of funds.

Suggested $220 pay what you can

Suggested price • Pay what you can

    Pay What You Can

    Secure payment via Stripe

    Suggested $300 pay what you can

    Suggested price • Pay what you can

      Pay What You Can

      Secure payment via Stripe

      Instructor

      Liz Howard

      Liz Howard

      Future Infinitive☸️ (Liz Howard) Founder & Professor, The Multiverse School Computer Science · AI · Cybersecurity Formerly faculty, Cal State Monterey Bay Co-founder, Hipcamp Previously built Hackbright Academy, Girl Develop It, Galvanize, Enki

      GitHub LinkedIn Website

      Frequently Asked Questions

      How are classes delivered?

      All classes are live and online via video call. Sessions are recorded so you can review them later if you miss one.

      What does "pay what you can" mean?

      We show a suggested price, but you can pay any amount. If you need a larger discount, apply for a scholarship, we offer 100% scholarships and no one is turned away for lack of funds.

      Do I need prior experience?

      Solo coding. You should be able to write in some language on your own.

      What do I get when I enroll?

      Live sessions with the instructor, access to course curriculum materials, community access via our Matrix chat server, and recordings of all sessions.

      Want to schedule this course for your team?

      Contact us: [email protected]