The
Multiverse
School

15-Week Course

Prompt Engineering

09.30.24 - 01.08.25 15 weeks live & online, 27 hours in class

Master Prompt Engineering

with Liz Howard

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What You'll Learn

Prompt Engineering is a cutting-edge course designed for those who wish to master the art of interacting with and manipulating large language models. Through a series of workshops, participants will learn to create complex prompts, develop benchmarks, jailbreak models, automate conversations, and much more. The course emphasizes practical skills alongside theoretical knowledge, preparing students for advanced applications in AI.

  • Develop complex prompts and rubrics for AI artifacts
  • Benchmark testing for prompts and templates
  • Techniques for 'jailbreaking' large language models
  • Automating and hosting conversations with AI
  • Using no-code tools for AI automation and scheduling
  • Coding alongside large language models
  • Running open source large language models
  • Aligning AI outputs to human values
  • Creating metalanguages for symbolic reasoning and narrative design

Course Schedule

10Weeks
27Classroom Hours
Week 1

Complex Prompts and Benchmarks

Monday, September 30 at 11:00 AM - 12:30 PM PDT

Developing complex prompts and benchmarks for AI artifacts.

1.5h
Week 2

Jailbreaks

Monday, October 07 at 11:00 AM - 12:30 PM PDT

Jailbreaking a large language model out of its alignment guidance.

1.5h
Week 2

Jailbreaks LAB

Wednesday, October 09 at 11:00 AM - 12:30 PM PDT
1.5h
Week 4

Society of Mind

Monday, October 21 at 11:00 AM - 12:30 PM PDT

Hosting conversations between multiple personas using a large language model.

1.5h
Week 4

Society of Mind LAB

Wednesday, October 23 at 11:00 AM - 12:30 PM PDT
1.5h
Week 5

Tools

Monday, October 28 at 11:00 AM - 12:30 PM PDT

Using no-code tools for AI automation and scheduling.

1.5h
Week 5

Tools LAB

Wednesday, October 30 at 11:00 AM - 12:30 PM PDT
1.5h
Week 6

Augmented Skills

Monday, November 04 at 11:00 AM - 12:30 PM PST

Writing code with a large language model.

1.5h
Week 6

Augmented Skills LAB

Wednesday, November 06 at 11:00 AM - 12:30 PM PST
1.5h
Week 7

Open Source AI

Monday, November 11 at 11:00 AM - 12:30 PM PST

Using open source software for large language models.

1.5h
Week 7

Open Source AI LAB

Wednesday, November 13 at 11:00 AM - 12:30 PM PST
1.5h
Week 10

Alignment

Monday, December 02 at 11:00 AM - 12:30 PM PST

Aligning AI outputs to human values.

1.5h
Week 10

Alignment LAB

Wednesday, December 04 at 11:00 AM - 12:30 PM PST
1.5h
Week 11

Meta-languages

Monday, December 09 at 11:00 AM - 12:30 PM PST

Developing metalanguages for symbolic reasoning.

1.5h
Week 12

Meta-narratives

Monday, December 16 at 11:00 AM - 12:30 PM PST

Creating metalanguages for narrative design.

1.5h
Week 12

Meta-narratives LAB

Wednesday, December 18 at 11:00 AM - 12:30 PM PST
1.5h
Week 15

Final Project

Monday, January 06 at 11:00 AM - 12:30 PM PST

Integration and application of learned skills.

1.5h
Week 15

Final Project LAB

Wednesday, January 08 at 11:00 AM - 12:30 PM PST
1.5h

All times shown in Pacific Time

Who Is This Course For

Professionals and enthusiasts with a foundational understanding of large language models looking to expand their skill set in prompt engineering and AI interaction.

Who this is for & what you'll need

Solo coding

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

Strong computer or subscription

Use your own capable machine, or a paid hosted option below.

On your own machine

Install LocalLM and run open-source LLMs locally (for those with the hardware).

Or use the hosted option

Or use Google Colab (Oobabooga) / OpenAI API.

Where This Class Leads

What you leave able to do

  • govern a swarm by information hierarchy
  • reconcile a working set with the context window it must fit
  • synthesise a long work that stays consistent across many generations
  • synthesise a memory hierarchy for an agent
  • synthesise a metalanguage for a problem domain
  • synthesise a self extending agent behind a review gate
  • synthesise an agent that carries notes across its own runs

How you show it. Paired runs of the same multi-step task with the note store kept and cleared, where the cleared run repeats a step the noted run skips, plus the note text the agent wrote and the later turn that cites it.

It sits on one path

Build production AI systems from prompt to deployment.7 of 12 after Intro to Agents · before RAG & Memory

About 101 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 $299 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]