The
Multiverse
School

6-Week Course

Prompt Engineering

07.15.24 - 08.21.24 6 weeks live & online, 16.5 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

6Weeks
16.5Classroom Hours
Week 1

Complex Prompts and Benchmarks

Monday, July 15 at 2:00 PM - 3:30 PM PDT

Developing complex prompts and benchmarks for AI artifacts.

1.5h
Week 1

Jailbreaks

Wednesday, July 17 at 2:00 PM - 3:30 PM PDT

Jailbreaking a large language model out of its alignment guidance.

1.5h
Week 2

Society of Mind

Monday, July 22 at 2:00 PM - 3:30 PM PDT

Hosting conversations between multiple personas using a large language model.

1.5h
Week 2

Tools

Wednesday, July 24 at 2:00 PM - 3:30 PM PDT

Using no-code tools for AI automation and scheduling.

1.5h
Week 3

Augmented Skills

Monday, July 29 at 2:00 PM - 3:30 PM PDT

Writing code with a large language model.

1.5h
Week 3

Open Source AI

Wednesday, July 31 at 2:00 PM - 3:30 PM PDT

Using open source software for large language models.

1.5h
Week 4

Alignment

Monday, August 05 at 2:00 PM - 3:30 PM PDT

Aligning AI outputs to human values.

1.5h
Week 4

Meta-languages

Wednesday, August 07 at 2:00 PM - 3:30 PM PDT

Developing metalanguages for symbolic reasoning.

1.5h
Week 5

Meta-narratives

Monday, August 12 at 2:00 PM - 3:30 PM PDT

Creating metalanguages for narrative design.

1.5h
Week 5

Final Project

Wednesday, August 14 at 2:00 PM - 3:30 PM PDT

Integration and application of learned skills.

1.5h
Week 6

Flexible Session

Wednesday, August 21 at 2:00 PM - 3:30 PM PDT

Flexible session for overflow or additional content.

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

The AI Builder7 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. The minimum is $110, which keeps out spam. If that's out of reach, 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]