The
Multiverse
School

6-Week Course

Prompt Engineering

04.23.24 - 05.30.24 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

Tuesday, April 23 at 5:00 PM - 6:30 PM PDT

Develop a complex prompt and rubric for artifacts you commonly produce with AI. Develop a benchmark to test a prompt or prompt template. Use Self-consistency to improve model performance

1.5h
Week 1

Jailbreaks

Thursday, April 25 at 5:00 PM - 6:30 PM PDT

Jailbreak a large language model out of its alignment guidance. Review jailbreaking techniques, practice them with some jailbreaking games. Add red-team prompts to your benchmark from Workshop 1

1.5h
Week 2

Thought Architectures and Augmented Skills

Tuesday, April 30 at 5:00 PM - 6:30 PM PDT

Define, Write, and Deploy an entire application with a large language model. Decompose the above process into a Swarm of Agents

1.5h
Week 2

Tools

Thursday, May 02 at 5:00 PM - 6:30 PM PDT

Use (code or) no-code tools to automate actions a large language model can take. Use (code or) no-code tools to trigger a large language model on a schedule

1.5h
Week 3

Society of Mind

Tuesday, May 07 at 5:00 PM - 6:30 PM PDT

Host a conversation between multiple personas using a large language model. Decompose an agent into a series of smaller agents. Use Autogen to host a conversation between an actor and a critic

1.5h
Week 3

Autogen

Thursday, May 09 at 5:00 PM - 6:30 PM PDT

Automatically host a conversation between multiple personas using a large language model. Re-Implement the SDLC from the third workshop using an agent hierarchy. Implement a multi-agent swarm

1.5h
Week 4

Swarm Architecture

Tuesday, May 14 at 5:00 PM - 6:30 PM PDT

Implement Actor-Critic using Autogen. Implement a multi-stage swarm using Autogen. Implement Code Execution in Autogen

1.5h
Week 4

Alignment

Thursday, May 16 at 5:00 PM - 6:30 PM PDT

Align a large language model's outputs to human values using prompt engineering techniques according to state-of-the-art research

1.5h
Week 5

Meta-languages & Meta Narratives

Tuesday, May 21 at 5:00 PM - 6:30 PM PDT

Develop a metalanguage to allow a language model to reason at a symbolic level about a specific problem domain. Develop a metalanguage to allow for narrative design that can be held in available conversational context windows, allowing for the generation of novels and longer-form objects

1.5h
Week 5

Final Project

Thursday, May 23 at 5:00 PM - 6:30 PM PDT

Integration and application of learned skills.

1.5h
Week 6

Flexible Session

Thursday, May 30 at 5:00 PM - 6:30 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

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]