The
Multiverse
School

One-Day Intensive

Context Engineering

07.31.26 | 10:00 AM - 4:00 PM PDT 6 hours in one focused day

Context Engineering - prompts and agentic applications with Python

with Liz Howard

Part of the Agent Engineering Stack: From Zero to Production in 3 Days track, 8 classes, take them in any order.

See the whole track
  1. Intro to Agents: 1-Day Intensive Date TBA
  2. Context Engineering Date TBA
  3. Production Agent Engineering Date TBA
  4. Intro to Agents: 1-Day Intensive Date TBA
  5. Context Engineering You're here
  6. Agentic SDLC Date TBA
  7. Agentic SDLC Date TBA
  8. Agentic SDLC: Ship Software with AI Agent Teams Date TBA

Overview

Master advanced AI integration and programming techniques with hands-on Python development. Build agentic applications and learn sophisticated prompting patterns.

What You'll Master

You'll learn to build prompts and agentic applications with Python, master context engineering techniques, and develop advanced AI integration skills for technical applications.

Who this is for & what you'll need

Pro engineering

Built for working engineers.

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 free (for those with the hardware).

Or use the hosted option

Or use the OpenAI API / ChatGPT Plus, with Google Colab (Oobabooga) for the open-model work.

Where This Class Leads

What you leave able to do

  • re architect an agent as a stateless reducer
  • reconcile a failing retrieval by reranking and rewriting
  • reconcile a working set with the context window it must fit
  • reconcile an agents run with a tool that failed
  • select among agent architectures
  • synthesise a memory hierarchy for an agent
  • 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.

Join Us

One-Day Intensive

Suggested $400 pay what you can
  • Full day intensive workshop, community access, advanced AI integration skills. Pay what you can - suggested $400, no minimum or maximum.
  • Your seat in the class
  • Lifetime access to materials
  • Sponsors 1 scholarship seat for someone else

The minimum is $200, it keeps out spam. Need to pay less? Apply for a scholarship, no one is turned away for lack of funds.

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

Want to schedule this class for your team?

Contact us: liz@themultiverse.school