What You'll Learn

This advanced course is designed to equip participants with the skills to build, deploy, and optimize AI models using GPT. 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 simulate conversations between multiple personas and achieve predictably formatted outputs.

- Write effective system prompts for various applications - Create and manage personas for large language models - Develop advanced summarization techniques for lengthy documents - Engineer agents capable of knowledge retrieval and self-reflection - Benchmark and enhance model performance over time - Use multiple GPTs for complex conversational scenarios - Fine-tune GPT models for specific responses and output formats

Course Schedule

3 Weeks
6 Classroom Hours

Week 1 2 sessions

Agent Prompt Engineering

Monday, September 23 at 2:00 PM - 3:30 PM PDT

Explore effective system prompts, create personas, and tackle complex problem-solving prompts.

1.5h

Retrieval Augmented Agents

Wednesday, September 25 at 2:00 PM - 3:30 PM PDT

Learn to write recursive summarizers, retrieve knowledge, and reflect on agent actions.

1.5h

Week 2 1 session

Production Engineering Agents

Monday, September 30 at 2:00 PM - 3:30 PM PDT

Develop benchmarks for model performance and fine-tune GPT for specific inputs and outputs.

1.5h

Week 3 1 session

Swarm Prototyping

Wednesday, October 09 at 2:00 PM - 3:30 PM PDT

Use multiple GPTs for conversation between personas and achieve predictably formatted outputs.

1.5h

All times shown in Pacific Time

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.

Who Is This Course For

AI developers, data scientists, and technologists interested in advanced Agent development, architecture, and swarm development.

Who this is for & what you'll need

🔵 Solo codingYou should be able to write in some language on your own.
🖥️ A few installsYou'll install a couple of tools — we'll help you in class.

Join the Course

Pay what you can - accessible learning for all

We use a suggested price to prevent abuse, but if you need a larger discount, apply for a scholarship. We offer 100% scholarships — no one is turned away for lack of funds.

$ 220

Suggested price • Pay what you can

Pay What You Can

Secure payment via Stripe

$ 300

Suggested price • Pay what you can

Pay What You Can

Secure payment via Stripe

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]