What You'll Learn
This advanced course is designed to equip participants with the skills to build, deploy, and optimize agentic applications. 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 perform autonomous actions.
Course Schedule
Week 1 2 sessions
Request-Response Agents
Create agents that respond to requests with multiple messages and actions
Retrieval Augmented Agents
Add knowledge to a vector store
Week 2 2 sessions
Agentic RAG
Create an agent with multiple sub-processes that performs RAG insertion and retrival
Autonomous Agents
Agents that take action based on an environment and goals
Week 3 2 sessions
Autonomous Agents
Use Utility AI with modes rather than a simple OODA loop
Multi-Process Agents
Depend on traditional tools like pathfinding and utility AI to accomplish tasks in a stable, predictable manner
Week 5 2 sessions
Swarm Prototyping
Use multiple agents in a swarm
Swarm Recruiting
Reuse agents you've already made
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.
It sits on 3 paths
🤖 Build production AI systems from prompt to deployment. 6 of 12 after Claude Model Context Protocol · before Prompt Engineering 🧑💼 Founder with an AI-first company. 6 of 7 after Context Engineering · before AI Security: Governance, Standards and Safety Cases 🧙 Build strange systems that change how people think. 4 of 8 after The Interactive Fiction Intensive · before Automate Your Email: No Code AI AutomationAbout 67 hours of practice sit behind this one. See what your hours buy.
Who Is This Course For
Students with foundational knowledge in Prompt Engineering who want to learn how to create and manage AI agents for various applications.
Who this is for & what you'll need
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.
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]