What are the prerequisites?

No coding experience required for the Fundamentals module. Advanced Operations and OpenClaw assume comfort with basic terminal commands. AI Agents is aimed at engineers. Local Models requires a MacBook with Apple Silicon and at least 16GB RAM.

Can I attend remotely?

All cohorts are in-person only. We believe hands-on, in-person learning is the most effective way to learn applied AI. If you'd like us to come to your city, use the 'Propose a city' option below the schedule.

What is the refund policy?

Full refund up to 14 days before the cohort start date. 50% refund up to 7 days before. No refunds within 7 days, but you can transfer your spot to someone else.

Do I need to bring my own laptop?

Yes. You'll need a laptop with internet access. We'll provide all software setup instructions before the workshop.

Can I buy individual modules?

You can choose modules individually. The full package discount is 20% on eligible modules; final availability and pricing are confirmed before booking.

Hands-on AI workshops

Build with AI.
Learn by doing.Learn to
automate your outreach

In-person training in AI agents, automation, and local models — for engineers, operators, and teams.

Join the waitlist for upcoming cohorts

Explore workshops

Next dates to be announced

Join the waitlist for your preferred modules, or ask about a private team session.

Choose your city →

What You'll Learn

In Person Workshops

Five modules across three tracks — pick your level or bundle them for the full experience.

Fundamentals

Learn the basics of AI

~3 hours

Learn how LLMs work, which models and tools to use, how to structure your prompts, and how vibe code your software and automations.

Advanced Operations

Automate your business with AI

~4 hours

Learn how to write scripts to extract and enrich leads, then learn how to automate outreach, and put all together into a repeatable workflow.

AI Agents

Recommended for Engineers

Build intelligent autonomous systems

~5 hours

Build AI agents from scratch with memory, tool calling, RAG, vector databases, embeddings, and reliability guardrails. You'll walk away with working agent code for your portfolio.

Local Models

Recommended for Engineers

Run AI models on your own machine

~5 hours

Run Llama, Qwen, or Mistral locally, set up a private OpenAI-compatible server, and keep all your data on your machine.

Personal Agents

OpenClaw / Claude Cowork

~5 hours

Install and configure your personal OpenClaw AI agent, integrated your email and social media. Focus on security and privacy.

Custom Module

Suggest what you want to learn

Who Is This For

Built For People Who Ship

Sales leaders who want to automate outreach and prospecting

Founders building AI-first products or workflows

Ops teams looking to cut 10+ hours/week of manual work

Engineers who want hands-on experience with agents and local models

Pricing

Choose Your Package

Each module stands on its own — pick one or combine several to go deeper. No prerequisites, no required order. Prices are TBD — we'll let you know as soon as the classes are ready. We use a progressive window: the earlier you show your interest, the lower the cost will be.

Community Member / Early Bird

Member pricing available — join the community

Schedule

Where would you like to learn?

New cohort dates are being planned. Tell us your preferred city and we’ll keep you posted.

No upcoming cohort dates are listed. Choose Other City to share your preference, or join the waitlist below.

Private cohorts for teams available on request.

Checkout

Complete Your Registration

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Preview

See What You'll Build

Testimonials

Feedback from community events

“Amazing community! Thank you thank you thank you.”

Charbel Kaed

Senior Software Engineer at Google

“Great event, thanks for organizing!”

Amol Shah

AI Prod Lead | ex-OpenAI

“So awesome! Really loved the variety and contributions from everyone. So many specialists. It's like a Tech news feed but the engineers come alive and talk with you.”

Ethan Otto

Machine Learning Engineer @ Armstrong World Industries

“Everybody feels welcome at the event. Lots of learning tonight. Thank you for organizing.”

Christelle Scharff

Computer Scientist & Associate Dean

“Fantastic. I especially like the realistic feedback on MCP.”

Yuxin Ruan

“Fantastic event. Thank you. If there is a recording of the demos please share!”

Timeo Williams

Defense Systems Engineer | AI/ML

“Very valuable and niche group that has good discussions. Liked: format, guests. A huge thanks for the invite.”

Artur Parkhisenko

Sr. Software Engineer @ Vimeo

“Great discussion - great crew! Time well spent. Learnt and exchanged thoughts/ideas.”

P'DB

Prasanjeit 'PD' Dutta Baruah

LinkedIn Video Solutions

“Amazing community! Thank you thank you thank you.”

Charbel Kaed

Senior Software Engineer at Google

“Great event, thanks for organizing!”

Amol Shah

AI Prod Lead | ex-OpenAI

“So awesome! Really loved the variety and contributions from everyone. So many specialists. It's like a Tech news feed but the engineers come alive and talk with you.”

Ethan Otto

Machine Learning Engineer @ Armstrong World Industries

“Everybody feels welcome at the event. Lots of learning tonight. Thank you for organizing.”

Christelle Scharff

Computer Scientist & Associate Dean

“Fantastic. I especially like the realistic feedback on MCP.”

Yuxin Ruan

“Fantastic event. Thank you. If there is a recording of the demos please share!”

Timeo Williams

Defense Systems Engineer | AI/ML

“Very valuable and niche group that has good discussions. Liked: format, guests. A huge thanks for the invite.”

Artur Parkhisenko

Sr. Software Engineer @ Vimeo

“Great discussion - great crew! Time well spent. Learnt and exchanged thoughts/ideas.”

P'DB

Prasanjeit 'PD' Dutta Baruah

LinkedIn Video Solutions

2024

Founded in Brooklyn

Listed chapters worldwide

In person

Community events and discussions

Bring a real engineering question

For a team session, start with the workflow you want to improve, the tools you can use, and how you will judge the result. We agree the exercise, prerequisites, and instructor before confirming the session.

Evaluate a coding agent: select a repository task, define acceptance checks, and record review effort.
Review agent permissions: map tool access and test boundaries using synthetic data in an isolated environment.
Compare deployment options: define a workload and account for quality, latency, and operating costs.

Technical sessions assume familiarity with your codebase and a development environment. Use a sample repository when company code cannot be shared. These are example exercises; scope and deliverables depend on the session you book.

Discuss a workshop for your team

The Modern Growth Stack