For web developers who want to learn AI

Become an AI engineer through practical, project based learning and 1 on 1 mentorship. For software engineers by software engineers.

Apply for a spot

Cohort #2 starts in Spring of 2026.

WHY THIS PROGRAM EXISTS

Most developers are using Claude, Cursor and other tools to generate code.

Very few know how to ship AI-powered features in production.

Fewer can intelligently explain the trade offs between RAG and fine tuning or how to create agents that actually work out in the wild.

The future belongs to devs who can bridge web development and machine learning and who understand how LLMs actually work under the hood and can explain it to their teams.

This program gives you that edge super fast.

You’ll learn to think, build, and communicate like an AI engineer by building ONE complex project.

WHAT YOU’LL MASTER


RAG & Vector Databases

Learn chunking, retrieval, and similarity search with Pinecone and Qdrant.

 

Agents & Orchestration

Design multi-agent systems that reason and act — and understand how they’re structured.


Prompt Engineering

Write structured, testable prompts that deliver reliable results.


Observability & Streaming

Integrate AI into live Next.js apps with streaming UIs and monitoring tools.

 


Linear Algebra Foundations

Build an intuition for vectors, dot products, and embeddings without heavy math.


Selling the Vision

Learn to explain and position AI features so leadership actually buys in.

WHAT YOU’LL BUILD

Over 30 days, you’ll architect and deploy a full-stack Next.js + TypeScript application that uses:

Vector storage (Pinecone or Qdrant)

Retrieval-Augmented Generation pipeline

LLM APIs (OpenAI)

Multi-agent workflow

Real-time streaming interface

You’ll walk away with a production-ready AI feature you can demo to employers or ship to production.

Each week you'll meet with your mentor to review your work on your schedule.

You won't like this, but you will record a video each week to explain a difficult concept. This is the "teach back" method and it's why our students crush the competition.

Lastly, you'll submit a proposal for a project to build on your own and have it reviewed before you start. We want you to be excited about what you're building.

HOW THE 30 DAYS WORK

Week 1

  • LLMs, Embeddings & Vectors
  • Vector search demo and math intuition
  • Math assignments

Week 2

  • Building RAG Pipelines
  • Scrape, chunk, embed, retrieve, and respond
  • Create a chunking strategy proposal

Week 3

  • TypeScript & Next.js Integration
  • Chat interface + API routes + streaming
  • Fine-tuning a model
  • Record a video going over RAG vs fine-tuning pros and cons

Week 4

  • Agents and observability
  • Unit testing for agents
  • Add an observability layer to your app to monitor token usage and prompt quality
  • Submit a proposal to build your project including data sources and product overview

You’ll get pre-recorded lessons, code templates, weekly meeting with a mentor, guest speakers and Slack access for 60 days.

 

The goal is very simple. I want you to become the go to person in your organization for integrating AI into your applications.

WHO IT'S FOR

Experienced Full-Stack Devs

You already know React or Next.js and want to add AI to your toolkit. If you graduated a coding bootcamp, you should* know enough.

Tech-Forward Engineers

You’re tired of tutorials and want to ship something real.

 Team Leads & Freelancers

You want to be the person who bridges the gap between engineering and leadership.

Engineering Managers/CTOs

Before you hire an AI engineer,  consider up-skilling your current team.

You can save a ton of money and even boost morale. 20% discount if you have over 5 engineers who want to join. Let's chat: [email protected]

By the end of 30 days, you’ll:

  • Build and deploy a working AI-powered application
  • Understand the why behind LLM behavior
  • Confidently discuss RAG, embeddings, and agent architecture
  • Know how to talk about AI ROI with leadership
  • Be seen as the “AI person” on your team

Enrollment Details:

Duration: 30 days

Format: Asynchronous + 6 mentor sessions

60 days of Slack access.

Lifetime access to material.

Investment:

$1497 (one-time)

or

$499/month Ă— 3 months

$987 refundable deposit to hold your spot

 

Don't like the program or it didn't meet your needs? You can get all your money back in the first 10 days, no questions asked.