Next cohort May 2027 · Waitlist openGenerative AI Engineering

From Python basics to production AI in six months.

A live program for career switchers and working professionals. Learn Python, SQL, LLMs, RAG, and AI agents, and deploy three projects of your own. No CS degree needed; Python is taught from scratch.

See the curriculum
6 Months
Sundays 5–7 PM EST
Max 30
Students per Cohort
3 Deployed
Portfolio Projects
$1,800
Tuition · or 6 × $325
Learning Path

Six Months, Six Projects, Three Deployed by You

From your first line of Python to production AI. For each core skill, you build a project with the instructor, then build and deploy your own.

Phase 01Months 1–3

Programming & Data Foundations

01

Python from scratch

  • Python fundamentals for real-world development
  • Writing clean, maintainable code
  • Mini-projects to solidify core skills
02

SQL & working with data

  • SQL for querying and managing structured data
  • Data analysis with practical datasets
  • How backend systems operate

Project: Analytics app — build it together, then deploy your own

Phase 02Months 4–6

Generative AI Engineering

03

LLM applications & RAG

  • Working with Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG) systems
  • Vector databases and embeddings

Project: RAG system — build it together, then deploy your own

04

AI agents

  • Designing AI agents and workflows
  • Integrating AI into real applications
  • Deploying AI systems to production

Project: AI agent — build it together, then deploy your own

Inside the Classroom

See the Program in Action

Recordings from the academy itself — projects built in class and by students, a full live session, and a walkthrough of the program.

Built in class

KenteCodeGPT — the RAG chatbot we built together in Gen AI class

Student project

Pagila SQL Agent — a student capstone that answers database questions in plain English

Live class

A real live class on AI agents — here's what it's actually like

Course overview

Generative AI Engineering: build three real AI applications

Career Roles

Roles You'll Be Prepared For

01

Junior Generative AI Engineer

Build and integrate AI-powered applications using Python and modern LLM technologies.

02

AI Application Developer

Design and implement AI-enhanced tools, workflows, and backend systems.

03

Python Developer (AI-Focused)

Develop automation scripts, integrate APIs, and deploy AI-enabled solutions.

04

Data Analyst with AI Skills

Use Python and SQL to analyze datasets and enhance reporting with AI-driven insights.

Tech Stack

Tools & Technologies

The modern engineering stack you'll use to build and deploy real systems.

Dev Environment

VS CodeJupyterColab

Languages & Libraries

PythonPandasMatplotlibSQL

Databases

PostgreSQLpgAdminVector DBs

LLM & AI

OpenAIAnthropic ClaudeGemini APIEmbeddingsRAGAgentic Workflows

Deployment

FastAPIStreamlitGitHub ActionsDockerAWS

Version Control

GitGitHub
Questions

Before You Join the Waitlist

One Mission:Help You Thrive with AI.

Whether you are just getting started or ready to level up, our programs help you build practical AI skills you can use in real life and work.