model.train();

WORKWITHAI & DATA

The world is generating more data than ever.

People who can make sense of it are invaluable and in demand. Data scientists and AI engineers turn raw numbers into decisions. They build models, uncover patterns, and power the systems reshaping every industry.

Learn Python, generative AI, data visualization, and how to build and train machine learning models and neural networks, so you can lead at the intersection of technology and strategy.

The data exists. The insights don't find themselves. The work starts here.

TWO PATHS
INTO AI

Earn while you learn through paid apprenticeships at real companies. Start building from day one — or skip the foundations if you're already an engineer.

Build AI skills on your timeline — full-time or part-time. From Python fundamentals through neural networks and LLMs, graduate with a portfolio that shows what you can build.

Compare Programs

CHOOSE YOUR PATH

Two ways to train. Earn while you learn in a Work-Integrated Immersive program, or build skills part-time while you keep working at your day job with a Certificate program.

$0 effective cost — apprenticeship covers tuition
AI Engineering Immersive
Career changers, non-CS professionals. No coding experience required.
$0
Cost to you when your apprenticeship earnings pay for tuition
19 months40 hrs/wk (Phase 1), 20+20 (Phase 2)
Apply Now
  • Full-stack foundations → AI/ML → Capstone
  • Paid apprenticeship from Month 5
  • 22 courses
  • $10,400 scholarship included
  • Professional Certificate
Accelerated AI Engineering
For engineers. Skip the foundations. Start apprenticeship from month 2.
+$14,100
You earn $14,100 more than the cost of your tuition from your apprenticeship
16 months20 hrs education + 20 hrs apprenticeship
Apply Now
  • AI/ML from Day 1
  • Apprenticeship begins month 2
  • 11 courses
  • $3,000 scholarship included
  • Professional Certificate
Not sure which path?
Answer a few questions and we'll recommend the right program for where you are now.
Get a Recommendation
  • No coding experience required for most programs
  • Paid apprenticeships at real companies
  • Instructor-led live remote sessions
  • Professional Certificate on completion
  • Full-stack + AI curriculum
  • Capstone project portfolio
  • Part-time options available
  • Scholarships included

WHAT YOU'LL BUILD

From Python fundamentals to production AI systems — every skill maps to what employers need.

Learn more

Machine Learning

Train, evaluate, and compare supervised and unsupervised models with Scikit-Learn.

Neural Networks

Build deep learning systems from fundamentals through production deployment.

NLP & LLMs

Work with natural language processing, transformers, and large language models.

Data Engineering

Clean, analyze, and visualize structured and semi-structured datasets.

// EARN WHILE YOU LEARN

HOW WORK AND LEARNING
COME TOGETHER

THE IMMERSIVE WORK-INTEGRATED TRACK

Coursework and an apprenticeship, running at the same time.

From the moment you start the program, you are building toward real work. Complete your Software Engineering intensive coursework, and by the end of month 4, you will have built a foundation in Python, JavaScript, APIs, databases, and full-stack development.

In month 5, you’ll start your apprenticeship. Deploy your new development skills to build advanced applications and integrate AI solutions in dynamic environments. You’ll keep learning through your AI & Data Science coursework while getting hands-on work experience. Learning and working reinforce each other.

At the end of the program, you will have shipped AI-powered applications, completed a rigorous curriculum, and accumulated 15 months of employer-validated work experience.

THE ACCELERATED WORK-INTEGRATED TRACK

If you already have an engineering foundation, you’ll start here.

You’ll dive right into AI & Data Science coursework and get placed into your apprenticeship. Learning and the apprenticeship run simultaneously. They reinforce each other. By the end of the program, you will have gained an AI specialization, 15 months of production experience to prove it and come out ahead financially.

// THE LEARNING EXPERIENCE

HOW A COURSE WORKS

Every course follows the same structured format. Rigorous by design. Built around how engineers actually learn.

01SELF-PACED

Self-Directed Modules

  • Sequenced lessons broken into digestible units
  • Checkpoints to confirm understanding before advancing
02APPLIED

Hands-On Labs & Practice

  • Applied, skill-specific exercises tied to each module
  • Immediate feedback loops to reinforce learning
03LIVE WEEKLY

Live Facilitation

  • Expert facilitators with industry experience
  • Active problem-solving, not passive instruction
041:1 WEEKLY

1:1 Mentorship

  • Weekly check-ins throughout the program
  • Personalized feedback on projects and career direction
05ONGOING

Projects + Discord

  • Portfolio-ready projects you build and own
  • Peer collaboration and community across cohorts and programs
06PRACTITIONER-SET

Final Assessment

  • Standards set by practitioners
  • Clear pass criteria tied to industry-relevant standards

EVERY COURSE. EVERY WEEK.

This structure repeats across every course in the program. You always know what's expected, when support is available, and how you'll be assessed.

Self-paced modulesLive facilitation1:1 mentorshipDiscord community
// PROOF

EARNED
NOT GIVEN

20,000+ graduates building careers at companies like these.

EtsyInfosysThe New York TimesAppleMicrosoftKickstarterNASABMWWalmartGoogleMetaIBMJ.P. MorganAll TruckArcosaBooking.comEtsyInfosysThe New York TimesAppleMicrosoftKickstarterNASABMWWalmartGoogleMetaIBMJ.P. MorganAll TruckArcosaBooking.com
All Truck Transportation

““My cohort leads were incredibly knowledgeable and genuinely invested in my success, and I'm grateful for the mentorship and support that helped me land my first role.””

Alex Blomarz

Alex Blomarz

Software Engineer, All Truck Transportation

Arcosa

““The program gave me current AI literacy, and it pulled my technical skill fluency forward into a stack that I can actually build with.””

Craig Walker

Craig Walker

Vice President, HR & Payroll Systems, Arcosa

Blueprint

““Flatiron was big on practical skills. You're building apps, working with real tools, and learning how the whole dev workflow fits together.””

Rene Acosta

Rene Acosta

Application Developer, Blueprint

READ engineer STORIES
// START BEFORE IT'S CALM

BECOME
ADAPTABLE

Get updates on the skills shaping tech careers, upcoming events, stories from our apprentices and grads, and what's next at Flatiron School.

20,000+ graduates across 89 of the Fortune 100

// ANSWERS

FAQ

Common questions about our AI programs, admissions, curriculum, and tuition.

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