AI & Machine Learning Bootcamp Online

Online

Part-time

Money-back guarantee

Upgrade your career to the best money in tech in 9 months

Join our AI & Machine Learning bootcamp to earn $85,000 remotely in your first job after graduation

Book a call

Our guarantee: job or 100% money back

80% of graduates had zero coding skills or previous tech-related experience

No IT or STEM background needed

Our guarantee: job or 100% money back

80% of graduates had zero coding skills or previous tech-related experience

No IT or STEM background needed

What is AI & Machine Learning?

AI engineers⁠ build the next‑generation tools reshaping every industry

AI is everywhere⁠—⁠from Netflix to healthcare⁠—⁠and companies need specialists who can turn data into intelligent solutions. AI/ML engineers design and train models, build scalable systems, and create smarter products that power today’s businesses.

In just 9 months, you’ll learn Python, statistics, machine learning, neural networks, and generative AI while completing 15 real projects — so you can do the same.

In-demand skillset

High-growth career

Needed in every industry

Always in demand

AI & Machine Learning
is a high-income career track with high potential for growth

$85,000

Entry level

$131,000

Median pay in 1–3 years

$157,000

Median pay in 4–6 years

$176,000

In 7–9 years

Source: Glassdoor.com

Remote and hybrid-friendly: commute less, live more

AI/Machine Learning Engineer jobs are growing rapidly, with a 41.8% increase in openings since 2024.

Grab our free guide to find out how to adapt

Download guide

The fastest sustainable path into AI & Machine Learning: 9 months part‑time

1Online trainingShort units. Lessons and training projects on our interactive platform. One‑on‑one tutoring on demand.

2Real industry experienceReal projects for client companies. Employers will see them, along with training projects, in your portfolio.

3Win the job searchCareer coaching, interview practice, resume review, and placement coordinators to connect you to employers.

New job

Training curriculum

Updated regularly

Python for data analysis and statistics

12 weeks

Machine Learning (ML)

8 weeks

Neural Networks, Cloud, and production systems

10 weeks

Capstone project

2 weeks

Career prep

Career coaching

Portfolio review

1-on-1 mock interviews

Resume and cover letter review

Download the syllabus to see our full program!

80% of graduates had zero coding skills or previous tech-related experience

Download syllabus

Bonus course for new students!

Free

Computer Literacy

“Not a tech person”? Don’t know a browser from an OS? Take this course to get up to speed! Learn how to use a computer and industry-standard apps so you’re ready to break into tech.

Individual attention
and personalized
guidance

One-on-one
tutoring

Professional tutors with years of industry experience will go over challenging concepts and tasks on demand.

Personal
learning coaches

A personal coach will guide you through the bootcamp, help you stay on track, or even adjust the program to better fit your life!

One-on-one
career coaching

Become awesome at job hunting! Your bootcamp includes live interview prep, resume/portfolio review, and job search assistance!

Money-back guarantee

We believe that you’ll get into tech in 10 months. In fact, we put money on it.

1Graduate, completing the included career prep and coaching programs.

2Apply to relevant jobs and stay in touch with your career coach

3If you don’t have a job after 10 months, we will refund 100% of your tuition

The TripleTen money-back
guarantee is legally binding.
For details, please see our
Terms of use

We also have a fair refund policy

After starting our AI & Machine Learning Bootcamp, you have 2 weeks to withdraw with a 100% refund. After that, you can get a partial refund on a transparent schedule. Check our Terms of Use for more info.

Before

Refinery Ops Specialist

Now

Machine Learning Engineer at Nextdoor

My favorite part of the program is the project and code review. At the end, when your project is approved, there is that satisfaction that comes from achieving a feat.

Chuks Okoli

Before

Business Development

Now

Senior Director of Tech Ops at Remind

The projects are modeled from real-world scenarios, which made them quite interesting to work on and solve.

Makenzie Wells

Before

Freelance Data Scientist

Now

Bioinformatics Data Scientist at Invitae

If there were things I didn’t quite understand, I could bounce ideas off of the mentors within the program, which was something I really needed.

Jordan Wilheim