Chuks Okoli
Before
Chemical Engineer
Now
Machine Learning Engineer
OnlinePart-time

AI & Machine Learning Bootcamp

Join our 9-month part-time AI & Machine Learning bootcamp to earn $85,000 remotely in your first job after graduation

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A Top 3 Online Bootcamp

Award-winning online job training and support designed for your real life

+$22,5kmedian graduate salary increase
2,600+graduates
80%of graduates had zero coding skills or previous tech-related experience
Our guarantee: job in tech or 100% money back*
No IT or STEM
background needed
4.8/5 rating across
2.5k+ reviews

*Get a relevant job in 10 months or your tuition back when you complete our included Career Services package and make a good-faith effort to find a job. Details in our Terms of Use.

What is AI & Machine Learning engineering?

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.

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

Where can your AI & Machine Learning training take you?

Machine Learning EngineerTeach machines to teach themselves. Self-driving cars, smart infrastructure, industrial AI, and other booming tech fields have ML at their core, making it a future-proof career choice.
$85,000starting pay
for ML Engineers
AI EngineerDesign, train, and deploy machine learning models to solve real-world problems—from recommendation engines and conversational AI to fraud detection and clinical diagnostics.
$110,000starting pay
for AI Engineers
Data ScientistAs a data scientist, you’ll turn big data into bigger ideas and business strategies using today’s most advanced digital tools in data analytics, artificial intelligence, programming languages and more.
$84,000starting pay for
Data Scientists
Data ArchitectData Architects build databases and apps that use them. It’s a more focused, less open-ended field than others in this list, and is very much in demand in large organizations.
$114,000starting pay for
Data Architects
Sources: Glassdoor.com
and US Bureau of Labor Statistics

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
In 4–6 years
$176,000
In 7–9 years
Source: Glassdoor.com

You after TripleTen

AI Engineer
LinkedIn
LinkedIn
GitHub
GitHub
$85,000
Expected salary
Hard Skills
Python+NLTK
Python+NLTK
Numpy
Numpy
Pandas
Pandas
Matplotlib
Matplotlib
Jupyter Notebook
Jupyter Notebook
Scikit-learn
Scikit-learn
LightGBM
LightGBM
SQL
SQL
Keras
Keras
PySpark
PySpark
TensorFlow
TensorFlow
Bash
Bash
PyTorch
PyTorch
Flask/FastAPI
Flask/FastAPI
Docker
Docker
Kubernetes
Kubernetes
AWS
AWS
HuggingFace
HuggingFace
Soft Skills
Teamwork
Problem solving
Time Management
Project Management
Adaptability
Education
TripleTen AI & Machine Learning Bootcamp
Projects
ML for Mining: Gold Recovery Prediction
40+ hours of coding in Python, using industry-standard ML libraries.

How you get a new career in 9 months:

1Immersive AI & ML training that fits your
life—and employer demand
Tell me more
2Industry experience opportunities and a project portfolio to matchTake a closer look
3Career coaching and guidance, with job search prep and lifelong supportWow! What’s that?

Our grads get great jobs with both startups and industry giants

9 months of career-oriented education
Updated every
2 weeks
Based on employer
insights

Our immersive AI & Machine Learning will teach you everything from the foundations of Python and statistics, to advanced topics including neural networks, computer vision, natural language processing, and large language models (LLMs). By the end of the program, you will have 15 projects in your portfolio to show employers.

Download .pdf
Python for data analysis and statistics
12 weeks6 projects

Python is the most popular programming language for data manipulation and business intelligence. We’ll help you understand Python and write code for data manipulation tasks. You’ll also learn how to use Python to build data analysis and visualization models.

Hard skills

  • Python3
  • Git and GitHub
  • postgreSQL
  • PySpark
  • Numpy
  • pandas
  • Exploratory data analysis
  • Statistical data analysis

Soft skills

  • Analytical and critical thinking
  • Communication and teamwork
  • Self-management
Machine Learning (ML)
8 weeks4 projects

Learn to apply Machine Learning to generate insights from datasets and make predictions that will guide organizational decisions. This module builds on your understanding of the Python programming language, statistics, and software engineering to create intelligent systems. You’ll use Python to create machine learning models for real-world business projects.

Hard skills

  • Supervised learning
  • ML for business

Soft skills

  • Task management
  • Business thinking and problem-solving
Neural Networks, Cloud, and production systems
10 weeks6 projects

This module teaches Time Series (handling data with a time dimension), Unsupervised Learning, Natural Language Processing, Neural Networks, and more.

Hard skills

  • Matplotlib
  • Algorithm analysis
  • Time series
  • ML for text
  • Computer vision
  • Deep learning
  • Unsupervised learning
Final project
2 weeks

In this module, you’ll apply your knowledge to create a real-world data science project and make your final presentation. This will help you build the skills and confidence to become a professional data scientist.

No IT or STEM background needed. Our program is beginner-friendly!
No entrance exams
or pre-requisites.
Flexible program
with regular project
deadlines.

Stuck? Instructors and our 
AI assistant are here to help

Get instant hints from Dot, our friendly AI assistant, or connect with an instructor who works in the field you’re entering.

Learn more about support options

Build professional skills using industry-standard tools

Learn Python and data analysis, machine learning, API development, cloud deployment, MLOps and more. Graduate with up-to-date skills that employers are looking for!

This is how you’ll learn to code for AI & ML

Externship opportunities for experience and employer references

Apply to work on real-world projects for business clients! You’ll get a project to put in your portfolio, experience for your resume, and maybe even an employer review in your LinkedIn!

Learn about industry experience
Besample
Data marketplace for global research that makes data collection easy, affordable, responsible, and accurate. The Besample platform automates participant targeting, recruitment, and payment.
besample.app
Supernova
An insurance agency founded by a team of seasoned industry leaders dedicated to innovation and efficiency with a broker-centric approach.
Supernovamgu.com
Boston Public Library
The first large free municipal library in the United States, and first public library to lend books. Today, the BPL features a central library and twenty-five neighborhood branches, serving nearly 4 million in-person visitors per year and millions more online.
Bpl.org
Besample
Data marketplace for global research that makes data collection easy, affordable, responsible, and accurate. The Besample platform automates participant targeting, recruitment, and payment.
besample.app
Supernova
An insurance agency founded by a team of seasoned industry leaders dedicated to innovation and efficiency with a broker-centric approach.
Supernovamgu.com
Boston Public Library
The first large free municipal library in the United States, and first public library to lend books. Today, the BPL features a central library and twenty-five neighborhood branches, serving nearly 4 million in-person visitors per year and millions more online.
Bpl.org

Get hired for a career-track role with our help

Lean on our career coaches and placement coordinators.
Practice interviewing with someone who’s interviewed hundreds of people. Polish your resume with someone who knows what employers look for.

Check out our Career Services

Will I get a certificate?
Of course! It’ll look great on your resume and LinkedIn :-)

2,600+ TripleTen alumni. 80% of graduates had zero coding skills or previous tech-related experience

Rachelle Perez
Before
Tourism Sales
Now
Data Scientist

“Being able to talk with professionals quickly became my favorite part of the learning. Once you do that over and over again, it becomes more of a two-way communication. I would leave comments for my reviewer, my reviewer would reply to my comments, and then I would add extra questions. So, those code reviews became a way to show that I was actually progressing.”

Chuks Okoli
Before
Chemical Engineer
Now
Data Scientist

“Most of the tutors are practicing data scientists who are already working in the industry. I know one particular tutor, he works at IBM. I’d always send him questions and stuff like that, and he would always reply, and his reviews were insightful.”

Evgeniia Unzhakova
Before
Math Teacher
Now
Data Scientist

“We had an interesting group. When I was learning, it was 50% men and 50% women, and there were all different ages and different people. We helped each other. We had a great discussion group and shared some interesting links. It was a great time for me.”

Gor MikayelyanGor Mikayelyan

“Every sprint was a reward in itself when I learned something new. That gave me the confidence boost to keep going on to each and every sprint.”

Full story
Rachelle Perez
Before
Tourism Sales
Now
Data Scientist

“Being able to talk with professionals quickly became my favorite part of the learning. Once you do that over and over again, it becomes more of a two-way communication. I would leave comments for my reviewer, my reviewer would reply to my comments, and then I would add extra questions. So, those code reviews became a way to show that I was actually progressing.”

Chuks Okoli
Before
Chemical Engineer
Now
Data Scientist

“Most of the tutors are practicing data scientists who are already working in the industry. I know one particular tutor, he works at IBM. I’d always send him questions and stuff like that, and he would always reply, and his reviews were insightful.”

Evgeniia Unzhakova
Before
Math Teacher
Now
Data Scientist

“We had an interesting group. When I was learning, it was 50% men and 50% women, and there were all different ages and different people. We helped each other. We had a great discussion group and shared some interesting links. It was a great time for me.”

Gor MikayelyanGor Mikayelyan

“Every sprint was a reward in itself when I learned something new. That gave me the confidence boost to keep going on to each and every sprint.”

Full story
Rachelle Perez
Before
Tourism Sales
Now
Data Scientist

“Being able to talk with professionals quickly became my favorite part of the learning. Once you do that over and over again, it becomes more of a two-way communication. I would leave comments for my reviewer, my reviewer would reply to my comments, and then I would add extra questions. So, those code reviews became a way to show that I was actually progressing.”

Chuks Okoli
Before
Chemical Engineer
Now
Data Scientist

“Most of the tutors are practicing data scientists who are already working in the industry. I know one particular tutor, he works at IBM. I’d always send him questions and stuff like that, and he would always reply, and his reviews were insightful.”

Evgeniia Unzhakova
Before
Math Teacher
Now
Data Scientist

“We had an interesting group. When I was learning, it was 50% men and 50% women, and there were all different ages and different people. We helped each other. We had a great discussion group and shared some interesting links. It was a great time for me.”

Gor MikayelyanGor Mikayelyan

“Every sprint was a reward in itself when I learned something new. That gave me the confidence boost to keep going on to each and every sprint.”

Full story
Read real student stories

4.8/5 across 2,500+ reviews on trusted platforms

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.

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Part-time AI & Machine Learning bootcamp schedule: whenever and wherever

Learn and practice anywhere through our online platform
Enjoy access to concepts and coding practice even after you graduate!
There are no set lesson timelines or mandatory meeting times
Learn at your own pace, with access to regular live tutoring and group-work sessions.
There are hard project deadlines to keep you on track
Don’t stress! There’s a lot of built-in flexibility for when life happens.

Practice and improve your coding skills with line-by-line code review and personal feedback from your tutors

Learn AI & Machine Learning the way you’d learn on the job—with detailed feedback and help from experienced AI engineers.

Reach out to your learning coach to talk through any issues you encounter. Sometimes, we all just need to talk to someone...

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Work on a real-life AI & ML project with one of our 300+ employer partners

Need experience to get a job, but need a job to get experience? We get it! Through your TripleTen bootcamp, you’ll connect with a real business client to build a real-world project to put on your resume.

1
Join a team, get it done
Work with other students and a project lead to deliver what the client needs.
2
Present your project directly to the client
Put together a presentation.
Meet with the client company rep to receive live feedback.
3
Stack your portfolio
and LinkedIn
Show your work in your portfolio and professional profile. Clients may even post reviews on LinkedIn!
Projects that have already been done by our students
Data marketplace Besample
Besample.app
Insurance agency Supernova
Supernovamgu.com
Boston public library
Bpl.org
Atajan AbdyyevAtajan Abdyyev

“I liked that there real projects with real companies at TripleTen, and that you had to finish projects in a certain amount of time.”

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Become a magnet for recruiters 
with a personal career coach and AI job-hunting tools

Outstanding LinkedIn profile to attract recruiters
Smart cover letter to stand out from the crowd
Polished GitHub portfolio to impress technical recruiters
AI-powered job applications to apply for more jobs in less time
Know what you’re doing at every step
Get the guidance you need from our career coaches. Students report a surge in recruiter messages after coaches help them rework their LinkedIn.
Interview with confidence and conviction
Practice interviews in a supportive environment with industry experts. Prep with 17+ interactive lessons covering both technical and behavioral interviews.
Get hired faster with AI on your side
Become unstoppable with help from your personal career coach and AI tools. From AI-powered job applications to offer negotiation, we've got you covered!

What is the AI & Machine Learning bootcamp?

TripleTen’s AI & ML bootcamp prepares you for a range of Machine Learning careers based in data science and AI. 

In just 9 months, part-time, you’ll gain technical skills in everything from the foundations of Python and statistics, to advanced topics like neural networks, computer vision, natural language processing, large language models (LLMs), plus API development, MLOps, cloud deployment and more. These are all foundational skills for some of the most in-demand and high-growth roles on the market.

What does a machine learning engineer do?

AI/ML engineers design and build computer systems that can learn from data to make predictions, recognize patterns, or automate tasks—like creating recommendation algorithms for streaming services, developing chatbots for customer support, or building systems that can identify objects in photos.

How long does the AI & Machine Learning Bootcamp take?

TripleTen's AI & Machine Learning Bootcamp takes 9 months to complete if you study for 20 hours a week. 

The first seven sprints cover development tools for data analysis and statistics, followed by four sprints on machine learning, and six sprints on neural networks, cloud, and production systems. You'll finish with a capstone project.

What types of jobs do graduates usually get in the AI & ML industry?

Here are some of the roles TripleTen's AI & ML graduates have landed:

What if I don’t get a new job?

TripleTen offers a full tuition refund if you don't land a new tech job within 10 months of graduation. Here's how you can qualify for the money-back guarantee:

  • You must complete the program, including all career counseling and the Active Job Search period
  • You need to actively participate in the job search by applying to relevant roles and tracking your applications
  • You must be a U.S. resident

Full details and eligibility requirements are outlined in our Terms of Use.

What career services do you offer?

TripleTen's career services cover everything you need to land your first tech role and grow in your career. Here's what's included:

  • Resume & cover letter assistance — reviewed by career coaches with HR expertise
  • Portfolio building — graduate with real-world projects built to professional standards, with detailed feedback from coaches and employer partners
  • Interview prep — mock interviews with career coaches and industry professionals to help you practice and build confidence
  • Post-offer career support — up to three coaching sessions per year to help you grow in your new role or re-enter the job search if needed

What makes TripleTen’s AI & ML Bootcamp a top choice?

TripleTen is one of the best-rated AI & ML bootcamps by Course Report, rated on average 4.8/5, offering a proven career roadmap with a money-back guarantee for AI-ready sustainable career transitions. 88% of TripleTen's hired graduates thrive in their careers after a one-year milestone. 

Our job search strategy includes AI tools to navigate the modern recruiting process. We’ve also ensured that each student can complete an externship (on-the-job training) project with a partner company. That means every student graduates with the hands-on experience that employers look for in 2026.

Is an AI & Machine Learning bootcamp worth it?

TripleTen's AI & Machine Learning bootcamp is worth it for learners committed to building job-ready skills and transitioning into AI-related roles. 

While outcomes depend on individual effort and market conditions, TripleTen offers a more effective, structured path to learning practical skills than self-study. It’s also much faster and cheaper than a college degree.

Based on our Student Achievement Highlights, graduates see an average salary increase of $16,300 — proving a fantastic return on investment. On top of that, 88% of TripleTen graduates stay employed for at least a year in their trained tech field, demonstrating just how career-ready our programs are. You'll gain comprehensive skills to break into a new industry and start a new career.

Do I need a background in math, CS, or data science?

No. No prior background in math, computer science, or data science is required. 

While some knowledge of statistics and Python will give you a head start, we'll teach you everything you need to know from the ground up.

What programming languages are taught in the AI/ML bootcamp?

The AI & Machine Learning bootcamp primarily teaches Python, with additional exposure to JavaScript where relevant.

These languages are used for data analysis, machine learning workflows, and building practical AI applications.

Will I get enough hands-on experience to build a strong portfolio?

Yes. TripleTen's AI & ML bootcamp is built on a project-based learning structure, meaning every project you complete becomes a portfolio entry. Students also have the opportunity to join externships — hands-on projects with real companies — adding real-world experience and credibility to their portfolio by the time they graduate.

Can I attend the bootcamp if I am currently working full-time?

Yes. The AI & Machine Learning bootcamp is designed as a part-time program suitable for learners who are working full-time and have 20 hours a week to study.
Learning schedules, career coaching, and expert sessions are structured to offer flexibility alongside professional commitments.

How is TripleTen’s AI & Machine Learning bootcamp different from self-study?

Self-study means you have to choose the right materials, stay motivated, and find answers on your own when you get stuck. 

TripleTen’s AI & Machine Learning bootcamp provides a guided curriculum, hands-on projects, mentor support, and structured career preparation, helping learners progress faster and apply skills in real-world contexts.

How are student outcomes measured and reported?

Student outcomes are measured through graduate surveys conducted after program completion. These surveys track metrics such as employment status, role type, and salary changes over a defined time period. You can find our latest Student Achievement Highlights at the link.

Who is the AI & Machine Learning bootcamp best suited for?

The bootcamp is best suited for beginners and career changers who are prepared to commit consistent weekly study time and actively participate in hands-on projects.

It may be less suitable for learners seeking purely theoretical study or those unable to commit time alongside work or other responsibilities.

How much does the AI/ML program cost and what are the payment options?

Tuition cost depends on the payment option. The most affordable is the upfront payment, starting at $10,500. Flexible payment options are available too.

We offer three payment options:

1. Upfront before you start.
2. Monthly installments while you study.
3. Learn now, pay later options.

No enrollment fee. Other repayment options and financing partners available.

Read our pro-tips for building your AI/ML career

Go to our blog
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Get help and make progress whenever you study—whether at breakfast or 2am

Instructors, online 10am–2pm
Learn from people working in tech
All of our instructors have 5+ years experience in their field. They’ll tell you exactly what worked, and why, on each project.
Hold group office hours
Tutor you 1-on-1
Review and give feedback
Suggest additional practice
Serge
Aimee
Andrew
Max
Dot, online 24/7
Get unstuck quickly with AI
Our friendly AI assistant, Dot, gives you instant hints and guidance (without giving away answers). It even adapts to your learning style.
Explains theory
Reviews coding tasks
Explains code errors
Summarizes content
94% of students are big fans of  Dot’s support

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unique with Dot—it adapts to
my learning style like a real
mentor.

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instead of giving answers—
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