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*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.
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.
and US Bureau of Labor Statistics
You after TripleTen
How you get a new career in 9 months:
Our grads get great jobs with both startups and industry giants
2 weeks
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 .pdfPython and Software Engineering
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)
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 and Advanced Applications
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
In this module, you’ll apply your new knowledge to create a real-world project and make your final presentation. This will help you build the skills and confidence to become a professional AI/ML engineer.
or pre-requisites.
with regular project
deadlines.
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!
1-on-1 tutoring from industry professionals
Learn directly from the pros, with regular 1-on-1 sessions, daily office hours, and a deep webinar library.
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!
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.
Will I get a certificate?
Of course! It’ll look great on your resume and LinkedIn :-)
1,100+ TripleTen alumni. 80% from a non-STEM
background!
“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.”
“The bootcamp starts with simple Python manipulations and then goes into more complex math and statistics. So rather than jumping from article to article and trying to piece together what you don’t know, it’s great to have that progressive structure.”
“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.”
“They prepare you for a real career. They give you a taste of what your professional tasks will look like.”
Full story
“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.”
“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.”
“I found that data science is applicable across many industries. It almost feels like the things that you can do with data science have a sense of magic to them. You look at them and say, ‘Wow, how did that happen?’ and that's what drew me to it.”
“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.”
“The bootcamp starts with simple Python manipulations and then goes into more complex math and statistics. So rather than jumping from article to article and trying to piece together what you don’t know, it’s great to have that progressive structure.”
“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.”
“They prepare you for a real career. They give you a taste of what your professional tasks will look like.”
Full story“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.”
“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.”
“I found that data science is applicable across many industries. It almost feels like the things that you can do with data science have a sense of magic to them. You look at them and say, ‘Wow, how did that happen?’ and that's what drew me to it.”
“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.”
“The bootcamp starts with simple Python manipulations and then goes into more complex math and statistics. So rather than jumping from article to article and trying to piece together what you don’t know, it’s great to have that progressive structure.”
“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.”
“They prepare you for a real career. They give you a taste of what your professional tasks will look like.”
Full story“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.”
“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.”
“I found that data science is applicable across many industries. It almost feels like the things that you can do with data science have a sense of magic to them. You look at them and say, ‘Wow, how did that happen?’ and that's what drew me to it.”
4.8/5 across 1,200+ reviews on trusted platforms
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if you want to have a family
to help strengthen your coding skills
We believe that you’ll get into tech in 10 months. In fact, we put money on it.
the included career prep
and coaching programs.
and stay in touch with your career coach
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.
Part-time AI & Machine Learning bootcamp schedule: whenever and wherever
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...
You’re never alone—our tutors always have your back
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.
Meet with the client company rep to receive live feedback.
and LinkedIn
“I liked that there real projects with real companies at TripleTen, and that you had to finish projects in a certain amount of time.”
Become a magnet for recruiters with a personal career coach and AI job-hunting tools
FAQ
Complete FAQWhat is AI & Machine Learning?
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.
TripleTen’s AI & ML bootcamp prepares you for a range of careers based in data science and AI. In just nine 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.
How long does the AI & Machine Learning Bootcamp take?
The AI & Machine Learning Bootcamp at TripleTen takes 9 months to complete, with a weekly study load of roughly 20 hours. You’ll spend the first seven sprints mastering development tools for data analysis and statistics tasks. The next four will cover machine learning, and the subsequent six will focus on neural networks, the cloud, and production systems. Finally, you’ll finish off with a capstone project.
What types of jobs do graduates usually get in the AI & ML industry?
Graduates from our program can get jobs in the AI & ML industry such as:
- <a href="https://tripleten.com/blog/posts/becoming-data-scientist-without-degree">Data Scientist</a>
- ML Engineer
- AI Engineer
- Data Architect
What if I don’t get a new job?
It does happen—but if you don’t get a new tech job within ten months of graduation, we will refund 100% of your TripleTen tuition.
Conditions do apply—to get your refund you have to:
- Complete the program, including Career Prep and Career Acceleration program.
- Actively participate in a job search, applying to relevant positions and going through interviews.
- Keep in touch with your career coach.
- Be a U.S. resident.
You can find more details in our Terms of Use.
What career services do you offer?
We prepare you for your job search using the highest standards and best practices in career coaching.
You will:
- Learn how to write a compelling resume and cover letter.
- Graduate with a show-stopping portfolio of real-life projects that demonstrate practical work experience.
- Put together a professional GitHub portfolio.
We will:
- Help you present your best self in tech and behavioral interviews.
- Provide you with soft skills training and make sure you feel confident in your new position.
- Send you a digest of positions and openings that are relevant to you
And just because you graduate doesn't mean your TripleTen career services support stops. We provide graduates with post-offer support designed to help them succeed in the tech industry, including three career coaching sessions per year, depending on their needs. We also offer access to free career assessment tools that help you evaluate your skills and identify areas for growth. So, if you've transitioned into a new role or decide to return to the job search, we can help set you up for success with career advice and a career materials review.
What makes TripleTen’s AI & ML Bootcamp the best?
TripleTen’s AI & ML Bootcamp is the best because of the breadth of in-demand tech it covers, its core philosophy of hands-on project-based education, and its focus on teaching real-world skills that actual companies actually are hiring for. You’re not just learning AI & ML for the heck of it; you want it to transform your career. We put that professional transformation at the heart of our operations and it informs how we operate at every level — from the things we teach to the extensive career support we offer.
Is an AI & Machine learning bootcamp worth it?
Every penny and minute spent, if we and our graduates have anything to say about it. You’ll get out what you put in—and we’re not saying it’s going to be easy. If a career in any branch of AI and ML is your goal—and you’re ready to commit and power through—then you’ll see the value in every step of your bootcamp journey.
Do I need a background in math, CS, or data science?
No, you don’t need a background in math, computer science, or data science. Of course, some knowledge of statistics and Python will get you ahead of the game, but we’ll teach you all you need to know if you don’t have that know-how on your resume yet.
What programming languages are taught in the bootcamp?
Our bootcamp teaches various programming languages, mainly Python and JavaScript. You’ll learn both the theoretical and practical aspects of these programming languages, which are useful for building predictive models to guide organizational decision-making.
Will I get enough hands-on experience to build a strong portfolio?
Yes, you will get enough hands-on experience to build a strong portfolio through our AI & ML program. We teach based on a project-based structure, and each project you finish in our bootcamp will also be an entry you can bank in your portfolio. In addition to that, we offer students the opportunity to join externships, hands-on projects with real-world companies, and this experience can also be included in your portfolio as further proof of your bona fides.
Can I attend the bootcamp if I am currently working full-time?
Yes, you can attend our bootcamp if you’re currently working. We offer a part-time program that spaces the learning modules conveniently for people with full-time jobs. In addition, our services such as career coaching and all conversations with our experts can be scheduled on a flexible basis, so you can access those career-boosting opportunities at times convenient to you.