What is AI & Machine Learning?
AI engineers build the next‑generation tools reshaping every industry
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
Remote and hybrid-friendly: commute less, live more
The fastest sustainable path into AI & Machine Learning: 9 months part‑time
Updated this month
Curriculum
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
Resume and cover letter review
1-on-1 mock interviews
Portfolio review
Download the syllabus to see our full program
Tech never stops progressing, but we’ve got you covered. You’ll have full access to every curriculum update.
Download syllabusIndividual attention
and personalized
guidance
tutoring
learning coaches
career coaching
We believe that you’ll get into tech in 10 months. In fact, we put money on it.
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 any program, 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.
4.8/5 across 2,500+ reviews on trusted platforms
A Top 3 Online Bootcamp
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.
The projects are modeled from real-world scenarios, which made them quite interesting to work on and solve.
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.
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.
The projects are modeled from real-world scenarios, which made them quite interesting to work on and solve.
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.
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.
The projects are modeled from real-world scenarios, which made them quite interesting to work on and solve.
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.