Build yourAI-fluent career

TripleTen’s AI programs

are designed to help professionals of different backgrounds move into high-paying tech and AI roles.
Explore programs

Level-up for an AI-driven market

340%AI role growth in 2023-26
Market overview

Build projects & production-grade systems

See projects

Expand your AI engineering stack. Unlock roles that didn't exist last year.

+340%growth in open roles required AI skills
Apr 2023LMM orchestration
Oct 2023RAG pipelines
Jul 2024Agentic workflows
Feb 2025vLLM
Apr 2025MCP
Sep 2025Claude Code

Data source: Stanford AI Index 2026 & 2024 (Lightcast data), Indeed Hiring Lab, Hacker News “Who’s Hiring”

~ 35,000 open roles right now

Role and Salary
Experience
LocationFormat
  • Data Scientist$151K–$175K
    Senior
    New York, NYHybrid, Full-time
    AI Content Specialist$50K-$60K
    Junior
    Remote, US
    Senior Software Engineer, Accessibility$116K–$183K
    Senior
    Remote, US
  • AI Emerging Risks Analyst$198K–$320K
    Senior
    New York, NYHybrid, Full-time
    Senior Software Engineer, API Infrastructure$160K–$240K
    Senior
    Remote (US)
    Business Data Analyst I$70K–$115K
    Junior
    Mechanicsburg, PAFull-time
  • AI Software Engineer$75K-$80K
    Early Career
    San Francisco, CAHybrid, Full-time
    Data Scientist$99K–$150K
    Early career
    Nashville, TNHybrid, Full-time
    Lead Software Engineer, Meteorological Technologies$150K-$190K
    Junior
    Andover, MAFull-time
  • AI-augmented QE/SDET$153K–$221K
    Senior
    New York, NYHybrid, Full-time
    FedRAMP Cybersecurity Analyst$75K–$85K
    Early career
    Remote (US)
    Senior AI Implementation Manager$130K–$150K
    Senior
    Remote, US
Data source: Built In, Greenhouse, LinkedInUpdated October 26

Programs tailored to your background and career goals

  • Leverage your existing experience and close your skills gaps to level up in your career.

  • Learn by building production-ready projects. Graduate ready to do the job.

  • Career coaching to help hone your strategy and excel in interviews.

See how well your skills match target roles.

Take 3 min skills audit

Instructors and coaches from leading tech companies

Learn from instructors and career coaches who work in leading engineering cultures. They know how to succeed in the industry, and what hiring managers look for.

Mohamed CherifInstructor

Principal / Staff Software Engineer

Mohamed Cherif

20+ years building GPU-accelerated media pipelines, SDKs, and computer vision systems at AMD, Microsoft, Amazon, and Skype. ML engineering expert.

Dr. Gönen ErenCurriculum Author

Founder & CTO; most recently .NET APIs on AWS

Dr. Gönen Eren

20 years building distributed IoT backends on Azure, high-throughput telemetry pipelines, .NET APIs, and workflow engines on AWS. Ph.D. in Computer Science, master's from ETH Zürich.

Abygayle IveyInstructor

Senior Security Operations Specialist

Abygayle Ivey

Senior Security Operations Specialist in threat detection, incident response, and cloud security across enterprise telecom environments. MSc in Cybersecurity and Certified Ethical Hacker.

Amish SuchakCurriculum Author

Data Science Lead, XSOLIS Co-Founder, Percruit

Amish Suchak

Building machine learning models and deploying them to production at XSOLIS (AI for healthcare). Teaching at MIT Professional Education since 2021.

Gagandeep SinghInstructor

AI/ML Engineering Lead

Gagandeep Singh

Shipping production ML (recommendation systems, personalization, and LLM platforms) at Capital One, Chime, Walmart, and RealPage. Holds patents in generative AI.

Tejashree KhotInstructor

Software Development Manager

Tejashree Khot

Building backend and distributed systems for Alexa (Amazon). Led LLM-powered API orchestration, connecting large language models to 200+ APIs.

Ahmed AbouzeidInstructor

Sr. Manager, Software Development

Ahmed Abouzeid

15+ years shipping distributed systems, platform infrastructure, and GenAI-powered experiences at massive scale across AWS and Amazon.

Pedro PerdigonInstructor

Professor, Tecnológico de Monterrey (CDMX); Researcher

Pedro Perdigon

Professor at Tecnológico de Monterrey and researcher at CINVESTAV-IPN, with 10+ years integrating AI, data analytics, and competency-based learning across university and industry projects.

Dr. Zeerak HaiderCareer Coach

Dr. Zeerak Haider

Ph.D. in Health and Human Performance from the University of Florida, with eight years directing student life at a medical school and building its DEI, wellness, mentorship, and career-success programs.

Ernesto AvilesInstructor

Senior Software Developer

Ernesto Aviles

Built React components behind Twilio's documentation migration. Trained LLMs on coding capability in JavaScript, TypeScript, and Python.

Francesca OgilvieCareer Coach

Francesca Ogilvie

Coordinated graduate recruitment at Deloitte and DLA Piper, delivering 40+ assessment centers and leading the shift to virtual selection.

Monica BenczeCareer Coach

Monica Bencze

Recruited for Google, running the full candidate lifecycle. Founder of a career practice focused on technology careers, with a Master's in Clinical Psychology. 19 years in recruitment and coaching.

Rodrigo SilvaInstructor

Systems Developer

Rodrigo Silva

Built LLM-powered legal software with LangChain agents and chains, handling tokenization and messaging on AWS. Backend-focused developer.

Alexander GordilloCareer Coach

Career Coach & Data Science Professional

Alexander Gordillo

Ex-Senior Forecasting Analyst at 451 Research, modeling mobile commerce and mobile broadband across 50+ countries for Vodafone and Telefónica.

Peter SpellmanCareer Coach

Peter Spellman

Directed the Career Development Center at Berklee College of Music for 24 years, with courses in creative entrepreneurship and career success.

Daniela RuizCareer Coach

Daniela Ruiz

Onboarded hundreds of customers onto MURAL's collaboration platform and built the team-enablement playbook behind the role. Coached 800+ students into tech careers.

Build real-world projects. Ship production-grade systems.

AI & ML Engineering

Machine learning to stop cyberbots

Partner:Besample

Description

Besample's platform was experiencing a cyberbot attack. Students analyzed user data to determine bot behavior and activity. They also built machine learning models to predict possible bot activity in user data.

Tools
PythonJiraGithubSeleniumPostmanPytest
UX/UI Design • AI Software Engineering

Mobile app for health tracking

Partner:Drops.care

Description

Students helped build a personal dashboard that lets users log, review, and explore diabetes-related and lifestyle data while visualizing trends over time.

Tools
ReactStorybookTailwind CSSGraphQLPostgreSQL
Data Analytics

Insurance data analysis to validate pricing

Partner:Supernova

Description

Student team analyzed insurance data to see how well pricing was working, why quotes were rejected, and how the entire quoting process performed, including reviewing AI-flagged issues.

Tools
ExcelGoogle SheetsSQLPythonPandasNumPyTableauPower BIGoogle SlidesPowerPoint
AI Software Engineering • UX/UI Design

A crypto wallet system to recover lost access

Partner:MU Methods

Description

TripleTen students designed and implemented a mobile-friendly React dashboard that enabled users to manage their crypto identity and accounts on the network.

Tools
ReactStorybookMaterial UI (MUI)
AI & ML Engineering

Predicting telecom customer churn

Description

Students built a machine-learning model to predict telecom customer churn. Analyzed customer, account-service and contract data, prepared the data, compared multiple models and selected the strongest performer. The final model identifies customers at risk of leaving.

Tools
PythonPandasNumPyscikit-learnMatplotlibSeabornJupyter Notebook
AI & ML Engineering

Packaging a trained model into a one-command Docker container

Description

Students designed a complete machine learning deployment pipeline using Docker: trained a random-forest classifier, served predictions through a FastAPI app with single and batch endpoints, then containerized the workflow and published it to Docker Hub so anyone can run it with one command.

Tools
PythonPandasNumPyscikit-learnFastAPIjoblibDockerDocker Hub
QA Engineering

Manual and automated testing for BPM platform

Partner:TaskTrain

Description

Students conducted exploratory testing, reported bugs, and built manual and automated test cases for a Business Process Management platform. Students also improved test reliability by refactoring automation and setting up CI/CD pipelines.

Tools
Google SheetsJiraGithubVSCode
AI & ML Engineering • Data Analytics

Forecasting global video-game sales

Description

Forecast-driven analysis of global game performance across platforms, genres, and regions to inform Ice's 2017 advertising strategy.

Tools
PythonGitHubSQLPandasNumPyMatplotlibSeabornSciPy
AI & ML Engineering • Data Analytics

Classifying movie reviews by sentiment

Description

Built a machine learning approach to filter and categorize user-generated content in communities: trained a model to classify movie reviews as positive or negative, compared several models, then tested them on new reviews.

Tools
PythonPandasNumPyMatplotlibSeabornscikit-learnBERTJupyter Notebook
AI & ML Engineering • Data Analytics

A Tableau dashboard for returned orders

Description

Analyzed why a retailer's customers kept returning orders and built an interactive Tableau dashboard that walks the Superstore CEO through the causes and what to do about them.

Tools
ExcelTableau

Learn, study, build, connect: all in one place.

Video, text, and hands-on practice in every lesson

Dot, the AI Learning Assistant, offers personalized hints

Group office hours, 1-1s with instructors, and interview practice

12pm–1pmGroup Office Hours
Abygayle
1pm–2pmMock HR interview
Francheska
2pm–3pm1-1 with instructor
Mohamed
6pm–12pmMock tech interview
Dr. Gönen Eren

Integrated right into the platform:

  • Jupyter Notebook
  • Python IDE
  • HTML, JavaScript, CSS IDE
  • SQL IDE
  • Google Spreadsheets

Access to:

  • CloudShare
  • AWS Labs by Codio
  • Figma and FigJam
  • Nebius Token Factory

All tools depend on selected program

Job board and lifetime career guidance

Cybersecurity AnalystOpenAI
CV sent
AI Emerging Risks AnalystSpotify
Interview
FedRAMP Cybersecurity AnalystMotorola
CV sent

Only at TripleTen

Lifelong access to program updates

We update our curriculum once a month and you always will have access to these updates.

Get through each round of the hiring process

HR interview, take-home assignment, technical interview. You prep for each stage as you reach it, with your career coach or your instructor.

Get work experience while you study

Students have the opportunity to work on projects for employer partners.

Join a network of 7,500+ alumni worldwide

QuestionLinear Regression Model Training Time
3512
QuestionSDA—Hypothesis on equality of means of paired sample
125
QuestionSprint 8: Vulnerability Exploitation
218

Meet our grads

Keith RobinsonAI & Machine Learning Graduate
NowSenior AML Data Science Analyst at Citibank
BeforeManagement Consultant
Julia Porrino
+86%salary increase
Julia PorrinoAI & Machine Learning Graduate
NowSemantic Data Scientist at JPMorgan Chase
BeforeQuality Assurance Specialist
Bill SamboyQuality Assurance Graduate
NowData Center Ops Engineer at Amazon Web Services
BeforeLineman
Marina Sakimoto
+62%salary increase
Marina SakimotoUX/UI Design Graduate
NowUX/UI Designer
BeforeMarketing Content Manager
Chuks OkoliAI & Machine Learning Graduate
NowSoftware Engineer at Google
BeforeMachine Learning Engineer
Lidia Jimeno Harvey
+17%salary increase
Lidia Jimeno HarveyData Analytics Graduate
NowSenior Associate Data Analyst
BeforeUI/UX Designer
Jessica Powers
+61%salary increase
Jessica PowersQuality Assurance Graduate
NowAI Research Analyst
BeforeCustomer Service Representative
Gor MikayelyanAI & Machine Learning Graduate
NowBusiness Intelligence Engineer at Amazon
BeforeLogistics Analyst
Demetrus SimmonsQuality Assurance Graduate
NowSoftware Engineer in Test at Microsoft
BeforeConstruction Worker
Joshua Norfolk
+100%salary increase
Joshua NorfolkAI & Machine Learning Graduate
NowForward Deployed Engineer at Appen
BeforeStrategic Projects Lead
Justin AutzData Analytics Graduate
NowSenior Strategy Analyst at Kohl's
BeforeHerpetologist
Saw Simon LinnAI Software Engineering Graduate
NowAI Software Engineer
BeforeChef
Connie ChuangData Analytics Graduate
NowProcurement Agent at Boeing
BeforeAssociate Manager
Max SidoliCybersecurity Graduate
NowData Center Operations Engineer at Bloomberg
BeforeInformation Technology Support Technician
Tyler YimAI Automation Graduate
NowGTM AI Specialist & Global SDR Manager at Sigma360
BeforeCareer Coach
Moayad ElfragabiCybersecurity Graduate
NowCyber Security Analyst at Royal Embassy
BeforeSystem Administrator

Repeatedly recognized and highly rated

Highly rated 6 years in a row

4.7/5

Rigorous curriculum, with academic partner:

Exclusive curated content from:

  • Career Karma: Best Data Science Bootcamps 2026
  • Course Report: Best AI/ML Bootcamp 2026
  • Fortune: Best Data Science and Analytics Bootcamps
  • Course Report: Best Data Science Bootcamp 2025
  • Intelligent: Best Online Data Science Bootcamps 2023
  • Career Karma: Best Data Analytics Bootcamps 2024
  • Career Karma: Best Cyber Security Bootcamps 2025
  • Course Report: Best Cyber Security Bootcamp 2026
  • IT Career Finder: Best Software Engineering Bootcamps 2024
  • SwitchUp: Best Bootcamps 2025
  • Career Karma: Best Coding Bootcamps 2026
  • Course Report: Best Coding Bootcamp 2026
  • Career Karma: Best Online Coding Bootcamps 2026
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  • Career Karma: Best Part Time Bootcamps 2025
  • Course Report: Best QA Testing Bootcamp 2025

Our story

2020
2021
2022
2024
2025
2026

Launch

March 2020: TripleTen launches publicly on Product Hunt—ranked #3 Product of the Day.

First program

First alumni

Three programs are live. TripleTen is included in the Best Online Bootcamp rankings by CourseReport.

New programs

200alumni

International expansion

Launched in Latin America and Brazil with Data Analytics, Data Science and Quality Assurance programs.

New program

1.5Kalumni

Nebius partnership

TripleTen becomes a part of Nebius Group, a global leader in AI infrastructure working with Meta, Nvidia and Microsoft.

New program

3.4Kalumni

The AI shift

TripleTen integrates AI skills and toolsets into every program to reflect employers' need for AI-ready professionals.

New programs

7.5Kalumni

From tech bootcamp to AI career learning platform

TripleTen evolves to be an AI career learning platform for both tech professionals and beginners to close the gap for AI-ready roles.

New program

Calculating alumni number...

Read about us
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Frequently asked questions

What does TripleTen do?

TripleTen is a professional education platform that trains adults for tech and AI roles as AI reshapes the job market. It runs eight online, part-time programs in three groups: advanced programs for tech professionals, career growth programs for business professionals, and tech programs for complete beginners. In every program, you learn to use AI tools on the job through projects that working professionals review.

Which TripleTen program fits my experience?

TripleTen programs are built for three starting points:

Programs for tech professionals: AI Systems Engineering and AI & Machine Learning are for software, data, QA, and DevOps engineers with 2+ years of production experience who use AI but don't yet build AI systems. They want to move up to senior, staff, or architect roles in AI, often after a failed system design round or job postings that ask for AI experience they don't have.

Programs for business professionals: AI Transformation Management, AI Business Analytics, and AI Agents & Automation are for professionals with 2+ years in finance, accounting, analytics, operations, projects, or HR who see AI taking over part of their work, such as reports, summaries, and research. They want to move into an AI role where their experience still counts, without starting over or losing income.

Programs for complete beginners: AI Software Engineering, Cybersecurity, and Quality Assurance (QA) are for career switchers with no tech background who want their first tech role, usually while working full-time.

How does TripleTen teach?

TripleTen teaches through projects: you learn a concept in short lessons, apply it in a project, and get feedback from working professionals before you move on. The project format depends on the program group:

Programs for complete beginners: two-week sprints, each ending with a reviewed project, plus Code Jams and externship projects.

Programs for business professionals: four projects in a virtual company built from real business cases, ending with a capstone review in front of a manager who hires for similar roles.

Programs for tech professionals: one production AI system built across five projects, each presented in a live review with working engineers.

Is TripleTen good for experienced engineers?

Yes. The programs for tech professionals are designed for engineers with 2+ years of recent production experience and assume you already ship code. You work in a production-style codebase, submit pull requests, and each project is more independent than the last, ending with one that starts from only a business request. Instructors are working engineers with experience at companies such as Amazon, Microsoft, and Capital One.

Is TripleTen worth it for upskilling into an AI role?

Yes, if you have 2+ years of experience to build on. The programs for business professionals take 21 weeks at 10–12 hours a week and start with a Week 0 assessment that shows which requirements of your target AI role you already meet. You keep your industry and background and add AI skills: building agents, automating processes, and measuring the results.

What job-search support do TripleTen graduates get?

Every TripleTen program includes a career coach, résumé and LinkedIn work, and interview practice, plus a job board with 300+ new openings daily. Among employed TripleTen graduates, 49% credit career coaching and 41% credit interview preparation for their success.

Do employers recognize TripleTen certificates?

A TripleTen certificate shows employers that you completed a program of projects reviewed by working professionals, and your portfolio shows what you can do. Cybersecurity graduates also earn the CompTIA Security+ certification, which security job postings often require.

TripleTen graduates work at companies including Google, JPMorgan Chase, and ThreatLocker.

How is TripleTen different from Coursera, DeepLearning.AI, or university AI certificates?

The main difference is review and support. Coursera and DeepLearning.AI courses are mostly self-paced videos and assignments, and university certificate programs are usually lecture-based. In TripleTen programs, working professionals mentor you and review every project, you build a portfolio for one target role, and career coaching is included.

How has TripleTen changed since its bootcamp days?

In 2026, TripleTen added programs for people who already have a career: two advanced programs for engineers and three career growth programs for business professionals. All eight programs now teach AI as part of the work, and the three programs for complete beginners still take career switchers from zero to a first tech role.

Is TripleTen an AI degree program?

TripleTen is an alternative to an AI degree: programs take 4–7 months part-time and cost a fraction of a degree.

TripleTen doesn't grant degrees; graduates receive a certificate of completion.

Who owns TripleTen?

TripleTen is a part of Nebius Group, a global leader in AI infrastructure, with partnerships including Nvidia and Microsoft. Nebius employs 800+ world-class engineers building the future of AI.