Lee M.
Data Analyst at Astreya
Before 365: Lab technician at CDPHE
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The #1 most reviewed AI and data science courses on Trustpilot.
Lee M.
Data Analyst at Astreya
Before 365: Lab technician at CDPHE
Serhan T.
Data analyst at State farm
Before 365: Researcher at Wellesley college
Pedro C.
Data Manager at NIBOL Ltda
Before 365: Industrial Engineer at NIBOL Ltda
Yolibeth C.
Digital strategy and marketing analyst at Laboratorio Vida y Salud
Before 365: Business development representative
James G.
Data Scientist at ClearWatt
Before 365: Technical Engineer at GI Energy
Nada A.
Senior Data Engineer at VOIS
Before 365: Software Tester at Testing Geeks
Tsiory R.
Junior marketing research officer at Nutreco
Before 365: Business development intern at Connecteo Madagascar
Issa G.
Product manager at Oreed
Before 365: Customer success manager at Virtual Medical Academy
Lifang K.
BI Analyst at Marken
Before 365: Volunteer Management Analyst at American Red Cross
Megan V.
Director, Translational Medicine and Data Management at KaliVir Immunotherapeutics
Before 365: Medical scientist at Triumvira Ummonologics
Marcel A.
Business Operations Analyst
Before 365: English teacher
Tomasz Z.
Business Analyst Developer at Lincoln Electric EMEA
Before 365: Freelance research analyst
Arowosegbe I.
Lab program associate at APIN Public Health Initiatives
Before 365: Medical Lab Scientist at APIN Public Health Initiatives
Chanh T.
Data scientist at TranSwap
Before 365: Lecturer at HUTEC
Melina Á.
Data Analyst at TELUS Digital
Before 365: Designer at UAM Universidad Autónoma Metropolitana
M K Junayed P.
Assistant Manager (Analyst) at Green Delta Insurance PLC
Before 365: Product development at Bikroy
Julián E.
Data Engineer at Schneider
Before 365: Valuations Specialist at Corum Group Ltd.
Viachaslau K.
Senior data scientist at Covtec
Before 365: Head of antenna and microwave department at BSUIR
Matt M.
Compliance Analyst at Movement Mortgage
Before 365: Mortgage Loan Officer at Movement Mortgage
Ernest A.
Data Insights Analytics Cloud Engineer at Amazon Web Services (AWS)
Before 365: Field Researcher at IDInsight
Desislava H.
Technical associate at Client X Ltd.
Before 365: Telephone agent at Client X Ltd.
Siddhant G.
Business analyst at Meesho
Before 365: Store sales internship at iNeuron
Shreshth V.
Marketing Chief at TEDxNSUT
Before 365: Business Analyst at Junglee Games
Rabab A.
Freelance data analyst
Before 365: Project coordinator
Ahmed H.
Freelance Data & BI Consultant
Before 365: Head of Accounting
Kristiyan Y.
Data Engineer at DSK Bank
Before 365: Payments Agent
Yuvraj D.
ML Engineer at PERFACCT GmbH
Before 365: Research analyst at KIIT University
Tamizhazhagan M.
Product support engineer at TD Synnex
Before 365: Project associate at Telstra
Siriwat N.
Data analyst at CJ More
Before 365: Business process at Osotspa Ltd.
Eugene G.
Logistics analyst at Expeditors
Before 365: Environmental science at Ecological Nest
Ramya M.
Data Science Technical Trainer at KGiSL MicroCollege
Before 365: Facilitator at Freadom
Basilio C.
Manager CBM/CVM at Orange Bissau
Before 365: Data clerk at Public Health Institute
We believe in backing up our credibility statements with real data. To better explain to prospective learners how to get a job in AI, we analyzed the enrollment activity and LinkedIn profiles of 500 of our most engaged learners.
AI engineer
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Senior data scientist
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Senior data analyst
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Data analyst
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Data scientist
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ML scientist
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Data engineer
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Business analyst
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Tableau developer
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Power BI developer
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What sets 365 Data Science apart isn’t just the content—it’s the way we guide our learners through a smooth transition into AI and data science. The STEP™ method positions us as one of the best AI bootcamps, where we foster sustainable pacing with daily mentor support. All this—with the added flexibility—makes for the great things our graduates achieve.
Support
Get expert mentorship at every step.
We show you how to get a job in AI without a degree. You receive a learning plan tailored to your background, goals, and schedule. Stay on track with regular mentor check-ins, progress discussions, and feedback from AI and data science instructors.
Training
Learn what matters—no filler, no fluff.
Our AI Bootcamp helps you get hired quickly. We let you step into the field with hands-on experience through exercises and live workshops, then prove your expertise with an accredited AI bootcamp certificate.
Experience
Practice beyond the lessons.
Many begin by asking us how to get a job in AI—especially with no background. We help individuals break free from the “need experience to get experience” cycle by providing hands-on exposure. You’ll be a step ahead with AI and data science projects and an industry internship—even before you start applying for a job.
Positioning
AI careers are attainable with the help of an expert.
Work with your mentor to refine your AI and data science resume, LinkedIn profile, and interview skills, positioning yourself as an expert.
How to get a job in AI
FAST
Many people wonder how to get into AI and data science smoothly.
9/10 of our learners started right where you are.
Our team of certified experts created a beginner-friendly AI bootcamp with added flexibility—designed for busy lives.
No IT or STEM background required
Guarantee: a job or your money back
Mentor-led career services
Need help finding what you're looking for? Visit the 365 Data Science Help Center page or contact us directly.
The 365 Data Science Bootcamp helps you land a data science or AI job in under a year—with a 100% job guarantee. You’ll learn online and build your portfolio over 5 to 9 months—depending on whether you choose the full-time or part-time AI and data science bootcamp. After completing the program, you get 3 months of personalized career coaching, mock interviews, an internship, and job search support. If you don’t get hired within those 3 months, you get a full refund. Learn more about the requirements in our Terms of Use.
Applying to the 365 Data Science Bootcamp is simple. First, book a short call with one of our mentors. We’ll discuss your background, goals, and schedule to determine which AI and data science bootcamp is the right fit for you. If accepted, you’ll receive a personalized learning plan for your desired role and can start with the next cohort. New dates are available every month.
An AI and data science bootcamp with job placement support offers help with your resume, interview prep, networking, and career coaching—but it doesn’t guarantee a specific outcome. In contrast, AI and data science bootcamps—which offer a job guarantee—promise a precise result. If you don’t secure a job within a set timeframe after graduation, you receive a tuition refund.
The 365 Data Science Bootcamp includes a job guarantee and job search support. As part of the job preparation, every learner completes a real-world internship with one of our partner companies—adding work experience, portfolio projects, and references before even applying. If you don’t land an AI or data science job within 3 months of graduating, you get your tuition back—while keeping the skills, certifications, and experience gained.
Breaking into AI without prior experience is challenging—but entirely achievable. Begin by establishing a solid foundation in math, statistics, and Python. From there, explore applied topics like data analysis, machine learning, and deep learning. Machine learning and AI projects and competitions can help you bridge the gap and make your profile job-ready.
While degrees and online AI courses can teach theory, they rarely offer practical experience. That’s why AI bootcamps are the best and fastest way to break into the field. The 365 Data Science Bootcamp is explicitly designed for beginners—no prior IT or STEM background is required. It takes you from fundamentals to job-ready with a step-by-step curriculum, live workshops, portfolio projects, career coaching, an internship at a company, and a job guarantee.
It depends on your background. If you already have a foundation in programming, math, or data science, you can make solid progress in AI within 3 months. For complete beginners, it typically takes 6 to 12 months to become job-ready.
That’s why the 365 Data Science Bootcamp consists of two parts: 5 to 9 months of AI training (full-time or part-time), followed by a 3-month career support phase with job search assistance, an internship, and a job guarantee. Ultimately, you learn AI and land a job in 9 to 12 months—or get your tuition back.
An AI certificate can be valuable if it equips you with in-demand skills and demonstrates your ability to apply them in real-world settings. However, not all certificates are equally respected, and employers often value hands-on experience and job readiness more than credentials alone.
The 365 Data Science Bootcamp offers an accredited AI certificate with CPE credits, enhancing its professional value. Beyond AI bootcamp certification, the program provides hands-on training, portfolio projects, career coaching, an internship, and a job guarantee. This combination ensures that AI and data science bootcamp graduates not only earn a certificate but also gain the practical experience and skills necessary to get hired.
AI bootcamps can be worthwhile if they provide structured, hands-on training, career support, and a clear path to employment. Many people choose bootcamps over traditional degrees because they offer faster, more focused learning tailored to in-demand AI roles.
The 365 Data Science bootcamp goes a step further—with 1:1 mentorship, internship, and a job guarantee. It’s designed not only to teach you AI but also to provide the experience and support needed to land a job—or a full refund.
Yes, you can become a data scientist through a bootcamp. While a traditional four-year degree can be beneficial, data science bootcamps offer a faster and more focused path. A well-structured program equips you with essential skills in programming, statistics, machine learning, and data visualization—and prepares you to land a job in under a year.
The 365 Data Science bootcamp is designed to do precisely that. You’ll master in-demand data science skills in 5–9 months (with full-time or part-time options), then spend 3 months working with career coaches, refining your resume and portfolio, preparing for interviews, and completing a real internship. As a data science bootcamp with a job guarantee, it ensures you land a role—or get your tuition back.
Yes, whether you're starting from scratch or changing careers, you can become a data scientist in under a year. Those with a background in computer science, math, or statistics may progress more quickly, but even complete beginners can succeed with the proper structure and support. A well-organized online data science bootcamp can significantly accelerate your training.
The 365 Data Science Bootcamp equips you with in-demand data science skills—Python, statistics, machine learning, SQL, and data visualization—through expert-led training, workshops, and hands-on projects in 5 to 9 months. The program continues with 3 months of career coaching, internship, and job search support. And if you don’t land a data scientist role within that timeframe, you get a full refund.
No, 30 is not too late to become a data scientist. In fact, career change at 30 and 40 is common in the data science field. Many successful data scientists bring prior experience from industries like business, finance, or operations—which adds valuable domain knowledge and helps them solve real-world problems with data.
Most of our learners at 365 Data Science change careers after 30, often with no prior background in tech. Our Data Science Bootcamp is designed to guide you step by step, from learning Python and statistics to building a portfolio, completing an internship, and landing a job. With the proper support, age becomes an asset—not a barrier.
Yes, data science bootcamps can be worthwhile—especially those that offer a job guarantee. Unlike traditional degrees, they focus on job-relevant skills, helping learners transition into the field more quickly.
The 365 Data Science Bootcamp offers a personalized learning program with expert-led courses, workshops, and data science projects, enabling you to master the skills needed to land a job in 5 to 9 months (full-time and part-time options available). At the end of the AI and Data Science Bootcamp training, you’ll receive 3 months of career coaching, resume, LinkedIn, and portfolio advice, interview prep, and job search guidance. If you don’t get a data science job within that time, you’ll get a full refund.