As of 2026-10-08 the old /courses/machine-learning-engineering-career-track/ URL returns Springboard's not-found page; the program is now listed as 'Machine Learning Engineering and AI Bootcamp', co-branded with University of Arizona Continuing and Professional Education, and the partner page it links to shows 'Apply by: To be announced' with no published tuition. source
Springboard's ML track is now a 9-month, mentor-led, self-paced 'Machine Learning Engineering and AI Bootcamp' co-branded with the University of Arizona, aimed at people who can already write object-oriented code. It suits a working engineer who wants structure and a deployment-focused portfolio rather than a beginner. Before paying, get the tuition in writing (it is not published anywhere public) and read the money-back guarantee terms line by line, since the refund requires a bachelor's degree, weekly logged applications, and no full-time job outside the field during the search.
The facts
| Category | AI and machine learning |
|---|---|
| Website | springboard.com/courses/ai-machine-learning-career-track |
| Based | San Francisco, CA (online) · founded 2013 |
| Format | online-self-paced |
| Programs | Machine Learning Engineering and AI Bootcamp (9 months, 15 hrs/week, mentor-led, with University of Arizona CPE) |
| Length | 39 weeks (Springboard page says 'job-ready portfolio in 9 months'; University of Arizona partner page says 9 months at 15 hours/week. 39 weeks is 9 months converted; Springboard's payment page says monthly plans run 6 or 9 months depending on course.) verified |
| Tuition | gated: as of 2026-10-08 neither springboard.com nor the University of Arizona partner page (careerbootcamps.ce.arizona.edu) publishes tuition for this track. Course Report lists no ML course for Springboard (its Data Science Career Track is $9,900). A Nov 2021 Reddit applicant cited roughly $11K for the old MLE Career Track. unknown |
| Financing | upfront, installments, loan, scholarship Payment-options page (2026-10-08): upfront payment discount; monthly payments dividing tuition over the estimated 6 or 9 month course length; Climb Credit loans for US residents only with a small deposit, payments as low as $20/month during the program, then 33 or 36 month repayment, loan terms effective 1/29/26; full refund within the first 7 days, no refund after. Four scholarship programs (Women in Tech, Diversity in Tech, Needs-Based, Career Reboot). Money-back guarantee is 'available for select courses' and the ML/AI page carries the label; basic eligibility: 18+, legally able to work in the US (or Canada for Toronto), English proficiency, pass background checks, and a bachelor's degree (degree waiver applies only to Software Engineering, Cybersecurity and Tech Sales tracks with relevant experience). To stay eligible you must finish the curriculum on time, pass career modules, apply to a minimum number of qualifying jobs per week, network, and send weekly activity summaries. A July 2025 r/codingbootcamp UX graduate reported the track-specific terms as 4 applications/week, 7 outreach contacts/week, 2 informational interviews/month, a coach meeting every 2 weeks, and that accepting any 30+ hour/week job outside the field voids the refund. |
| Admission | basic assessment Prerequisite is proficiency in object-oriented programming (Python, Java or JavaScript); the Arizona page says a technical skills survey sets your baseline and low scorers get foundational Python units. Aimed at software engineers, data scientists, or CS/physics/math/stats graduates. |
| Stack | Python, Scikit-Learn, TensorFlow, Pandas, SQL, AWS, Docker, Kubernetes, Flask, FastAPI, AutoML |
Outcomes
Placement: 85.6% of job-qualified graduates who reported an offer received it within 12 months of graduation (all Career Tracks combined, December 2023). Reporting period: December 2023. reported source
Interview-prep depth
1 / 5
Arizona partner page lists modules (ML models, ML engineering stack, data processing, models at scale and in production, deep learning, ethics) and career coaching, but no interview-prep hours, DS&A or mock-interview detail.
Job support: structured. Site promises a personal mentor with regular 1:1 video calls, a career coach who helps 'figure out your job strategy and prepare you for interviews', 1:1 career coaching sessions, student advisor, and career modules inside the curriculum. No DS&A hours, system design, mock interview count or negotiation coaching is specified.
Whatever the program covers, the interview itself is free to prepare for here: coding patterns, system design, practice prompts, company guides.
What a careful reader should know
The Machine Learning Engineering Career Track URL now 404s and the program is marketed as 'Machine Learning Engineering and AI Bootcamp' built with University of Arizona Continuing and Professional Education; the page text also points to 'University of Massachusetts Global's School of Extended Education course page' for the syllabus, so delivery runs through university partners. The partner page shows 'Apply by: To be announced' and no tuition on 2026-10-08. Springboard's outcomes page offers per-course reports only for Data Analytics, Data Science, Software Engineering, Cybersecurity, UX and UI/UX, none for ML; the headline 85.6% figure counts only job-qualified graduates who reported an offer and is self-reported, not audited. Course Report lists no ML course at all for Springboard. Operating entity is SlideRule Labs, Inc., registered in Utah; the company has added healthcare (Medical Assistant) programs. In r/codingbootcamp during 2025 there were several threads titled 'Stay away from Springboard', 'Avoid Springboard Bootcamps' (from a self-described mentor) and a detailed account of the money-back guarantee conditions; one commenter cites California BPPE 2022 and 2023 reports showing 10 to 15% on-time completion, which this ledger has not independently verified.
Third-party signals: Course Report 4.6 (1767 reviews). Reddit sentiment negative. Graduation-time star ratings are collected by the schools; weigh them accordingly.
Disclosure: this program runs an affiliate scheme and techinterview.org may earn a commission through this link. It did not affect anything written above.
Sources (10)
- springboard.com/courses/ai-machine-learning-career-track/
- springboard.com/courses/machine-learning-engineering-career-track/
- careerbootcamps.ce.arizona.edu/programs/machine-learning-engineering-ai/
- springboard.com/how-it-works/tuition-job-guarantee/
- springboard.com/how-it-works/payment-options/
- springboard.com/outcomes/
- springboard.com/about/
- coursereport.com/schools/springboard
- reddit.com/r/codingbootcamp/comments/1luexv0/my_springboard_job_guarantee_experience_what_i/
- reddit.com/r/learnmachinelearning/comments/qx2skb/springboard_machine_learning_engineering_bootcamp/
This directory takes no lead fees or placement payments from any program. Where a program runs an affiliate scheme we say so on its page and mark the link. Facts carry a badge: verified means we read it on a primary source on the date shown, reported means a third party said it, unknown means nobody we trust has published it.
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