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Machine Learning Bootcamp: Become a ML Engineer in 6 months. Job Guaranteed.
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Structured to fit into your life, guaranteed to get you a job
Learn at your own pace with 1-on-1 mentorship from industry experts and support
from student advisors and career coaches.
Unlimited 1:1 mentor support
Meet weekly with your personal mentor, with as many additional calls as you need.
Hands-on experience
Master machine learning algorithms through hands-on projects.
Career support & job guarantee
Get a job as a machine learning engineer within 6 months of graduating.
A unique approach to a machine learning curriculum
Knowing machine learning and deep learning concepts is important but not enough to get you hired. According to hiring managers, most job seekers lack the production engineering skills to perform the job.
We teach what hiring managers look for
More than 50% of the Springboard curriculum is focused on production engineering skills. In this course, you'll design a machine learning/deep learning system, build a prototype and deploy a running application that can be accessed via API or web service. No other bootcamp does this.
What you'll learn
The curriculum is split into 11 units covering the topics below.
Estimated time: 30 hours
Throughout this course, you’ll be introduced to a variety of tools and libraries that are used in the data science and machine learning world. These include everything from ML libraries to deployment tools. There will also be refreshers on software engineering best practices and foundational math concepts that every ML Engineer should know.
The Python Data Science Stack: Pandas, scikit-learn, Keras, TensorFlow
Data engineering tools: Spark/PySpark, Luigi, Containers, AWS
Software engineering tools: Continuous integration, version control with Git, logging, testing, and debugging
Data structures and algorithms refresher and optimizing Python to write faster code
Request a detailed syllabus
Build a realistic, complete, ML application
In addition to small projects designed to reinforce specific technical concepts, you’ll build a realistic, complete, ML application that’s available to use via an API, a web service or, optionally, a website.
While working on the projects, you'll:
Collect, wrangle, and explore project-relevant data
Build a machine learning or deep learning prototype
Scale your prototype
Design deployment solutions and deploy your application to production
Work 1:1 with a mentor
Mentor-guided learning not only helps you build skills faster, but also enables career growth.
1:1 mentorship
Have weekly guided calls with your personal mentor, an industry expert.
Accountability
Your mentor will help you stay on track and as you tackle your goals.
Unlimited mentor calls
Get additional 1:1 help from a mentor from our community, at no extra cost.
Springboard students in the Machine Learning Engineering Career Track have a lot of support – mentors can answer questions,TAs are available, and they have Unlimited Mentor Calls where students can reach any number of mentors. If you’re working on a homework assignment or mini project and are really stuck, you can easily contact a mentor for help.
Srdjan Santic
Machine Learning Engineering mentor at Springboard
Daniel Carroll
Principal Data Scientist
Farrukhu Ali
Sr. Machine Learning Eng.
Artem Yankov
Senior Data Scientist
Zeehasham Rasheed
Senior Data Scientist
Get the perfect job with unlimited 1:1 career coaching
Career-focused course material is paired with personal coaching calls to help you land your dream job. You’ll have 6 scheduled calls, with unlimited access to more. And full career support continues for 6 months after completing the program.
Your career coaching calls will help you:
Create a successful job search strategy
Build your Machine Learning Engineering network
Find the right job titles and companies
Craft an Machine Learning Engineer resume and LinkedIn profile
Ace the job interview
Negotiate your salary
Since Springboard, I've really blended my passion into my work. I got a job on an advanced analytics team.
Lou Zhang
Data Scientist, MachineMetrics
Springboard graduates were hired by...
Springboard student outcomes for Data Science
1,730+
Total students
who have enrolled in the Data Science Career Track since its launch in 2016
1
Job Guarantee Refund
among 211 eligible students who have completed the 6-month job search period
$25.7k+
Average salary increase
from students who provided pre- and post-course salaries through October 1, 2019
Is this program right for me?
This Machine Learning bootcamp is designed for people with strong software engineering skills and industry experience, who want to become Machine Learning Engineers.
Prerequisites
At least one year of software engineering industry experience using a general purpose Object-oriented programming language, such as Python, Java and C++.
If you do not have industry software experience, 1-2 years on-the-job coding experience in graduate school, a bachelor’s program or on open-source projects may meet the requirements.
Need more prep?
Get an introduction to, or a refresher in, Python programming or core data science concepts.
The Admissions Process
1
Submit your application
2
Pass the challenge
3
Join the program
Fill out our application form to get started. There is no application fee. It takes about 10-15 minutes. You should expect a reply in 2-3 business days.
Course start dates
The Machine Learning Bootcamp is a 6-month program. Most students devote 15-20 hours a week to complete the course.
The next cohort starts
Feb 3, 2020
Deadline for applications
Jan 23, 2020
Tuition
The full tuition of the program is $8,940. If you pay upfront, you will get an 11% discount. Remember, if you don’t get a job within 6 months of completion, you’ll receive a full refund.
Scholarship eligibility: Are you a woman or a veteran?
Upfront discount
Pay upfront and save $1000 on tuition
$8940 $7,940
Month to month
Pay only for the months you need, up to 6 months.
$1,490
/mo
Total: Up to $8,940
Climb Credit loan
Finance your education with low monthly payments
$52-$103
*/mo
Total: $10,659 - $12,022*
New
Meet a few of our Springboard alumni
See how Springboard Compares
We're the only bootcamp that teaches you production engineering skills (50-100% of the ML engineer role) and offer a job guarantee. You'll build job ready skills with 1:1 mentoring from industry machine learning engineers.
Online or
offline
offline
ML/DL
algorithms
algorithms
Production
engineering
engineering
1:1
Mentoring
Mentoring
Job
Guarantee
Guarantee
Springboard ML
Engineering Career Track
Engineering Career Track
Online or
offline Online
offline Online
ML/DL
algorithms
algorithms
Production
engineering
engineering
1:1
Mentoring
Mentoring
Job
Guarantee
Guarantee
Coursera - Deep Learning
Specialization
Specialization
Online or
offline Online
offline Online
ML/DL
algorithms
algorithms
Production
engineering
engineering
1:1
Mentoring
Mentoring
Job
Guarantee
Guarantee
Metis - Learning and Artificial
Intelligence Principles
Intelligence Principles
Online or
offline Online or offline
offline Online or offline
ML/DL
algorithms
algorithms
Production
engineering
engineering
1:1
Mentoring
Mentoring
Job
Guarantee
Guarantee
Masters Program
Online or
offline Online or offline
offline Online or offline
ML/DL
algorithms
algorithms
Production
engineering
engineering
1:1
Mentoring
Mentoring
Job
Guarantee
Guarantee
Apply for the Machine Learning Engineering Career Track
Secure your spot now. Spots are limited, and we accept qualified applicants on a first come, first served basis.
The application is free and takes just 10-15 minutes to complete.
500+ hour expert-curated curriculum
Weekly video calls with your mentor
Unlimited additional 1:1 mentor support
Active online student community
Support from community managers
Unlimited career coach calls
Unlimited resume and portfolio reviews
1-on-1 mock interviews
Access to our employer network
100% money-back guarantee
Frequently Asked Questions
The Data Science Career Track prepares you for a career as a Data Scientist, where you’ll analyze data and create ML prototypes to drive business insights. You’ll build a prototype to solve a problem as part of your capstone project. The course is for people who have some stats or programming background.
The Machine Learning Engineering Career Track prepares you for a career as a Machine Learning Engineer, where you’ll build and deploy ML prototypes at scale. You’ll deploy a real large scale API that can be assessed via API or a website as part of your capstone project. The course is for software engineers who want to work in machine learning.
A career transition into Machine Learning Engineering is exciting, but involves focused and consistent effort. We are thrilled to have your back in this journey and ask for an equal commitment from you. In order to be eligible for this job guarantee, you should:
- be 18 years or older.
- hold a Bachelor’s degree from any educational institution in any subject, which is still a requirement by most employers for these roles.
- be able to demonstrate coding experience with at least one of the following: a software engineering degree OR at least 1 year of work experience in software engineering.
- be proficient in spoken and written English, as determined by initial interactions with our Admissions team
- Be eligible to legally work in the United States, or in Canada if applying for positions in Toronto, for at least 2 years following graduation from the Career Track. See the detailed policy for further requirements about specific Visa types
- be able to pass any background checks associated with jobs that you apply for
- apply to at least 4 positions per week and network with at least 3 contacts per week during the job search period, dedicate sufficient time and effort to your search, respond promptly to all communications from career coaches, and follow the job search process recommended to you by the Springboard career coaches.
Read the full eligibility criteria and terms here.
There are two payment options:
- Monthly Plan: You pay $1490 per month, only for the month's you're enrolled (most students complete within 6 months).
- Upfront payment: You pay $7,940 upfront for 6 months. This is a 11% discount on the monthly plan.
We also offer a low-interest financing option for eligible students: Climb Credit loan
- Available by application to qualifying US citizens and permanent residents. If you are not a US citizen or permanent resident, you can still apply for financing with a fully qualifying co-borrower who is a citizen or permanent resident - as long as you both have a US address.
- If approved, you pay $500 deposit to confirm your seat. You can finance the remaining $8,440 through a loan. You’ll make small interest-only payments for the first 6 months ($52-103/mo). After that, you will pay 36 monthly payments of $274-303 each. Learn more here
- Please note: lending might not be available in all 50 states - click here for the current full lending list.
Yes! Finance your tuition with a loan from our partner Climb Credit. If approved, you'll make low interest-only payments while enrolled ($52-103/mo), and upon completion of the course, pay 36 monthly payments of $274-303 each. Learn about the application process on Climb Credit's website here.
More questions? Reach out to Fabiola, our Admissions Advisor at MECinquiry@springboard.com. She’s happy to help!