SIX MONTHS •ONLINE •LIVE 1:1 MENTORSHIP •CAREER-FOCUSED
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.
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.
Our machine learning training will teach you the following skills: linear and logistical regression, anomaly detection, cleaning and transforming data.
We partnered with industry insiders, so you can learn the skills that employers look for. The 500+ hour curriculum features a combination of videos, articles, hands-on projects, and career-related coursework.
We’ll teach you the most in-demand ML models and algorithms you’ll need to know to succeed as an Machine Learning Engineer. For each model, you will learn how it works conceptually first, then the applied mathematics necessary to implement it, and finally learn to test and train them.
Deep learning is a school of machine learning that involves the training of self-generating neural networks, which take their inspiration from the inner workings of the human brain.
The field of Computer Vision, which focuses on image recognition and the creation of unique images, is rapidly evolving because of the wealth of image data proliferated through social media and other online sources.
Throughout this course, you’ll be introduced to a variety of tools and libraries that are used in both data science and machine learning. These include everything from ML libraries to deployment tools.
Machine learning at scale and in production is an entirely different beast than training a model in Jupyter notebook. When you’re working at scale, there are a host of problems that can disrupt your model and its performance.
It can take over a month to properly deploy a model, and most other machine learning courses do not focus on deployment, which is a much desired skill in the workplace.
Data is the fuel of machine learning. A critical part of every machine learning engineer’s job is collecting, cleaning, processing, and transforming data. Without quality data, you can’t get quality insights.
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Our career-focused curriculum, 1:1 calls with your career coach, and mock interviews, will help you land your dream job. You can access these and all our career support services for 6 months after completing the program.
This Machine Learning bootcamp is designed for people with strong software engineering skills and industry experience, who want to become Machine Learning Engineers.
The Machine Learning Bootcamp is a 6-month program. Most students devote 15-20 hours a week to complete the course.
The full tuition of the program is $11,280. 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. See job guarantee eligibility terms
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.
Secure your spot now. Spots are limited, and we accept qualified applicants on a first come, first served basis.
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:
Read the full eligibility criteria and terms here.
There are 4 payment options (all of which come with our job guarantee as long as you meet eligibility requirements). Our two standard payment plans are:
In addition, we have 2 other payment options. These are 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.
All charges will be in USD (based on the above prices). If you reside outside the U.S., this might carry an additional transaction fee, depending on the bank you use. We display prices in your local currency to give you an estimate of how much you will pay based on prevailing exchange rates, excluding transaction fees.
Yes! Finance your tuition with a loan from our partner Climb Credit. If approved, you'll make low interest-only payments while enrolled ($66-$132/mo), and upon completion of the course, pay 36 monthly payments of $349-$387 each. Learn about the application process on Climb Credit's website here.
We do also have a Deferred Tuition payment plan through Ascent. With this payment plan, you can pay an initial upfront deposit ($700) and then not pay anything else until you graduate. This option is not subject to interest on payment––you will owe a flat fee of $14,800 ($15,500 - your deposit) once you get a job. This fee will also be broken up into monthly payment of $328/month over 36 months.