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Digital marketing has evolved. Have you?

Learn digital marketing with 1:1 mentoring from
industry experts

Curriculum built with and

Meet some of our world-class mentors
Real-life projects

Apply your learnings to real business cases

Career support

Get prepped to land your dream job

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4.88 of 5

Cybersecurity Career Track

Your online, self-paced, 1-to-1 mentor guided bootcamp designed to get you
certified and hired as a Software / Application Security Analyst

World class mentors that you might work with
Build an industry-ready portfolio

Gain hands on experience with Practice Labs

Career Coaching

Be job-ready to start your new role

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How Springboard prepares you for a career in machine learning

data science career
Master the latest concepts
Learn to apply machine learning and deep learning algorithms through case studies and projects.
data science career
Build and deploy a large scale application
Work on a two part capstone project to create a prototype and scale that into a working AI application that can be assessed via API or web service.
data science career
1:1 Mentorship
Get guidance from an experienced machine learning engineer as you complete your coursework, build projects, and search for a job.

We're with you every step of the way, from day one and onwards.

  • homepage-assets/career-tracks/section2-mentor.png

    Personal mentor

    Your industry insider
  • homepage-assets/career-tracks/section2-advisor.png

    Student advisor

    Your accountability friend
  • homepage-assets/career-tracks/section2-community.png

    Student community

    Your support network
  • homepage-assets/career-tracks/section2-coach.png

    Career coach

    Your career counselor

Your own mentor, focused on your success

With your weekly mentor call, you’ll get to

online ux design course mentor
Set your own agenda

Discuss weekly project deliverables, industry topics, or career advice.

online ux design course mentor
Get helpful, honest feedback

Your mentor will keep you accountable and help you master machine learning techniques.

online ux design course mentor
Be inspired by the best

As an experienced machine learning engineer, your mentor is your window to the AI world.

Meet some of our machine learning mentors

Our world-class mentors are hand-picked for their experience and love of teaching.

Curriculum - what you'll learn

Swipe left to browse chapters

Get a detailed course syllabus in e-mail:

Is this course right for me?

This AI Career Track is for:

People with strong software engineering skills and industry experience, who want to become Machine Learning Engineers.

How much prior experience is needed?

We require candidates to have academic or professional experience in software engineering.

  • Ideally, at least 1 year of professional experience in software engineering
  • If you don’t have professional software experience, 1-2 years of active, day-to-day, coding experience in graduate school, a bachelor’s program or on open-source projects may meet the requirements

    Is a bachelor's degree required?

    We don’t require a bachelor’s degree, but we highly recommend that you have the knowledge of the following topics at a college level:

    • Linear Algebra
    • Probability and Descriptive statistics
    • Calculus
    If you don’t have a degree, you are welcome to apply with the understanding that not having a degree may be a barrier to landing certain roles. All students receive comprehensive career support, regardless of degree level.

    Not sure if your background is a fit?

    Write to us at nicole@springboard.com. Nicole, our Admissions Manager will help you think through the decision.

    Prefer a phone call?

    Schedule a call with Nicole instead!

    Don’t have the required background?

    Check out our or our Data Science Career Track or our Introduction to Data Science course

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    Schedule

    The next cohort starts:

    February 4, 2019

    Deadline for applications is Jan 23, 2019. That's in:

    35 Days 4 Hours

    The AI/Machine Learning Engineer Career Track is an intensive online program. We estimate the total effort required at 400 hours. Students will need to devote 15-20 hours per week to complete the course in 6 months.

    Start Application

    It is free to apply and takes only 10-15 minutes.

    Payment Options

    • Paid at the time of enrollment

    • Monthly payments during course

    • Monthly payments after course

    • Total cost

    Upfront
    $7,500 4,500

    Pay upfront and save
    on tuition

    Apply now

    Month to month
    $1,490 900 /month

    Pay as you go, only for
    the months you need

    Apply now

    Climb Credit loan
    24-49 /month

    Finance your education with low monthly
    payments

    Learn more

    * range varies based on approved
    interest rate

    To read the terms of the job guarantee, head to the FAQ below.

    The Admission Process

    In three simple steps, you can start your journey to an AI machine learning career.


    1
    Submit your application
    Fill out our application to get started. There is no application fee. It takes about 10-15 minutes. You should expect a reply in 2-3 business days.
    2
    Pass the challenge
    If it's a fit, we'll send you a challenge to test your software development skills. Applicants spend up to 3 hours on the challenge, most complete in 1 hour.
    3
    Reserve your spot
    If you pass the challenge, we will send you a registration link. Choose the start date and payment plan that works for you (we can help!).
    4
    Join the program
    You'll be one of the select few applicants to secure a spot in the AI/Machine Learning Career Track. Congratulations!

    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 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 AI / Machine Learning 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, at least 1 year of work experience in software engineering, or projects posted to GitHub.
    • 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 Canada if applying for positions in Toronto) for at least 1 year following graduation from the program. 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 $900 per month, only for the month's you're enrolled (most students complete within 6 months).
    • Upfront payment: You pay $4,500 upfront for 6 months. This is a 17% 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 $4,000 through a loan. You’ll make small interest-only payments for the first 6 months ($24-49/mo). After that, you will pay 36 monthly payments of $130-144 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 ($24-49/mo), and upon completion of the course, pay 36 monthly payments of $130-144 each. Learn about the application process on Climb Credit's website here.

    More questions? Reach out to Nicole, our Admissions Manager at nicole@springboard.com. She’s happy to help!
    We not only provide content to help you get a Machine Learning Engineer job quickly, we want you to have more impact in the role that you land.
    Your tuition includes:
    • 400+ hour curriculum of technical and career materials curated by industry experts.
    • Weekly 1-1 video calls with your personal mentor.
    • Access to an exclusive community of mentors, career coaches, and peers.
    • Dedicated community managers to answer questions and give feedback on projects within a day.
    • Personalized feedback to help you polish your resume, portfolio, and social profiles.
    • 1-on-1 sessions with a career coach to personalize your pitch and job-search strategy.
    • Lots of interview practice via 1-on-1 mock interviews (behavioral and technical).
    • Exclusive access to an employer network.
    • 100% money-back guarantee if you can't find a job within six months of course completion.
    • All taxes and fees.
    The AI/Machine Learning Career Track is a 400 hour course. Most students complete the course in 6 months, devoting 15-20 hours/week.
    You should expect to take the full 6 months, but can aim to complete in less time if you are: highly proficient in programming; are ready to devote more time per week to complete the curriculum materials; and are driven and disciplined with managing your study schedule.
    We work with industry experts to determine most relevant topics in AI and Machine Learning, and find the best resources on each topic (e.g. videos, tutorials, and lectures).

    Note that many of the videos and resources in the curriculum are not created in-house by us. Instead, we find and curate the best resources available on the subject. Think of us as a college professor who creates a syllabus by combining the best textbook chapters, articles, papers, and projects (instead of teaching from only their own textbook).

    We believe that the curated curriculum is our unique strength. By standing on the shoulders of giants, we’re able to update the curriculum frequently, and always teach the latest tools and technologies.
    You’ll have support from:
    • Your personal mentor: An AI Machine Learning expert will provide weekly 1:1 guidance and accountability in a 30-minute video call at a time that works for your busy schedule. They’ll place the materials in context with your unique goals and challenges.
    • Community teaching assistants: Dedicated help when you’re stuck, and detailed feedback on each project.
    • Career coaches: Your career coach will help with resume reviews, mock interviews, job search strategy etc.
    • Springboard student advisors: Our advisors will answer questions, discuss goals, and provide tips and support on any aspect of the program.
    • And finally, your classmates: You can form study groups, get feedback, and work on projects together!
    We will provide certificates of completion to all the participants who successfully complete the course and all the projects. We also have an integration with LinkedIn, so you can display a verified certificate on your LinkedIn profile.
    All our courses are entirely online. All you need is an Internet connection.
    The AI/Machine Learning Career track requires students to have the following:
    1. At least one year of professional software engineering experience using a general purpose Object-oriented programming language, such as Python, Java and C++. If a student does not have professional 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.
    2. Completed university-level courses on probability and descriptive statistics, linear algebra and calculus.
    3. Conversational fluency in English, as determined by initial interactions with the Admissions team.

    Is a bachelor's degree required?
    We don’t require a bachelor’s degree, but we highly recommend that you have the knowledge of the following topics at a college level:
    1. Linear Algebra
    2. Probability and Descriptive statistics
    3. Calculus

    If you don’t have a degree, you are welcome to apply with the understanding that not having a degree may be a barrier to landing certain roles. All students receive comprehensive career support, regardless of degree level.
    Still not sure if you’re a right fit? Contact our Admissions Manager Nicole at nicole@springboard.com.
    In three simple steps, you can kickstart your AI/Machine Learning career trajectory.
    1. Submit your application: Fill out our application to get started. There is no application fee. It takes about 10-15 minutes. You should expect a reply in 2-3 business days.
    2. Pass the challenge: If it's a fit, we'll send you a challenge to test your programming and statistics knowledge. Applicants spend up to 3 hours on the challenge, most complete in 1 hour.
    3. Reserve your spot: If you pass the challenge, we will send you a registration link. Choose the start date and payment plan that works for you (we can help!). You'll be one of the select few applicants to secure a spot in the AI/Machine Learning Career Track. Congratulations!
    Once you complete the course, you'll have lifetime access to your Springboard account, including the online community and office hours. Whenever our course development team updates the curriculum, you'll see it too. Lifelong learning guaranteed.
    Nicole, our Admissions Manager can help you decide if the AI/Machine Learning Career Track is the right course for you.

    Reach out at nicole@springboard.com

    Prefer to chat by phone?  You can book a call with Nicole here!