You don’t have to be a computer scientist to launch your career in the emerging field of machine learning.

Our 10-week machine learning intensive is taking place at the following colleges and universities:

  • Mills College, Oakland, CA (Spring 2019)
  • Agnes Scott College, Decatur, GA (Summer 2019)
  • Scripps College, Claremont, CA (Summer 2019)

Prerequisites: Two semesters of college-level computer science or data science and college level applied statistics

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"We project that by 2020 the number of positions for data and analytics talent in the United States will increase by 364,000."

Study by IBM, Burning Glass and the Business-Higher Education Forum

As machine learning (ML) becomes a powerful tool across industries — from healthcare and retail to investment banking and insurance — there is a growing need for a workforce that understands how to apply ML strategically and use ML models to collaborate with data scientists and engineers for maximum business impact. The 10-week machine learning intensive gives students the strong computer science foundation they need to work with large datasets and solve real-world problems.

In this machine learning intensive for college credit, you will learn:

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To investigate, clean, analyze, and visualize data

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To understand different machine learning models and diagnose modeling issues so that you can adjust input data accordingly

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To discern when machine learning is the “right” solution for a given data or business problem

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To deepen your coding skills in SQL and Python

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To gain understanding of the ethical use of AI and how to identify bias

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To learn how to scale machine learning through cloud computing

Frequently Asked Questions

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  • How can I bring the ML intensive to my school?

    Currently on hold, stay tuned for details.
  • Who is the ideal candidate for this ML intensive?

    The target audience would be those currently enrolled in an undergraduate program or a very recent graduate with a basic background in computer science and data science. However, anyone is welcome to apply. At this time, applicants must be attending a US-based college or university to be considered.
  • What costs will be covered?

    For programs in 2019, Google will cover the cost of tuition and on-campus room and board for all students who are accepted into the ML intensive. Students will need to pay their travel expenses to the college campus where they will be enrolled. Should they choose not to live on campus, they will also have to pay for their living expenses. Students will also be expected to bring a laptop computer.
  • Who are your instructors?

    Our instruction teams include Google machine learning engineers, alongside college faculty and teaching assistants from the host institutions to coach students through our project-based curriculum.
  • When is the deadline to apply and when will I be notified about admission?

    The spring application deadline is November 18, 2018. You will be notified of our admission decision on December 14, 2018. The summer application deadline is February 17, 2019. You will be notified of our admission decision on March 15, 2019.
  • What are the dates of the ML intensive?

    The Spring ML intensive at Mills College will run from February 11 - April 26 (with a one-week spring break March 25-29). The Summer ML intensive will run from May 28 - August 2.
  • How many credits can I earn by taking this ML intensive?

    The ML intensive, which runs from 9a-5p daily (with an hour break for lunch), is being offered by the host institutions for 9 credit hours. Please consult your college registrar for the applicability of these credit hours to your course of study and for the procedures involved to transfer them.
  • What kind of job placement services does the ML intensive provide?

    Working in conjunction with college placement offices at the host institutions, we will provide opportunities for students to network with teams at Google, as well as Google business partners.
  • What makes this ML intensive unique?

    • Hands-on, applied, cohort-based approach
    • Content developed by Google, delivered by an instruction team that brings together college faculty and industry experts
    • A boot camp environment where you can also receive college credit
    • Industry connections to assist you in your job search
    • Non-technical skill development in program management, operations, self-presentation, and leadership
    • Case Study approach for exposure to more complex, industry-driven scenarios that expose students to multiple features and approaches and different domains
  • What are the time commitments of this program?

    The AMLI course will take place completely in-person and it not available for completion online or remotely. The course will take place 5 days a week and 8 hours a day for the full ten weeks, and we also encouraging those taking part to stay on campus so we can build more of a cogent cohort experience, though we understand that won't be possible for all participants.
  • Many of the colleges listed for AMLI are women’s colleges; is this program only for women?

    No. Though we do work with women’s colleges, the intensive program is open to all genders.
  • Does a Candidate need to have prior experience on working with ML?

    A candidate would ideally have taken two introductory level CS courses as well as a statistics class.