UNIVERSITIESUC BERKELEY SCHOOL OF INFORMATION

Machine Learning online short course

Course starts 17 July 2019

Course information

Registration Closes:
9 July 2019
Course Starts:
17 July 2019
Length:
6 weeks, excluding orientation
Effort:
7 - 10 hours per week, entirely online
Price:
USD $3,500
Payment Options
University:
UC Berkeley School of Information
Language:
English
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Introduction

According to an estimate by the International Data Corporation (IDC), spending on AI and machine learning is expected to reach $35.8 billion in 2019, and $79.2 billion by 2022.1

To effectively integrate machine learning applications into your business requires a practical understanding of the models.

The Machine Learning online short course from the
UC Berkeley School of Information (I School) aims to equip business leaders and technology specialists with the skills to understand the impact of machine learning, how to communicate the business case for machine learning integration, and how to manage its implementation.

Analyze the models, techniques, and ethical ramifications of machine learning using case studies. To conclude, present the business case for utilizing machine learning in organizations.

1 IDC (Mar, 2019)

Download course prospectus

What will set you apart

Earn a certificate from the UC Berkeley School of Information in this online short course and be empowered to:

  • Optimize business operations with machine learning applications.

  • Develop a strategy for integrating machine learning models in a business.

  • Evaluate the cost and requirements of implementing machine learning applications in business.

Course curriculum

Explore machine learning models, techniques, and best practices as you follow your learning path through the weekly modules of this online course:

  • Module 1: Solving Business Problems with Machine Learning
  • Module 2: Ethics and Due Process
  • Module 3: Measuring and Evaluating Model Performance
  • Module 4: Deep Learning for Business
  • Module 5: Model Productionalization
  • Module 6: Justifying an Organizational Machine Learning Approach

Make the Case for Machine Learning

The UC Berkeley School of Information online short course is delivered in collaboration with GetSmarter. Learn from industry thought leaders as you analyze machine learning models and develop a strategy to integrate machine learning techniques into business operations. 


Your Faculty Director

The design of this online course is guided by I School faculty and industry experts who will share their experience and in-depth subject knowledge with you throughout the course.

D. Alex Hughes

D. Alex Hughes

Faculty Director, Assistant Adjunct Professor at the UC Berkeley School of Information (I School)

 


Guest Speakers

 

Will Monge

Research Machinist at Good Research LLC

Kristen Burton

Senior Director of Sales Finance and Commercial Operations at ServiceNow

Nathan Good

Principal at Good Research LLC

 

Chad Harness

Customer-facing Data Scientist at DataRobot

Maya Miller-Vedam

Data Scientist, Mixed Reality at Work

Daniel Gillick

Senior Research Scientist at Google

 
 

Amit Bhattacharyya

Head of Data Science at Vox Media

Jason Vantomme

Principal Data Science Manager

Earn a Certificate of Completion from the UC Berkeley School of Information

Upon completion of the course, earn a certificate from the UC Berkeley School of Information as validation of your achievement.

Your certificate will be issued in your legal name and couriered to you, at no additional cost, upon successful completion of the course, as per the stipulated requirements. All certificate images are for illustrative purposes only and may be subject to change at the discretion of the University.

REGISTER NOW

When do I start?

Our next available short course starts 17 July 2019.

Get More Information

Enter your information below to receive the course prospectus from GetSmarter.

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Still have a question? These may help

  • WHAT ARE MY PAYMENT OPTIONS?

    You can either pay your tuition fees in full before the course starts, or you may opt for a two-part payment plan for courses nine weeks and shorter. For courses ten weeks or longer, there is a three-part payment plan available. To find out more on payment options please visit our Payment and Financing page.

    If you want to find out more about any of these options or you want to know which you qualify for please get in contact with a Course Consultant here.

  • WILL I HAVE THE TIME?

    GetSmarter's learning model is designed to help you, as a working professional, improve your skills without compromising on work and family responsibilities. The course work is broken up into weekly, manageable bite-sized modules, with incremental deadlines, designed to help you pace yourself over the duration of the course and allow you the legroom to work when it suits you best.

    At the beginning of each week you'll be presented with all the lectures, notes and assignments necessary for completion. You also have access to your Success Manager who will help you set goals and track key milestones, manage your time, and field any administrative requests you might have.

  • CAN MY EMPLOYER ASSIST WITH PAYMENT?

    By improving your skills and industry knowledge, you'll be having an influence on the success of your organisation.

    Why wouldn't you ask your boss to help you fund your studies if it's going to have an impact on the way you do business?

    37% of our past students receive financial assistance from their employers. You can ask for help, too. Here is a guide to show you how to receive financial assistance from your employer.

  • WHAT IS THE ONLINE CAMPUS?

    The Online Campus will be your virtual classroom for the duration of your course. Through its easy-to-use interface you'll have access to a diverse variety of course content formats, including: interactive video lectures, module notes, practice quizzes, Prezis, assignment briefs, and additional web resources.

    On the Online Campus, you'll also be able to ask questions and interact with your fellow students and Head Tutor through the Online Campus discussion forums. If you're experiencing tech issues or need advice from your personal Success Manager, you can use the Online Campus to get in touch.

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