UC Berkeley School of Information
Machine Learning
Leverage machine learning to achieve business objectives and boost efficiency.
Start date
To be confirmed
Course duration
6 weeks
Excluding orientation
Language
English
Access resources from start date
Effort
7–10 hours per week
Self-paced learning online
Course overview
The percentage of business owners, decision-makers, and tech leaders who consider machine learning a game-changer, with the potential to transform their job and industry.
Hackernoon (Aug, 2019).
The predicted financial growth of the machine learning market by 2025.
MarketWatch (Jul, 2019).
This course is only available for corporate partnerships. If you’re interested in upskilling your team or organization, visit GetSmarter for Business or contact corporatetraining@getsmarter.com to discuss options.
Duration: 6 weeks (excluding orientation)
Companies using machine learning to optimize business processes and decision-making have distinct advantages over those that aren’t. By wielding machine learning technology to make business objectives more predictive and prescriptive, data-driven enterprises are redefining how to create and measure value. With the development of free, open-source machine learning and artificial intelligence tools, it’s never been easier for companies of all sizes to harness the power of data.
Effectively integrating machine learning applications into your business requires a practical understanding of its models. The Machine Learning online short course from the UC Berkeley School of Information (I School) aims to equip your workforce with the skills to understand the impact of machine learning and aptly communicate its integration. Your employees will learn to analyze the models, techniques, and ethical ramifications of machine learning applications, and present a business case for utilizing it in your organization.
Is this course for you?
The course aims to help your workforce understand how machine learning can be effectively used to problem-solve in your organization, providing the solutions to lead innovation to gain a competitive edge. Designed for mid- to senior-level managers eager to maximize team productivity and unlock new efficiencies, the course provides an operational perspective on the practical functioning of machine learning in business.
Both data-centric professionals and business executives will benefit from the expert-led modules and evidence-based approach. Those in technical or data-centric positions will gain tools to leverage and manage machine learning models. Business executives will learn to establish communication and collaboration between technical and business-oriented teams. No prior programming knowledge is required.
Course overview
Introduction
This course is only available for corporate partnerships. If you’re interested in upskilling your team or organization, visit GetSmarter for Business or contact corporatetraining@getsmarter.com to discuss options.
Duration: 6 weeks (excluding orientation)
Companies using machine learning to optimize business processes and decision-making have distinct advantages over those that aren’t. By wielding machine learning technology to make business objectives more predictive and prescriptive, data-driven enterprises are redefining how to create and measure value. With the development of free, open-source machine learning and artificial intelligence tools, it’s never been easier for companies of all sizes to harness the power of data.
Effectively integrating machine learning applications into your business requires a practical understanding of its models. The Machine Learning online short course from the UC Berkeley School of Information (I School) aims to equip your workforce with the skills to understand the impact of machine learning and aptly communicate its integration. Your employees will learn to analyze the models, techniques, and ethical ramifications of machine learning applications, and present a business case for utilizing it in your organization.
Is this course for you?
The course aims to help your workforce understand how machine learning can be effectively used to problem-solve in your organization, providing the solutions to lead innovation to gain a competitive edge. Designed for mid- to senior-level managers eager to maximize team productivity and unlock new efficiencies, the course provides an operational perspective on the practical functioning of machine learning in business.
Both data-centric professionals and business executives will benefit from the expert-led modules and evidence-based approach. Those in technical or data-centric positions will gain tools to leverage and manage machine learning models. Business executives will learn to establish communication and collaboration between technical and business-oriented teams. No prior programming knowledge is required.
What will set your employees apart
Insight into machine learning applications and the knowledge to effectively deploy it within your organization.
The ability to build and lead high-performance teams to ensure sustainable machine learning practices 
The aptitude to communicate a machine learning strategy with your stakeholders.Course curriculum
Orientation module
Welcome to your Online Campus
Module 1
Solving business problems with machine learning
Module 2
Ethics and due process
Module 3
Measuring and evaluating model performance
Module 4
Neural networks for business
Module 5
Model productionalization
Module 6
Justifying an organizational machine learning approach
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What past students
think
Daniel Malherbe
Senior Specialist: Business Integration
I realised that I know and work with many of these concepts on a daily basis. I just needed the structure presented in the course to guide me in applying my knowledge. The course fitted nicely into my work schedule and I was able to complete assignments with relative ease. The content was stimulating and I can definitely see myself using it in future.
Faculty Director
Alex Hughes
Assistant Adjunct Professor, UC Berkeley School of Information
About the certificate
Learn about machine learning for business and earn an official certificate of completion from the UC Berkeley I School.
Assessment is continuous and based on a series of practical assignments completed online. In order to be issued with a certificate, you’ll need to meet the requirements outlined in the course handbook. The handbook will be made available to you as soon as you begin the course.
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Want to know more?
Why choose GetSmarter?
GetSmarter, powered by 2U, is an online learning expert with over 10 years' experience in developing premium online short courses from the world’s leading universities and institutions. We are powered by 2U to support you in unlocking your potential through life-changing learning with an immersive and high-touch experience.
We deliver market-led courses that equip working professionals with the expertise required to upskill, reskill or kickstart a completely new career. Through a data-driven approach, we analyze future skills requirements and ensure all courses address this need. We ensure that leading universities and institutions are your expert guides and our people, technology, and resources are your engine – together we power more than just education, we power your potential.
Find out more about GetSmarter’s approach to digital learning, course design, and online delivery here.
Payment options
You can pay your course fees before the course starts, or you may opt for a split payment plan on courses that are nine weeks and shorter. For courses 10 weeks and longer, there is a three-part payment plan available. To find out more about payment options please visit our Payment and Financing page, or contact an Enrollment Adviser, to find out which option you qualify for.
Manage your 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 module you'll be presented with the course content and assignments necessary for completion. You also have access to your Success Adviser who will help you manage your time, and support you with any administrative or technical queries you might have.
Seek employer assistance
By improving your skills and industry knowledge, you'll have an influence on the success of your organization. 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?
Of our past students, 37 percent have received financial assistance from their employers. You can ask for help, too. Here is a guide to show you how to request financial assistance from your employer.
If you are a Learning & Development (L&D) manager, or involved in training and upskilling for an organization, you can request information regarding our corporate offering on our GetSmarter for business page.
How to change your start date
As part of our commitment to your professional development, GetSmarter offers you a two-week period to change your course start date or request your money back if you’re not fully satisfied.
To qualify for a deferral of your course start date, or to cancel your enrollment and receive a refund of your course fee, your request would need to reach our Success Advisers before the release of Module 2. For more information, please read our Terms and Conditions.
Discover 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 videos, module notes, practice quizzes, presentations, 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 teaching team through the discussion forums. If you are looking for your Online Campus login, please see the list of university partner login pages here.
