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.
To effectively integrate 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 you with the skills to understand the impact of machine learning, and aptly communicate its integration.
Learn to analyze the models, techniques, and ethical ramifications of ML applications, and present a business case for utilizing it in your organization.
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:
- 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
Is this course for you?
The course aims to help you 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.
Explore the potential of machine learning for business, as you work through the weekly modules of this online course.
- 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
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.
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 short course is guided by UC Berkeley I School faculty, as well as industry experts, who will share their experience and in-depth knowledge with you throughout the course.
D. Alex Hughes
Assistant Adjunct Professor, UC Berkeley School of Information
Earn a Certificate of Completion from the UC Berkeley School of Information
Learn about machine learning for business and earn an official certificate of completion from the UC Berkeley I School.
Your certificate will be issued in your legal name and sent to you upon successful completion of the course, as per the stipulated requirements.REGISTER NOW
Get More Information
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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 an Enrolment Advisor 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 Advisor 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 Advisor, you can use the Online Campus to get in touch.