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Machine Learning Online Short Course
Earn a Certificate from the UC Berkeley I School

With the advancement of machine learning technologies, organizations now have the ability to sort through massive amounts of data and automate innovative business operations. To implement this disruptive technology successfully, leaders like you must understand how to develop a comprehensive digital strategy and prepare for the impact this technology can have on your business.
The UC Berkeley School of Information (I School) offers an online Machine Learning short course for leaders who want to understand the impact of machine learning, how to communicate the business case for its integration, and how to manage its implementation. No technical background required.
Join the Next Machine Learning Short Course
REGISTER BY: October 20
START COURSES: October 28
LENGTH: 6 weeks
Drive Your Organization with Efficiency and Innovation
The online Machine Learning short course will equip you with the skills needed to lead sustainable and ethical machine learning practices within your organization, without requiring any technical coding or programming knowledge.
You will learn primarily through case studies, providing you with practical operational insight into machine learning and its applications. With each case study, you will analyze learning models, techniques, and ethical ramifications and then present a business case for using machine learning in organizations.

Solve business problems with machine learning techniques.

Develop strategy for implementing machine learning models.

Lead collaboration between technical and business development teams.
Upon completion of the online short course, you will be issued a Machine Learning certificate from the UC Berkeley I School. This certificate signifies your ability to effectively integrate machine learning applications into your organization and lead across business and tech-focused teams.
Explore the Curriculum
All modules are completed entirely online. You can expect to spend a total of 7 to 10 hours a week on the course.
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Module 1
Solving Business Problems with Machine LearningUse machine learning to solve problems in an organization.
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Module 2
Ethics and Due ProcessExplore the ethical implications of using data to solve a business problem.
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Module 3
Measuring and Evaluating Model PerformanceDetermine the performance of machine learning models.
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Module 4
Deep Learning for BusinessConsider the appropriate applications of deep learning in business.
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Module 5
Model ProductionalizationExamine the factors affecting a model’s readiness for deployment.
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Module 6
Justifying an Organizational Machine Learning ApproachCommunicate a machine learning approach to a wider audience.
Get to Know Our Platform

The Machine Learning online short course is powered by GetSmarter, a 2U Inc. brand.
- Easy-to-use virtual classroom, called the Online Campus, that has everything you need in one place
- Interactive and engaging course work that features Prezis, video lectures, practice quizzes, and module notes
- Helpful discussion board where you can ask questions and share ideas with your head tutor and classmates

Get to Know Our Platform
The Machine Learning online short course is powered by GetSmarter, a 2U Inc. brand.
- Easy-to-use virtual classroom, called the Online Campus, that has everything you need in one place
- Interactive and engaging course work that features Prezis, video lectures, practice quizzes, and module notes
- Helpful discussion board where you can ask questions and share ideas with your head tutor and classmates
Learn from Machine Learning Experts
You will learn from I School faculty and industry experts who bring their unique perspectives to the classroom. With their years of experience in tech, they will help guide you on the most effective ways to integrate machine learning in your organization.
Hear about the Machine Learning online short course directly from your future instructors.
Drive Innovation in Your Organization
Earn a certificate in Machine Learning from the UC Berkeley I School in just six weeks.
Register Now
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