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Berkeley Global
Artificial intelligence (AI) applications are becoming more pervasive in our everyday professional lives. With this comes an increasing need for autonomous and accessible AI. Larger audiences need to take their data to the next level in order to keep up with the accelerating pace of their work. As we strive to make AI “smarter” and more pervasive, the repercussions is a gap in the assessment, repositioning and elevation of humans in the analytics process.
In this asynchronous lecture, lead instructor Sarah Aerni shares her years of experience of finding that balance between AI systems development and usage.
Expert speaker: Sarah Aerni, senior director Machine Learning + Engineering at Salesforce
Guest speaker: Tanvir Shaikh, Senior Data Scientist, Financial Solutions Group at Genentech
Prerequisites:
No specific prerequisites or entrance requirements needed to enroll.
Before starting the course, we strongly recommend that you have attended the free expert panel public event:
Navigating the Pitfalls and Opportunities of AI and ML for Business.
Course Outline
Expand or collapse section
Course Objectives
Upon completion of this seminar, students will:
- Understand what can make AI “autonomous.”
- Describe the role of humans in the design and development of autonomous systems.
- Connect AI to business analytics applications.
Intended Audience
- Business analysts
- Junior data scientists
- Business finance and operations professionals
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Fall enrollment opens on June 20!