Expert Seminar Series: AI and Machine Learning for Engineering offered by UC Berkeley
- Public University
1200 acre campus- Estd. 1868
Expert Seminar Series: AI and Machine Learning for Engineering at UC Berkeley Overview
Expert Seminar Series: AI and Machine Learning for Engineering
at UC Berkeley
Build human-centric ML solutions, with an emphasis on what would happen when data fails us
Total fee | ₹270 |
Mode of learning | Online |
Official Website | Go to Website  |
Course Level | UG Certificate |
Expert Seminar Series: AI and Machine Learning for Engineering at UC Berkeley Highlights
Expert Seminar Series: AI and Machine Learning for Engineering
at UC Berkeley
- Earn a certificate of completion from University of California, Berkeley
Expert Seminar Series: AI and Machine Learning for Engineering at UC Berkeley Course details
Expert Seminar Series: AI and Machine Learning for Engineering
at UC Berkeley
What are the course deliverables?
- Effectively operate and deploy AI and ML applications on a realistic and practical level
- Understand the adoption of AI, AI maturity in the industry and many of the challenges faced along the way
- Measure biases in various AI and ML applications
More about this course
- As a technology leader working on Human-Computer Interaction (HCI), Deep Learning (DL) and Artificial Intelligence (AI) related applications, you might be under constant pressure to stay one step ahead of your competitors in developing the latest analytic innovations
- In order to achieve fair, impactful and sustainable AI and Machine Learning (ML) solutions, technology leaders need targeted insights into bias and equity, human-centered solutions and adapting AI for industry
- Staying up to date on these latest trends will help you find the crucial balance between technology adoption, cultural change and a learned grasp of the new normal
Expert Seminar Series: AI and Machine Learning for Engineering at UC Berkeley Curriculum
Expert Seminar Series: AI and Machine Learning for Engineering
at UC Berkeley
Required Seminars
Industrial AI Adoption
Building Human-Centric Machine Learning Solutions
Measuring for Biases in AI and ML Applications
Expert Seminar Series: AI and Machine Learning for Engineering at UC Berkeley Faculty details
Expert Seminar Series: AI and Machine Learning for Engineering
at UC Berkeley
Alexander I. Iliev, Lead Instructor,
Dynamic professional with outstanding record in product management and data science working in highly creative and energetic environment. Passion for defining and executing the development of cutting edge products. Excellent team player with great interpersonal communication skills
Ali Rebaie, Data Anthropologist
Ali Rebaie is a data anthropologist, industry analyst and global keynote speaker. He founded Rebaie Analytics Group in his early 20s which had quickly grown a global Fortune 500 clientele base. He has been listed consecutively among the top 100 AI Influencers globally. Ali has been equipping thousands of data enthusiasts on 21st century skills.
Nashlie H.
Dr. Nashlie H. Sephus is the Applied Science manager for Amazon Artificial Intelligence (AI) focusing on fairness and identifying biases in these technologies. She formerly led the Amazon Visual Search team in Atlanta, which launched visual search for replacement parts on the Amazon Shopping app in June 2018.
Michael Wu, Chief AI Strategist at PROS
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Expert Seminar Series: AI and Machine Learning for Engineering at UC Berkeley Contact Information
Expert Seminar Series: AI and Machine Learning for Engineering
at UC Berkeley