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Learner Reviews & Feedback for AI for Knowledge Workers by University of California, Davis
142 ratings
About the Course
If you’re new to AI or a beginner looking to increase your use of AI in knowledge work, this class is for you! It is designed for anyone interested in how AI works and the many ways it is transforming the way we work and create. From business professionals to creatives to leaders, this course will give you the tools to understand and harness the power of Generative AI for both creative and analytical work. We’ll discuss how Machine Learning and Deep Learning are essential to AI and we’ll review how neural networks are trained. You’ll learn how to select the right AI tools, and review real-world examples of using AI for creative tasks like generating social media posts and presentations, as well as critical thinking tasks like creating a lesson plan or analyzing data.
You’ll explore different ways to apply AI in everyday work. From brainstorming and troubleshooting code to creating blog posts and project timelines, this course will give you hands-on experience with popular AI tools including ChatGPT and Claud. We’ll also dive into important challenges like AI bias, transparency, and data privacy. Finally we’ll discuss the future of AI in the workplace. By the end of this course, you’ll not only be proficient in using AI tools, but you’ll also be better equipped to navigate the rapidly changing world of work as AI continues to evolve.
Top reviews
MP
May 19, 2025
Εξαιρετική προσέγγιση με θεωρητικά και πρακτικά παραδείγματα απο τη χρήση της ΤΝ στην καθημερινότητά μας.
PN
May 8, 2025
Very good and interesting start into the GenAI world.
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26 - 26 of 26 Reviews for AI for Knowledge Workers
By Ivan V
•Jun 22, 2025
This course was unbelievably shallow and unhelpful! I kept going, hoping to find something of value eventually, but unfortunately, that never happened. The content lacked depth, practical insight, and clear purpose. Honestly, I’m not sure who this would even be useful for. Quizzes were poorly designed, with questions like: “What is a subset of machine learning?” a) Apple b) Deep learning c) Grape d) Airplane I have never seen such content on Coursera before, that's really low level