AI & Robotic
Showing 1009–1020 of 1170 results
Reinforcement Learning from Human Feedback (RLHF)
In this course we explore one corner of the expanding AI universe, and review some of the basic principles found in reinforcement learning from human feedback (RLHF), the technology underlying great AI tools such as ChatGPT, Bard, and more.
Reinforcement Learning with Gymnasium in Python
Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.
Reinforcement Learning with Tensorflow 2.0
A quick Guide on Reinforcement Learning with Tensor flow 2.0
Reliable Machine Learning
A crash course on making ML software more reliable, including best practices on testing and other aspects of defensive programming.
Remaining Agile Through the Development of Generative AI
This course will teach you how to remain agile and open to change as your workforce transitions to using Gen AI tools and practices.
Responsible AI Data Management
Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.
Responsible AI for Developers: Fairness & Bias
This course introduces concepts of responsible AI and AI principles.
Responsible AI for Developers: Interpretability & Transparency
This course introduces concepts of AI interpretability and transparency.
Responsible AI Practices
Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.
Responsible AI: Applying AI Principles with Google Cloud
Understand how to apply responsible AI principles in real-world applications using Google Cloud services.
Responsible AI: Principles and Practices
This course equips you with tools to develop responsible AI systems that are fair, transparent, accountable, and beneficial to society as a whole.
Responsible generative AI
Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.