Demystify AI-generated content challenges - hallucinations, inaccuracies, biases. Develop detection skills and bias correction methods. Explore ethical AI use for transparency.

When we think of machine learning, we often focus on the training process. A small amount of preparation before this process can not only speed up and improve learning, but also give us some confidence about how well our models will work when faced with data we have never seen before.

Understand the principles of reinforcement learning and its applications in training intelligent agents.

A quick Guide on Reinforcement Learning with Tensor flow 2.0

A crash course on making ML software more reliable, including best practices on testing and other aspects of defensive programming.

This course will teach you how to remain agile and open to change as your workforce transitions to using Gen AI tools and practices.

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

This course introduces concepts of responsible AI and AI principles.

This course introduces concepts of AI interpretability and transparency.

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

Understand how to apply responsible AI principles in real-world applications using Google Cloud services.

This course equips you with tools to develop responsible AI systems that are fair, transparent, accountable, and beneficial to society as a whole.