Responsible AI: Applying AI Principles with Google Cloud
Earned sept. 27, 2023 EDT
Generative AI Fundamentals
Earned sept. 24, 2023 EDT
Introduction to Responsible AI
Earned sept. 24, 2023 EDT
Introduction to Large Language Models
Earned sept. 24, 2023 EDT
Introduction to Generative AI
Earned sept. 23, 2023 EDT
How Google Does Machine Learning
Earned mars 25, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned mars 25, 2023 EDT
As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI courses. By passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models.
The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
Responsible AI: Applying AI Principles with Google Cloud
Earned sept. 27, 2023 EDT
Generative AI Fundamentals
Earned sept. 24, 2023 EDT
Introduction to Responsible AI
Earned sept. 24, 2023 EDT
Introduction to Large Language Models
Earned sept. 24, 2023 EDT
Introduction to Generative AI
Earned sept. 23, 2023 EDT
How Google Does Machine Learning
Earned mars 25, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned mars 25, 2023 EDT