Generative AI Fundamentals
Earned nov. 2, 2024 EDT
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned oct. 26, 2024 EDT
Launching into Machine Learning
Earned oct. 24, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned oct. 21, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned oct. 15, 2024 EDT
Introduction to Responsible AI
Earned oct. 15, 2024 EDT
Generative AI for Business Leaders
Earned oct. 15, 2024 EDT
Earn a skill badge 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 course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
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The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
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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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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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A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
Generative AI Fundamentals
Earned nov. 2, 2024 EDT
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned oct. 26, 2024 EDT
Launching into Machine Learning
Earned oct. 24, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned oct. 21, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned oct. 15, 2024 EDT
Introduction to Responsible AI
Earned oct. 15, 2024 EDT
Generative AI for Business Leaders
Earned oct. 15, 2024 EDT