Encoder-Decoder Architecture
Earned fév. 25, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned fév. 4, 2024 EST
Generative AI Fundamentals
Earned fév. 2, 2024 EST
Introduction to Responsible AI
Earned fév. 2, 2024 EST
Introduction to Large Language Models
Earned fév. 2, 2024 EST
Introduction to Generative AI
Earned fév. 2, 2024 EST
BigQuery for Data Warehousing I
Earned oct. 28, 2020 EDT
Cloud Hero: Data & ML
Earned oct. 27, 2020 EDT
This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.
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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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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 7 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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Welcome Gamers! Have fun in today's game with Big Query concepts and Data Warehousing. Learn how to create new tables, pipelines and ingest dataets using Big Query. Take labs to earn points. The faster you complete the lab objectives, the higher your score.
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Cloud Hero is played around the world, in person and online. Today, you have the opportunity to become your a cloud hero! This game is all about how GCP helps you get the most out of your data. You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.
Encoder-Decoder Architecture
Earned fév. 25, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned fév. 4, 2024 EST
Generative AI Fundamentals
Earned fév. 2, 2024 EST
Introduction to Responsible AI
Earned fév. 2, 2024 EST
Introduction to Large Language Models
Earned fév. 2, 2024 EST
Introduction to Generative AI
Earned fév. 2, 2024 EST
BigQuery for Data Warehousing I
Earned oct. 28, 2020 EDT
Cloud Hero: Data & ML
Earned oct. 27, 2020 EDT