Responsible AI: Applying AI Principles with Google Cloud
Earned mai 12, 2024 EDT
Gemini in Google Docs
Earned mai 12, 2024 EDT
Gemini in Google Slides
Earned mai 12, 2024 EDT
Gemini in Google Sheets
Earned mai 12, 2024 EDT
Create Image Captioning Models
Earned mai 12, 2024 EDT
Attention Mechanism
Earned mai 12, 2024 EDT
Gemini in Google Meet
Earned mai 2, 2024 EDT
Introduction to Image Generation
Earned mai 2, 2024 EDT
Introduction to Responsible AI
Earned mai 2, 2024 EDT
Introduction to Large Language Models
Earned avr. 28, 2024 EDT
Introduction to Gemini for Google Workspace
Earned avr. 28, 2024 EDT
Gemini in Gmail
Earned avr. 26, 2024 EDT
Introduction to Generative AI
Earned avr. 19, 2024 EDT
This course, Responsible AI: Applying AI Principles with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Responsible AI: Applying AI Principles with Google Cloud.
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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Gemini for Google Workspace is an add-on that provides users with access to generative AI features. This course delves into the capabilities of Gemini in Google Docs using video lessons, hands-on activities and practical examples. You learn how to use Gemini to generate written content based on prompts. You also explore using Gemini to edit text you’ve already written, helping you improve your overall productivity. By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Gemini in Google Docs to improve your writing.
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Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Slides.
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Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Sheets.
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This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images
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This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.
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Gemini for Google Workspace is an add-on that provides users with access to generative AI features. This course delves into the capabilities of Gemini in Google Meet. Through video lessons, hands-on activities and practical examples, you will gain a comprehensive understanding of the Gemini features in Google Meet. You learn how to use Gemini to generate background images, improve your video quality, and translate captions. By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Gemini in Google Meet to maximize the effectiveness of your video conferences.
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This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
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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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Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace. In this learning path, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.
En savoir plus
Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Gmail.
En savoir plus
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.
Responsible AI: Applying AI Principles with Google Cloud
Earned mai 12, 2024 EDT
Gemini in Google Docs
Earned mai 12, 2024 EDT
Gemini in Google Slides
Earned mai 12, 2024 EDT
Gemini in Google Sheets
Earned mai 12, 2024 EDT
Create Image Captioning Models
Earned mai 12, 2024 EDT
Attention Mechanism
Earned mai 12, 2024 EDT
Gemini in Google Meet
Earned mai 2, 2024 EDT
Introduction to Image Generation
Earned mai 2, 2024 EDT
Introduction to Responsible AI
Earned mai 2, 2024 EDT
Introduction to Large Language Models
Earned avr. 28, 2024 EDT
Introduction to Gemini for Google Workspace
Earned avr. 28, 2024 EDT
Gemini in Gmail
Earned avr. 26, 2024 EDT
Introduction to Generative AI
Earned avr. 19, 2024 EDT