Responsible AI: Applying AI Principles with Google Cloud
Earned יונ 27, 2024 EDT
Experimenting and Evaluating your Gen AI models
Earned ינו 3, 2024 EST
Rapid Migration & Modernization Program
Earned ינו 3, 2024 EST
Generative AI Fundamentals
Earned ספט 14, 2023 EDT
Introduction to Responsible AI - בעברית
Earned ספט 14, 2023 EDT
Introduction to Large Language Models - בעברית
Earned ספט 14, 2023 EDT
Developing a Google SRE Culture
Earned יונ 12, 2023 EDT
Introduction to Generative AI - בעברית
Earned יונ 12, 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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Model experimentation and evaluation are critical steps in the journey to productionalize an LLM. This course introduces new tools that will help simplify these tasks.
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The Google Cloud Rapid Migration & Modernization Program (RaMP) is a holistic, end-to-end migration/modernization program that helps customers & partners leverage expertise and best practices, lower risk, control costs, and simplify a customer's path to cloud success. This course will give an overview of the program and some of the tools and best practices available to support customer migrations & modernizations.
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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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זהו קורס מבוא ממוקד שמטרתו להסביר מהי אתיקה של בינה מלאכותית, למה היא חשובה ואיך Google נוהגת לפי כללי האתיקה של הבינה המלאכותית במוצרים שלה. מוצגים בו גם 7 עקרונות ה-AI של Google.
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זהו קורס מבוא ממוקד שבוחן מהם מודלים גדולים של שפה (LLM), איך משתמשים בהם בתרחישים שונים לדוגמה ואיך אפשר לשפר את הביצועים שלהם באמצעות כוונון של הנחיות. הוא גם כולל הסבר על הכלים של Google שיעזרו לכם לפתח אפליקציות בינה מלאכותית גנרטיבית משלכם.
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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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זהו קורס מבוא ממוקד שמטרתו להסביר מהי בינה מלאכותית גנרטיבית, איך משתמשים בה ובמה היא שונה משיטות מסורתיות של למידת מכונה. הוא גם כולל הסבר על הכלים של Google שיעזרו לכם לפתח אפליקציות בינה מלאכותית גנרטיבית משלכם.
Responsible AI: Applying AI Principles with Google Cloud
Earned יונ 27, 2024 EDT
Experimenting and Evaluating your Gen AI models
Earned ינו 3, 2024 EST
Rapid Migration & Modernization Program
Earned ינו 3, 2024 EST
Generative AI Fundamentals
Earned ספט 14, 2023 EDT
Introduction to Responsible AI - בעברית
Earned ספט 14, 2023 EDT
Introduction to Large Language Models - בעברית
Earned ספט 14, 2023 EDT
Developing a Google SRE Culture
Earned יונ 12, 2023 EDT
Introduction to Generative AI - בעברית
Earned יונ 12, 2023 EDT