Rejoindre Se connecter

Rafael Avella

Date d'abonnement : 2023

Ligue d'Or

9830 points
Badge pour Site Reliability Engineering: Measuring and Managing Reliability Site Reliability Engineering: Measuring and Managing Reliability Earned déc. 18, 2023 EST
Badge pour Developing a Google SRE Culture Developing a Google SRE Culture Earned déc. 18, 2023 EST
Badge pour Responsible AI: Applying AI Principles with Google Cloud Responsible AI: Applying AI Principles with Google Cloud Earned déc. 12, 2023 EST
Badge pour Generative AI Fundamentals Generative AI Fundamentals Earned déc. 8, 2023 EST
Badge pour Introduction to Responsible AI Introduction to Responsible AI Earned déc. 8, 2023 EST
Badge pour Introduction to Large Language Models Introduction to Large Language Models Earned déc. 8, 2023 EST
Badge pour Introduction to Generative AI Introduction to Generative AI Earned déc. 8, 2023 EST

Service level indicators (SLIs) and service level objectives (SLOs) are fundamental tools for measuring and managing reliability. In this course, students learn approaches for devising appropriate SLIs and SLOs and managing reliability through the use of an error budget.

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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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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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