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Aditya Debnath

Date d'abonnement : 2024

Ligue d'Argent

6995 points
[Deprecated] Get Started with Looker Earned oct. 18, 2024 EDT
Deploy and Secure Serverless APIs with API Gateway Earned oct. 17, 2024 EDT
The Basics of Google Cloud Compute Earned oct. 16, 2024 EDT
Implement Cloud Collaboration and Productivity Workflows Earned oct. 16, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud Earned oct. 13, 2024 EDT
Introduction to Large Language Models Earned oct. 6, 2024 EDT
[DEPRECATED]Introduction to Responsible AI Earned oct. 5, 2024 EDT
Introduction to Generative AI Earned oct. 4, 2024 EDT

Earn a skill badge by completing the Get Started with Looker skill badge course, where you learn how to analyze, visualize, and curate data using Looker Studio and Looker.

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Earn a skill badge by completing the Deploy and Secure Serverless APIs with API Gateway skill badge course, where you learn how to use API Gateway to deploy, secure, and manage APIs with a fully managed gateway.

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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.

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Earn an introductory skill badge by completing the Implement Cloud Collaboration and Productivity Workflows course, where you will get introduced to Google's collaborative platform and learn to use Gmail, Calendar, Meet, Drive, Sheets, and AppSheet.

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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 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. Explore other content in the Gemini Agent Ready (GEAR) program.

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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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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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