Mettez en pratique vos compétences dans la console Google Cloud
Fernando Carrero
Date d'abonnement : 2024
Ligue d'Or
7420 points
Preparing for Your Google Workspace Administrator Journey
Earned avr. 3, 2024 EDT
Preparing for Your Professional Cloud Network Engineer Journey
Earned avr. 3, 2024 EDT
Prompt Design in Vertex AI
Earned mars 19, 2024 EDT
Introduction to Responsible AI
Earned mars 18, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mars 18, 2024 EDT
Introduction to Generative AI
Earned mars 18, 2024 EDT
Introduction to Large Language Models
Earned mars 18, 2024 EDT
This course helps learners prepare to study for the Professional Google Workspace Administrator Certification exam. Learners will be exposed to and engage with exam topics through a series of readings, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey.
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This course helps you structure your preparation for the Professional Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.
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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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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 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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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.
Preparing for Your Google Workspace Administrator Journey
Earned avr. 3, 2024 EDT
Preparing for Your Professional Cloud Network Engineer Journey
Earned avr. 3, 2024 EDT
Prompt Design in Vertex AI
Earned mars 19, 2024 EDT
Introduction to Responsible AI
Earned mars 18, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mars 18, 2024 EDT
Introduction to Generative AI
Earned mars 18, 2024 EDT
Introduction to Large Language Models
Earned mars 18, 2024 EDT