Introduction to Vertex AI Studio
Earned juil. 24, 2024 EDT
Generative AI Fundamentals
Earned juil. 18, 2024 EDT
Prompt Design in Vertex AI
Earned juil. 17, 2024 EDT
Introduction to Large Language Models
Earned juil. 16, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned juil. 16, 2024 EDT
Introduction to Responsible AI
Earned juil. 15, 2024 EDT
Generative AI for Business Leaders
Earned juil. 15, 2024 EDT
This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio.
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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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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. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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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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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 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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A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
Introduction to Vertex AI Studio
Earned juil. 24, 2024 EDT
Generative AI Fundamentals
Earned juil. 18, 2024 EDT
Prompt Design in Vertex AI
Earned juil. 17, 2024 EDT
Introduction to Large Language Models
Earned juil. 16, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned juil. 16, 2024 EDT
Introduction to Responsible AI
Earned juil. 15, 2024 EDT
Generative AI for Business Leaders
Earned juil. 15, 2024 EDT