Develop Gen AI Apps with Gemini and Streamlit
Earned nov. 30, 2024 EST
Create Agents with Generative Playbooks
Earned nov. 29, 2024 EST
Explore Generative AI with the Gemini API in Vertex AI
Earned nov. 29, 2024 EST
Prompt Design in Vertex AI
Earned août 10, 2024 EDT
Generative AI Explorer - Vertex AI
Earned juin 5, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned jan. 23, 2024 EST
Generative AI Fundamentals
Earned jan. 23, 2024 EST
Introduction to Responsible AI
Earned jan. 23, 2024 EST
Introduction to Large Language Models
Earned jan. 23, 2024 EST
Introduction to Generative AI
Earned jan. 23, 2024 EST
Complete the intermediate Develop Gen AI Apps with Gemini and Streamlit skill badge course to demonstrate skills in text generation, applying function calls with the Python SDK and Gemini API, and deploying a Streamlit application with Cloud Run. In this course, you learn Gemini prompting, test Streamlit apps in Cloud Shell, and deploy them as Docker containers in Cloud Run.
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This course will teach you how to build conversational experiences for Conversational Agents using Generative Playbooks. You'll start with an introduction to playbooks and learn how to set up your first one. You'll also learn about the importance of testing, as well as key production considerations like quota limits and integration. The course concludes with a case study that shows how to use playbooks for generative steering.
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Complete the intermediate Explore Generative AI with the Gemini API in Vertex AI skill badge to demonstrate skills in text generation, image and video analysis for enhanced content creation, and applying function calling techniques within the Gemini API. Discover how to leverage sophisticated Gemini techniques, explore multimodal content generation, and expand the capabilities of your AI-powered projects.
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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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The Generative AI Explorer - Vertex Quest is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more. You will also learn how to tune a foundation model by training it via Vertex AI custom training and deploy it to a Vertex AI endpoint.
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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 3 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.
Develop Gen AI Apps with Gemini and Streamlit
Earned nov. 30, 2024 EST
Create Agents with Generative Playbooks
Earned nov. 29, 2024 EST
Explore Generative AI with the Gemini API in Vertex AI
Earned nov. 29, 2024 EST
Prompt Design in Vertex AI
Earned août 10, 2024 EDT
Generative AI Explorer - Vertex AI
Earned juin 5, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned jan. 23, 2024 EST
Generative AI Fundamentals
Earned jan. 23, 2024 EST
Introduction to Responsible AI
Earned jan. 23, 2024 EST
Introduction to Large Language Models
Earned jan. 23, 2024 EST
Introduction to Generative AI
Earned jan. 23, 2024 EST