Classify Images with TensorFlow on Google Cloud
Earned juin 6, 2024 EDT
Manage Kubernetes in Google Cloud
Earned juin 4, 2024 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned mai 19, 2024 EDT
Introduction to Responsible AI
Earned mai 17, 2024 EDT
Introduction to Large Language Models
Earned mai 17, 2024 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned mai 17, 2024 EDT
Prompt Design in Vertex AI
Earned mai 16, 2024 EDT
Introduction to Generative AI
Earned mai 16, 2024 EDT
Level 3: GenAIus Registries
Earned mai 16, 2024 EDT
Earn the intermediate Skill Badge by completing the Classify Images with TensorFlow on Google Cloud skill badge course where you learn how to use TensorFlow and Vertex AI to create and train machine learning models. You primarily interact with Vertex AI Workbench user-managed notebooks.
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Complete the intermediate Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.
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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.
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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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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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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 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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Today, developers need all the tools to shine. Artifact Registry is your one-stop shop for storing and managing your code. Learn how to start building your dream code and earn a Google Cloud Credential along the way!- No prior experience needed!
Classify Images with TensorFlow on Google Cloud
Earned juin 6, 2024 EDT
Manage Kubernetes in Google Cloud
Earned juin 4, 2024 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned mai 19, 2024 EDT
Introduction to Responsible AI
Earned mai 17, 2024 EDT
Introduction to Large Language Models
Earned mai 17, 2024 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned mai 17, 2024 EDT
Prompt Design in Vertex AI
Earned mai 16, 2024 EDT
Introduction to Generative AI
Earned mai 16, 2024 EDT
Level 3: GenAIus Registries
Earned mai 16, 2024 EDT