Mettez en pratique vos compétences dans la console Google Cloud
Rani Soni
Date d'abonnement : 2024
Ligue de bronze
6750 points
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned juin 30, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned juin 30, 2025 EDT
Level 3: GenAIus Registries
Earned mai 5, 2024 EDT
Introduction to Large Language Models
Earned mai 5, 2024 EDT
Introduction to Generative AI
Earned mai 5, 2024 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned mai 4, 2024 EDT
Prompt Design in Vertex AI
Earned mai 3, 2024 EDT
This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production.
Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Vertex AI platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.
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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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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!
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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.
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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.
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned juin 30, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned juin 30, 2025 EDT
Level 3: GenAIus Registries
Earned mai 5, 2024 EDT
Introduction to Large Language Models
Earned mai 5, 2024 EDT
Introduction to Generative AI
Earned mai 5, 2024 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned mai 4, 2024 EDT
Prompt Design in Vertex AI
Earned mai 3, 2024 EDT