Build a Certification Study Guide: PCA Exam Prep
Earned juin 10, 2026 EDT
Engineer AI Agents with Agent Development Kit (ADK)
Earned avr. 28, 2026 EDT
Gemini for Data Scientists and Analysts
Earned avr. 12, 2026 EDT
Develop Serverless Applications on Cloud Run
Earned avr. 12, 2026 EDT
Manage Kubernetes in Google Cloud
Earned avr. 11, 2026 EDT
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned avr. 4, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned avr. 3, 2026 EDT
Learn how to use NotebookLM to create a personalized study guide for the Professional Cloud Architect certification exam.
You'll review NotebookLM features, create a notebook in NotebookLM, and learn how to use a study guide to practice for a certification exam.
En savoir plus
Complete the intermediate Engineer AI Agents with Agent Development Kit (ADK) skill badge by completing this course to demonstrate skills in the following: formulating real-world language model research problems; building a simple tokenizer; preparing a dataset for training a transformer language model; running the training loop of a small language model.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.
Duet AI was renamed to Gemini, our next-generation model.
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Complete the intermediate Develop Serverless Applications on Cloud Run skill badge course to demonstrate skills in the following: integrating Cloud Run with Cloud Storage for data management, architecting resilient asynchronous systems using Cloud Run and Pub/Sub, constructing REST API gateways powered by Cloud Run, and building and deploying services on Cloud Run.
En savoir plus
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 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.
En savoir plus
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.
Build a Certification Study Guide: PCA Exam Prep
Earned juin 10, 2026 EDT
Engineer AI Agents with Agent Development Kit (ADK)
Earned avr. 28, 2026 EDT
Gemini for Data Scientists and Analysts
Earned avr. 12, 2026 EDT
Develop Serverless Applications on Cloud Run
Earned avr. 12, 2026 EDT
Manage Kubernetes in Google Cloud
Earned avr. 11, 2026 EDT
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned avr. 4, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned avr. 3, 2026 EDT