Jest członkiem od 2026
AI Boost Bites: Create Your Own Retro Arcade Game
Earned lip 23, 2026 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation
Earned lip 18, 2026 EDT
Create Your First Gemini Enterprise Application
Earned lip 18, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned lip 4, 2026 EDT
This video covers how to use a simple prompt in Gemini Canvas to build, customize, and share your own playable game, like Tic-Tac-Toe.
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 Agent Platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.
Create your first Gemini Enterprise application to earn a skill badge! Connect diverse data sources to your application to build a powerful, unified search and analysis engine. Master advanced capabilities like deep research agents, multi-agent ideation, and Gemini Notebook for focused analysis. Explore other content in the Gemini Agent Ready (GEAR) program.
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 Gemini Enterprise Agent Platform empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.