Date d'abonnement : 2021
How to Use TPUs for Inference
Earned juin 16, 2026 EDT
Introduction to Responsible AI
Earned juin 16, 2026 EDT
Introduction to Large Language Models
Earned juin 16, 2026 EDT
Introduction to Generative AI
Earned juin 16, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned déc. 12, 2024 EST
This course is for developers interested in learning how to use TPUs for inference—from architecture to deployment, and how to solve common implementation challenges.
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.
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. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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.
This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.