Date d'abonnement : 2025
Google Cloud: Prompt Engineering Guide
Earned mai 22, 2026 EDT
AI Infrastructure: Introduction to AI Hypercomputer
Earned mars 24, 2026 EDT
Introduction to Responsible AI
Earned mars 24, 2026 EDT
Introduction to Large Language Models
Earned mars 24, 2026 EDT
Introduction to Generative AI
Earned oct. 8, 2025 EDT
Google Cloud : Prompt Engineering Guide examines generative AI tools, how they work. We'll explore how to combine Google Cloud knowledge with prompt engineering to improve Gemini responses.
Ready to get started with AI Hypercomputers? This course makes it easy! We'll cover the basics of what they are and how they help AI with AI workloads. You'll learn about the different components inside a hypercomputer, like GPUs, TPUs, and CPUs, and discover how to pick the right deployment approach for your needs.
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.
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.