Member since 2025
[DEPRECATED]Introduction to Responsible AI
Earned Dec 7, 2025 EST
[DEPRECATED] How to Use TPUs for Inference
Earned Dec 7, 2025 EST
[DEPRECATED] Architecting an AI Inference Stack
Earned Dec 7, 2025 EST
Introduction to Large Language Models
Earned Dec 7, 2025 EST
Introduction to Generative AI
Earned Dec 7, 2025 EST
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 course is for developers interested in learning how to use TPUs for inference—from architecture to deployment, and how to solve common implementation challenges. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
This course is designed for developers looking to build an optimized AI inference stack on Google Cloud. Whether you’re working with GPUs or TPUs, you’ll explore the fundamental components of an inference stack, learn design principles for maximizing performance and reliability, and explore practical techniques to take your workloads from 0 to 1. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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 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.