Member since 2026
Protect AI Workloads with Model Armor
Earned نوفمبر 6, 2026 EST
Prompt Design in Agent Platform
Earned نوفمبر 5, 2026 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned نوفمبر 3, 2026 EST
Introduction to Large Language Models
Earned نوفمبر 3, 2026 EST
Introduction to Generative AI
Earned نوفمبر 3, 2026 EST
Complete the intermediate Protect AI Workloads with Model Armor skill badge course to demonstrate skills in sanitizing prompts and responses, enforcing organization-wide security floor settings, deploying advanced Sensitive Data Protection (SDP) templates for PII redaction and de-identification, and conducting forensic audits using Cloud Logging and Model Armor monitoring telemetry. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a digital badge that you can share with your network.
Complete the introductory Prompt Design in Agent Platform skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Agent Platform. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you. In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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.