What you'll learn

Using generative AI tools such as Google Gemini without understanding data handling and cost implications can lead to security risks, inefficient usage, and unnecessary expenses. In this course, Google Gemini Security and Cost Optimization, you’ll gain the ability to use Gemini securely while optimizing performance and cost.

First, you’ll explore how user data is processed, stored, and protected, along with safe prompting practices and the impact of regulations like GDPR and CCPA. Next, you’ll discover how model selection, usage patterns, and prompt efficiency techniques influence cost and how to make smarter trade-offs. Finally, you’ll learn how to evaluate performance factors such as prompt clarity, input size, and context, and apply a practical checklist for secure and efficient usage. When you’re finished with this course, you’ll have the skills and knowledge of Google Gemini security and cost optimization needed to make informed, responsible, and efficient decisions in real-world scenarios.