What you'll learn

While generative AI prototypes can be created quickly, operationalizing them into scalable, secure, and governed production systems remains a significant challenge. Teams often struggle with moving from rapid prototypes to secure, reliable, and governed production systems.

In this course, Google Gemini Integration, you’ll gain the ability to design, deploy, and manage enterprise-ready AI applications.

First, you’ll explore how Google AI Studio enables fast prototyping and prompt experimentation, and where its limitations begin.

Next, you’ll discover how Vertex AI provides the infrastructure for scalable deployment, including endpoints, authentication, and environment configuration.

Finally, you’ll learn how to implement observability, monitoring, and governance, such as by tracking metrics like token usage, latency, and model behavior in production.

When you’re finished with this course, you’ll have the skills needed to move beyond demos and build production-grade generative AI systems with confidence.