Build Secure Applications on Google Cloud: Hands-On Projects with Gemini

Course details

Building enterprise apps on Google Cloud means balancing security, scalability, and AI capability from the start. In this course, join Google Cloud Evangelist, Engineer, and Authorized Trainer Mark Johnson as he shows you how to apply a security-first approach to app development by building a secure ecommerce platform on Google Cloud, complete with AI fraud detection and automated data protection compliance. Through a project-focused, text-based path, you get a chance to work hands-on with security-first development practices, cloud-native architecture, and the practical application of AI and ML services. By the end of this course, you’ll be equipped with transferable skills that address three enterprise priorities: security, scalability, and applying AI for business advantage. This course is an ideal fit for Google Cloud developers and engineers who want to integrate AI for security purposes.

Learning objectives
Build security-first applications using Google Cloud AI services.
Automate threat detection and data protection in applications.
Build compliance automation into your applications.

Concepts

Introduction

The AI guardian s call - Developing secure applications with Google AI

Welcome to Your Mission - Operations Council (Cloud Shell)

Mission briefing - Your map and final objective

Project - Build Your First Agent in Agent Studio

Project briefing - Building your first agent in Agent Studio

Project - Forge a Multiagent System with Google's Agent Development Kit (ADK)

Project briefing - Forging a multiagent system with Google's Agent Development Kit (ADK)

Project - Power Up with Model Context Protocol and Agent Platform Memory Bank

Project briefing - Powering up with Model Context Protocol (MCP) and Agent Platform Memory Bank

Trial by Fire Using Evaluation and Testing

Project briefing - Trial by fire using evaluation and testing

Protect Agents with an Enterprise Trust Layer

Project briefing - Protect agents with an enterprise trust layer

Final Trial - Deploy Agents to Google Cloud Run

Project briefing - Deploying agents to Google Cloud Run

Conclusion

Becoming a security-first AI guardian