In this course, learners will develop a comprehensive understanding of Google Cloud – from digital transformation foundations and data processing through to professional-level cloud architecture and generative AI leadership. In the Google Cloud Digital Leader track, learners will explore cloud deployment models, total cost of ownership, core Google Cloud concepts, data transformation, storage, analytical processing, business intelligence, AI and machine learning on Vertex AI, infrastructure modernisation, containers, serverless services, app development, security, and cloud operations and resilience. In the Professional Cloud Architect track, learners will design and implement scalable solutions using Compute Engine, managed instance groups, Google Kubernetes Engine, serverless compute, Cloud Run, App Engine, Cloud Storage, networking, load balancing, IAM, data storage and migration, and observability tools. The course concludes with the Generative AI Leader track, where learners will explore the generative AI landscape, the machine learning lifecycle, Google Cloud’s AI-first strategy, Gemini for personal and enterprise productivity, customer engagement solutions, and the Gemini Enterprise Agent Platform.