Google Cloud Digital Leader v1.1

This track covers cloud fundamentals, why cloud technology helps organizations transform, and how Google Cloud supports business change. Topics include cloud vs. on-premises computing, public/private/hybrid/multicloud models, scalability, flexibility, agility, total cost of ownership, basic networking concepts, IaaS/PaaS/SaaS, and the shared responsibility model.

This track focuses on how data creates business value, supports decision-making, and enables transformation. It covers databases, warehouses, lakes, structured and unstructured data, data governance, Google Cloud storage/database products, BigQuery, Cloud Storage classes, Looker, streaming analytics, Pub/Sub, and Dataflow.

This track covers AI and ML basics, how machine learning differs from analytics and BI, and how AI creates business value. It includes topcis such as responsible AI, data quality, pre-trained APIs, AutoML, custom models, BigQuery ML, Gemini Enterprise Agent Platform, TensorFlow, and Cloud TPUs.

This track explains cloud migration, infrastructure modernization, application modernization, and compute options. It covers migration paths, VMs, containers, microservices, serverless computing, Compute Engine, Cloud Run, App Engine, Cloud Functions, GKE, APIs, Apigee, and hybrid or multicloud strategies.

This track covers cloud security concepts, Google’s trusted infrastructure, and compliance. Topics include cybersecurity threats, cloud vs. traditional security, confidentiality, integrity, availability, encryption, authentication, authorization, auditing, IAM, two-step verification, DDoS protection with Cloud Armor, SecOps, data sovereignty, data residency, and compliance reporting.

This track focuses on managing cloud operations at scale. It covers financial governance, cloud cost controls, resource hierarchy, quotas, budgets, billing reports, operational excellence, reliability, resilience, high availability, disaster recovery, DevOps, SRE, Google Cloud Customer Care, support cases, and sustainability.