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Follow clear study paths, visualize tricky choices with decision trees, and drill exam-ready flashcards. Every resource is focused on what shows up on the exam and how you prove real-world skills.
Each guide maps tasks to the exam outline so you practice what Google Cloud scores.
Quick trees show which product to choose for compute, data, security, and networking questions.
Flashcards and checklists highlight the must-know defaults, limits, and gotchas.
From foundational knowledge to specialized professional roles, we cover the entire Google Cloud certification spectrum.
Foundational credentials are ideal for newcomers, business professionals and project managers who want to understand cloud capabilities without deep technical experience.
Understand Google Cloud's value and capabilities at a high level. Perfect for collaborative roles bridging business and technology.
Learn fundamentals of generative AI and Google's AI offerings. Ideal for business leaders guiding AI adoption.
Associate credentials suit IT professionals starting their hands‑on cloud journey, validating the ability to deploy and maintain small to medium environments.
Deploy applications, configure cloud resources and maintain operations across Google Cloud. A stepping stone to advanced roles.
Validate your ability to ingest, analyze and visualize data with Google Cloud's analytics tools.
Manage users, devices and services across Google Workspace. Keep your organization productive and secure.
Professional credentials target experienced engineers, architects and specialists who design, implement and optimize advanced cloud solutions.
Design and manage secure, scalable cloud architectures across hybrid and multi-region footprints.
Focused renewal prep with decision diagrams, cheat-sheet mode, and flashcards.
Build cloud-native applications using GCP services and SDKs.
Design data processing systems, build operationalized pipelines, and ensure data quality.
Focused renewal outline of exam domains and key considerations.
Implement CI/CD pipelines and reliability practices.
Protect data, manage IAM and design secure architectures.
Build and deploy machine learning models at scale.
Design, plan and prototype Google Cloud networks.
Design, create, manage and troubleshoot Google Cloud databases.
Detect, investigate and respond to security threats.