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Course Details
Course Details
What You'll Learn
This course prepares you for the Professional certification exam, covering all official exam domains and their approximate weightings:
Domain 1 Section 1: Designing and planning a cloud solution architecture (25%)
- Design cloud infrastructure meeting business requirements: use cases/product strategy, functional & non-functional requirements, business continuity, cost optimization, workload disposition (build/buy/modify/deprecate), KPIs/ROI, security & compliance, observability
- Design cloud infrastructure meeting technical requirements: Well-Architected Framework alignment, HA/fail-over design, resource flexibility, scalability, performance/latency, Gemini Cloud Assist, backup & recovery
- Design network, storage, and compute resources: on-prem/multicloud integration, Google Cloud AI/ML solutions (Gemini LLMs, Agent Builder, Model Garden, AI Hypercomputer), cloud-native networking (VPC, peering, firewalls, load balancers, shared VPC, Private Service Connect), data processing/storage type selection, mapping compute needs to platform products (GKE, Cloud Run), choosing compute resources (spot VMs, custom machine types)
- Create a migration plan: integrating with existing systems, assessing/migrating systems & data (Google Cloud Migration Center), migration methodologies/workload testing/network & dependency planning, software license & financial impact
- Envision future solution improvements: cloud/technology evolution, evolving business needs, cloud-first design approach
Domain 2 Section 2: Managing and provisioning a cloud solution infrastructure (17.5%)
- Configure network topologies: hybrid and multicloud extension, security protection (intrusion protection, access control, firewalls), VPC design and load balancing
- Configure individual storage systems: data storage allocation, processing/compute provisioning, security/access management, data transfer & latency, retention/lifecycle management, data growth planning, backup & recovery
- Configure compute systems: resource provisioning, compute volatility (spot vs standard), cloud-native network config for compute (Compute Engine, GKE, serverless, VMware Engine), infrastructure orchestration & patch management, container orchestration, serverless computing
- Leverage Gemini Enterprise Agent Platform for end-to-end ML workflows: Agent Platform Pipelines, data integration, AI Hypercomputer usage (GPUs/TPUs, large-scale model training)
- Configure prebuilt solutions or APIs with Agent Platform: Google AI APIs (Search, Conversation, Vision, Image, Video, Audio), Gemini Enterprise features (AI Agents, NotebookLM), integrating Model Garden models
Domain 3 Section 3: Designing for security and compliance (17.5%)
- Design for security: IAM, resource hierarchy (orgs/folders/projects), data security (key management, encryption, secret management), separation of duties
- Security controls: auditing, VPC Service Controls, context-aware access, organization policy, hierarchical firewall policy, Cloud KMS customer-managed keys
- Secure remote access: Identity-Aware Proxy, service account impersonation, Chrome Enterprise Premium, Workload Identity Federation; securing the software supply chain and securing AI (Model Armor, Sensitive Data Protection, secure model deployment)
- Design for compliance: legislation/regulation (health, children's, data privacy, sovereignty), commercial sensitive data (PCI, PII), industry certifications (e.g., SOC 2), audits and logs
Domain 4 Section 4: Analyzing and optimizing technical and business processes (15%)
- Analyze and define technical processes: SDLC, CI/CD, troubleshooting/root cause analysis, testing & validation of software/infrastructure, service catalog & provisioning, disaster recovery
- Analyze and define business processes: stakeholder management (influencing/facilitation), change management, team assessment/skills readiness, decision-making processes, customer success management, cost/resource optimization (CapEx/OpEx), business continuity
Domain 5 Section 5: Managing implementation (12.5%)
- Advise development and operations teams on deployment: application & infrastructure deployment, API management best practices (Apigee), testing frameworks (load/unit/integration), data & system migration/management tooling, Gemini Cloud Assist
- Interact with Google Cloud programmatically: Cloud Shell Editor/Code/Terminal, Google Cloud SDKs (gcloud, gsutil, bq), cloud emulators (Bigtable, Spanner, Pub/Sub, Firestore), Infrastructure as Code (Terraform), Google API best practices and client libraries
Domain 6 Section 6: Ensuring solution and operations excellence (12.5%)
- Understand and apply the operational excellence pillar of the Google Cloud Well-Architected Framework
- Google Cloud Observability: monitoring and logging, profiling and benchmarking, alerting strategies
- Deployment and release management
- Assist with support of deployed solutions and evaluate quality control measures
- Ensure reliability of solutions in production: chaos engineering, penetration testing, load testing
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
TBD
Hardware: Window or Mac Laptops
Job Roles
Job Roles
- Cloud Engineer
- Systems Engineer
- DevOps Engineer
- IT Manager
- Solutions Architect
- Network Engineer
- Software Developer
- Data Engineer
- Security Engineer
- Technical Support Engineer
- Infrastructure Engineer
- Application Developer
- IT Consultant
- Cloud Consultant
- Cloud Architect
Trainers
Trainers
Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.
Review
Customer Reviews (9)
- Worth every cent Review by Course Participant/Trainee
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Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 14/06/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Very satisfied Review by Course Participant/Trainee
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Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 21/05/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Good course materials Review by Course Participant/Trainee
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I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 13/01/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Highly recommended Review by Course Participant/Trainee
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The trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 14/06/2025)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Fantastic experience Review by Course Participant/Trainee
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The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 13/10/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
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