Google Cloud Architect

The four published case studies are treated as core curriculum, not revision material. Delegates work through each one in a dedicated session, produce a written architecture for it, and defend their service choices against the scenario's stated constraints. By exam day they should be able to answer case study questions from prepared reasoning rather than from scratch under time pressure.

Service selection depth is the second focus. It is not enough to know what BigQuery does; the exam asks when BigQuery rather than Spanner, Bigtable or AlloyDB, and expects the answer to follow from workload characteristics. Comparative service selection is taught as a decision framework across compute, storage, data and networking.

Networking and IAM get more attention than their nominal weighting suggests. Shared VPC, VPC Service Controls, custom roles and organisation policies appear in detail, and they are where candidates with hands-on GCP experience but no design experience most often come unstuck.

Delegates build in their own GCP project throughout, but the emphasis is on design justification rather than console familiarity. This exam rewards being able to explain why, not how.

Self-paced course

₹15,000

or start with ₹5,000 and pay the balance within 3 months

Pay in full ₹15,000

○ Lessons, videos and quizzes from ₹5,000
🔒 Lab recordings at ₹15,000
🔒 Certification exam at full payment
○ Optional real lab: ₹5,000 per month (after full payment)

Valid 12 months from your first payment. Refund policy

Responsible	XertApp
Last Update	10/11/2026
Completion Time	1 day 13 hours 30 minutes
Members	1

Course
Reviews

Career Courses Hot Skills Cloud & Infrastructure

Module 1 — Foundations and design principles (empty)

5Lessons · 2 hr 30 min
- Google Cloud global infrastructure: regions, zones and edge
- Resource hierarchy: organisation, folders, projects
- Google Cloud Architecture Framework
- Business requirements against technical requirements
- Thinking in trade-offs: cost, performance, reliability, operations
Module 2 — Identity and access management (empty)

6Lessons · 3 hr
- IAM roles: basic, predefined and custom
- Service accounts and workload identity
- Cloud Identity and directory federation
- Organisation policies and constraints
- VPC Service Controls and perimeter design
- Least privilege at organisation scale
Module 3 — Networking (empty)

7Lessons · 3 hr 30 min
- VPC design, subnets and IP planning
- Shared VPC and VPC peering
- Firewall rules and hierarchical policies
- Cloud Load Balancing: global and regional options
- Cloud CDN, Cloud Armor and edge protection
- Hybrid connectivity: Cloud VPN, Interconnect, Network Connectivity Center
- Cloud DNS and private service access
Module 4 — Compute (empty)

7Lessons · 3 hr 30 min
- Compute Engine: machine families, MIGs and autoscaling
- Preemptible and Spot VMs
- Google Kubernetes Engine: Standard and Autopilot
- Cloud Run and serverless containers
- Cloud Functions and event-driven compute
- App Engine and when it still applies
- Selecting a compute platform against workload characteristics
Module 5 — Storage and databases (empty)

8Lessons · 4 hr
- Cloud Storage classes, lifecycle and retention
- Persistent Disk, Filestore and local SSD
- Cloud SQL and AlloyDB
- Spanner: global consistency and its cost
- Bigtable for wide-column workloads
- Firestore and document data
- BigQuery as warehouse and as analytics engine
- Comparative selection: which store for which workload
Module 6 — Data and analytics (empty)

6Lessons · 3 hr
- Pub/Sub and event ingestion
- Dataflow for batch and stream processing
- Dataproc and managed Spark
- Data pipeline architecture patterns
- Looker and analytics delivery
- Vertex AI and integrating machine learning into architecture
Module 7 — Security and compliance (empty)

6Lessons · 3 hr
- Encryption defaults, CMEK and CSEK
- Secret Manager and credential handling
- Security Command Center
- Audit logging and evidence for compliance
- Regulatory design: HIPAA, GDPR and data residency
- Designing for a compliance requirement stated in a case study
Module 8 — Reliability and operations (empty)

5Lessons · 2 hr 30 min
- SRE principles: SLIs, SLOs and error budgets
- Multi-zone and multi-region design
- Disaster recovery patterns and RTO/RPO
- Cloud Monitoring, Logging and Trace
- Incident response and operational readiness
Module 9 — Migration and modernisation (empty)

5Lessons · 2 hr 30 min
- Migration strategies and workload assessment
- Migrate to Virtual Machines and phased approaches
- Monolith to microservices on GKE and Cloud Run
- Database migration options
- Hybrid and multicloud with Anthos
Module 10 — Cost and process optimisation (empty)

5Lessons · 2 hr 30 min
- Committed use and sustained use discounts
- Rightsizing and recommender tooling
- Billing export and cost attribution
- Analysing and optimising business processes
- Managing implementation and developer velocity
Module 11 — Infrastructure as code and delivery (empty)

4Lessons · 2 hr
- Terraform on Google Cloud
- Cloud Build and deployment pipelines
- Configuration management and environment promotion
- Testing infrastructure changes safely
Module 12 — The four case studies (empty)

6Lessons · 3 hr
- Mountkirk Games: global low-latency backend and real-time analytics
- TerramEarth: connected devices, telemetry ingestion and data pipelines
- EHR Healthcare: migration under HIPAA and compliance constraints
- Helicopter Racing League: streaming media and global content delivery
- Written architecture recommendation for each, defended in session
- One-page decision summaries for exam day recall
Exam preparation (empty)

5Lessons · 2 hr 30 min
- Case study question technique and split-screen time management
- Eliminating technically correct but misaligned answers
- Domain-by-domain review across all six domains
- Timed mock exams
- Note on renewal: the renewal exam is generative-AI focused and almost entirely case study based

Who should attend

Aimed at practitioners who will design Google Cloud solutions and justify those designs against business constraints.

Cloud architects adding GCP to an AWS or Azure background
Infrastructure and platform engineers moving into design roles
Data engineers architecting pipelines on Google Cloud
Senior developers making architecture decisions already
Consultants and pre-sales staff needing defensible GCP knowledge
Delegates building toward multicloud capability

Assumed knowledge: general cloud and infrastructure experience including networking, storage and identity concepts. Google recommends three or more years of industry experience with at least one year designing Google Cloud solutions. There is no formal prerequisite, though Associate Cloud Engineer knowledge is a useful foundation. Delegates entirely new to cloud should take an associate-level course first.

Delivery

Duration
40 hours, delivered as weekday evenings or weekend sessions.

Format
Live instructor-led online, with recordings available to delegates for the duration of the programme. On-site corporate delivery available on request.

Lab environment
Each delegate works in their own Google Cloud project for the duration of the course and for four weeks afterwards, with guidance on staying within free tier limits.

Included
Course notes, lab guides, exercise solutions and a certificate of completion.

How to enroll

Enrol and pay online on this page. The full fee is ₹15,000 (US$170). You can start with ₹5,000 (US$60) and pay the balance in instalments within 3 months. Pay by card, UPI or net banking, or by PayPal in US dollars. Go to payment. For corporate, on-site or one-to-one training, contact contact@appsolworld.com or call +91 92051 38405.