Course Overview
About Course
This immersive 40-hour GCP training empowers participants with practical skills to architect, build, and manage cloud-native solutions using Google Cloud Platform. Beginning with foundational cloud concepts and GCP’s resource hierarchy, learners configure secure, scalable virtual networks and compute resources. Compute Engine, load balancing, autoscaling, and IAM principles are covered early to ensure strong infrastructure knowledge.
Storage modules delve into Cloud Storage, managed SQL and NoSQL databases—including Spanner and Bigtable—providing robust technique for data persistence and performance optimization. The course transitions into serverless computing with App Engine, Cloud Functions, and event-driven architectures. Containerization fundamentals are taught using Google Kubernetes Engine, followed by data analytics via BigQuery.
Security and observability modules focus on IAM policies, encryption, Cloud Monitoring, and Logging. Infrastructure automation is emphasized through Deployment Manager and Terraform. A capstone project ties these elements together, challenging participants to design and deploy a resilient, multi-tier application architecture.
Aligned with certification goals—Associate Cloud Engineer and Professional Cloud Architect—this training blends hands-on practice, expert-led sessions, quizzes, and peer collaboration. Graduates emerge equipped to deploy production-grade GCP solutions, implement best practices, and confidently pursue GCP certifications.
Course Syllabus
Module 1: Cloud & GCP Fundamentals (4 hrs)
- Core concepts: IaaS/PaaS/SaaS, public vs. private cloud
- GCP infrastructure: organization → folder → project hierarchy, billing setup
Module 2: Compute & Networking (6 hrs)
- VM provisioning with Compute Engine: machine types, disks, snapshots
- Networking: VPC, subnets, routes, firewalls, load balancing, autoscaling
Module 3: Identity & Access Management (IAM) (4 hrs)
- IAM basics: roles, permissions, service accounts
- Best practices and resource hierarchy management
Module 4: Storage & Databases (6 hrs)
- Object storage: Cloud Storage with tiers & lifecycle policies
- Managed databases: Cloud SQL, Cloud Spanner, Datastore/Firestore, Bigtable
Module 5: Serverless Compute & App Modernization (6 hrs)
- App hosting with App Engine and Cloud Run
- Serverless functions via Cloud Functions and event-driven patterns
Module 6: Containers & Orchestration (4 hrs)
- Containerized deployments using GKE (Kubernetes Engine) and CI/CD pipelines
Module 7: Data Analytics & BigQuery (4 hrs)
- Data ingestion & query: BigQuery essentials, SQL-based analytics
Module 8: Security, Monitoring & Logging (4 hrs)
- Cloud IAM, encryption, security posture management
- Observability via Cloud Monitoring, Logging, and Cloud Trace
Module 9: Infrastructure Management (4 hrs)
- IaC with Deployment Manager & Terraform
- API, SDK, and CLI usage for automation
Module 10: Deployment Best Practices & Certification Prep (2 hrs)
- Multi-region high availability design
- Prep for GCP Associate Cloud Engineer & Professional Cloud Architect exams
Key Features
Hands-on labs (60–70%): practice provisioning, networking, storage, containers, and serverless
Capstone project: design/deploy a multi-tier microservices architecture
Tooling: GCP Console, gcloud CLI, Deployment Manager, Terraform, Kubernetes
Certification alignment: focused prep on GCP Associate and Professional levels
Expert instruction: live sessions, quizzes, peer code reviews
Resource bundle: videos, labs, scripts, forums, post-course support
Our Upcoming Batches
At Topskill.ai, we understand that today’s professionals navigate demanding schedules.
To support your continuous learning, we offer fully flexible session timings across all our trainings.
Below is the schedule for our Training. If these time slots don’t align with your availability, simply let us know—we’ll be happy to design a customized timetable that works for you.
Training Timetable
| Batches Online/Offline | Batch Start Date | Session Days | Time Slot (IST) | Fees |
|---|---|---|---|---|
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 11:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 5:00 PM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 PM (Class 1-1.30 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 7:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 10:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 11:00 AM (Class 3 Hrs) | View Fees |
For any adjustments or bespoke scheduling requests, reach out to our admissions team at
support@topskill.ai or call +91-8431222743.
We’re committed to ensuring your training fits seamlessly into your professional life.
Note: Clicking “View Fees” will direct you to detailed fee structures, instalment options, and available discounts.
Don’t see a batch that fits your schedule? Click here to Request a Batch to design a bespoke training timetable.
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