Cloud Computing
Beginner → AdvancedGCP — Google Cloud Platform
Master Google Cloud Platform — from core compute and storage to data analytics, machine learning, and Kubernetes. Learn to build scalable, data-driven applications on the cloud that powers Google Search, YouTube, and Gmail. Prepare for the Google Cloud Associate Cloud Engineer certification.
What you'll learn
- Deploy and manage workloads on Google Cloud
- Build serverless apps with Cloud Run & Cloud Functions
- Analyze data at scale with BigQuery
- Orchestrate containers with GKE (Kubernetes)
- Integrate Firebase for mobile & web backends
- Use Vertex AI for ML model deployment
- Automate infrastructure with Terraform on GCP
- Prepare for Google Cloud Associate Cloud Engineer exam
Prerequisites
- Basic understanding of networking and servers
- Familiarity with Linux command line
- No prior GCP experience required
Course Curriculum
Week 1 — GCP Fundamentals & Setup
1 weekUnderstand GCP's global infrastructure and set up your environment.
Week 2 — IAM & Security
1 weekControl access to GCP resources with fine-grained IAM policies.
Week 3 — Compute Engine & Networking
1 weekLaunch VMs and build secure networks on GCP.
Week 4 — Cloud Storage & Databases
1 weekStore and manage data with GCP's storage and database services.
Week 5 — Serverless — Cloud Run & Cloud Functions
1 weekBuild and deploy serverless applications that scale to zero.
Week 6 — GKE — Google Kubernetes Engine
1 weekRun production Kubernetes clusters managed by Google.
Week 7 — BigQuery & Data Analytics
1 weekAnalyze petabyte-scale datasets with BigQuery — GCP's flagship data warehouse.
Week 8 — Firebase & Mobile/Web Backends
1 weekBuild real-time mobile and web backends with Firebase.
Week 9 — Vertex AI & Machine Learning
1 weekDeploy and serve ML models on GCP with Vertex AI.
Week 10 — Messaging & Event-Driven Architecture
1 weekBuild decoupled, event-driven systems with Pub/Sub and Eventarc.
Week 11 — DevOps — Cloud Build, Artifact Registry & Terraform
1 weekAutomate builds, deployments, and infrastructure on GCP.
Week 12 — Architecture Patterns & Exam Prep
1 weekDesign production GCP architectures and prepare for the ACE certification.
What You'll Build
Serverless API on Cloud Run
Containerized REST API deployed on Cloud Run with Firestore, Cloud Storage, and Firebase Auth.
Data Pipeline with BigQuery
Ingest streaming data via Pub/Sub → Dataflow → BigQuery with a Looker Studio dashboard.
GKE Microservices App
Deploy a multi-service app on GKE with Ingress, Horizontal Autoscaling, and Cloud SQL.
Full-Stack Firebase App (Capstone)
Mobile/web app with Firebase Auth, Firestore, Cloud Functions, FCM, and Vertex AI integration.
We don't stop when the course ends
Your journey continues — we actively support you in landing a job or launching your startup.
Job Placement Assistance
We help you land your first developer role with resume building, portfolio reviews, mock interviews, and direct referrals to our hiring network.
- Resume & LinkedIn profile review
- Portfolio & GitHub profile optimization
- Mock technical interviews
- Referrals to partner companies & startups
- Job search strategy & negotiation tips
- Ongoing support until you get placed
Startup Launch Assistance
Have a startup idea? We help you validate it, build the MVP, and launch it — with hands-on technical mentorship from our team.
- Idea validation & market research guidance
- Technical architecture planning
- Hands-on help building your MVP
- Code reviews & mentorship sessions
- App Store / Play Store launch support
- Introductions to early users & investors
Every student who completes a course gets access to our placement & startup support program — at no extra cost.
Ready to start GCP — Google Cloud Platform?
Enroll now — build real projects, get placed, or launch your startup.