☁️ Google Cloud Certified Trainers  |  Aligned with GCP ACE & PCA Exams  |  WhatsApp to Reserve Your Seat →
☁️ Cloud Computing — GCP Specialisation

Build. Deploy. Scale.
Master Google Cloud
From Day One.

Google Cloud Platform powers over 2 million businesses globally — from Google Search and YouTube to the world's fastest-growing startups and enterprises. This course gives you the hands-on GCP skills that companies are urgently hiring for, with labs, real projects and certification preparation built in from day one.

8–10Weeks
50+Hands-On Labs
₹6–35LSalary Range
100%Placement Support
🏅 ACE Exam Aligned
🏅 PCA Exam Aligned
🏅 50+ GCP Labs
🏅 Real Projects

📋 Course At a Glance

Duration: 8–10 Weeks
📍Mode: Online + Pune Classroom
💰Fee: From ₹15,999 EMI Available
🗓Batches: Weekday & Weekend
🎯Level: Beginner to Advanced
🔬Labs: 50+ Live Labs
🏆Certificate: ✓ Included
🤝Placement: 100% Support

🎓 Reserve Your Seat
📦
10Core Modules
🔬
50+Hands-On GCP Labs
🛠
30+GCP Services Covered
🏅
2Certification Tracks

30+ Google Cloud Services You Will Work With

Deep hands-on practice across compute, storage, networking, data, AI and DevOps — the services that appear in GCP job descriptions and certification exams.

☁️

Compute & Infrastructure

Virtual Machines on GCE, auto-scaling with Managed Instance Groups, load balancers, Cloud Run for serverless containers and App Engine for PaaS applications.

GCE Cloud Run App Engine GKE Cloud Functions
🗄

Storage & Databases

Cloud Storage buckets and lifecycle policies, Cloud SQL for managed relational databases, Firestore for NoSQL, Bigtable for time-series and Spanner for globally distributed SQL.

Cloud Storage Cloud SQL Firestore Bigtable Cloud Spanner
🌐

Networking

VPC design, subnets, firewall rules, Cloud DNS, Cloud CDN, Cloud Load Balancing and hybrid connectivity with Cloud VPN and Dedicated Interconnect.

VPC Cloud DNS Cloud CDN Cloud VPN Load Balancing
📊

BigQuery & Data Analytics

BigQuery for petabyte-scale SQL analytics, Dataflow for streaming and batch pipelines, Pub/Sub for messaging, Dataproc for Spark and Looker Studio for dashboards.

BigQuery Dataflow Pub/Sub Dataproc Looker Studio
🤖

AI & Machine Learning

Vertex AI for custom ML models, AutoML for no-code ML, BigQuery ML for in-database ML, Natural Language API, Vision API, Translation API and Document AI.

Vertex AI AutoML BQML Vision API Natural Language API
🔐

Security & DevOps

IAM and service accounts, Cloud Armor for DDoS protection, Secret Manager, Cloud KMS, Cloud Build for CI/CD, Artifact Registry and Cloud Monitoring & Logging.

IAM Cloud Armor Cloud Build Cloud KMS Cloud Monitoring

Complete Course Curriculum

10 modules with 50+ hands-on labs. Every module ends with a real GCP project. The final 2 weeks are dedicated to certification preparation and capstone deployment.

01

Cloud Computing Foundations & GCP Overview

Week 1
  • What is cloud computing? IaaS, PaaS, SaaS explained with real examples
  • GCP vs AWS vs Azure — architecture philosophy and market positioning
  • GCP Console navigation, Cloud Shell, gcloud CLI setup
  • GCP billing, projects, folders and organisation hierarchy
  • IAM fundamentals: roles, permissions, service accounts and policy bindings
  • Lab: Create your first GCP project, set up billing alerts and explore Console
02

Compute Engine & Virtual Machines

Week 1–2
  • Creating and configuring VM instances: machine types, images, disks
  • Startup scripts, metadata and instance templates for automation
  • Managed Instance Groups (MIGs): auto-scaling and self-healing
  • Preemptible and Spot VMs for cost optimisation
  • SSH key management and OS Login for secure access
  • Lab: Deploy a 3-tier web application on GCE with auto-scaling and load balancing
03

Containers, GKE & Serverless Compute

Week 2–3
  • Docker fundamentals: containers vs VMs, images, Dockerfiles
  • Google Kubernetes Engine (GKE): clusters, nodes, pods, deployments, services
  • Kubectl commands and GKE Autopilot vs Standard mode
  • Cloud Run: deploying containerised apps serverlessly at scale
  • Cloud Functions: event-driven serverless compute for automation
  • Lab: Deploy a microservices application on GKE with horizontal pod autoscaling
04

Storage, Databases & Data Management

Week 3
  • Cloud Storage: buckets, object lifecycle, storage classes, signed URLs
  • Cloud SQL: managed MySQL/PostgreSQL — backups, replicas, failover
  • Firestore: NoSQL document database for mobile and web apps
  • Bigtable: wide-column NoSQL for high-throughput time-series workloads
  • Cloud Spanner: globally distributed, strongly consistent relational database
  • Lab: Design a data storage architecture for a real e-commerce use case on GCP
05

Networking on GCP

Week 4
  • VPC networks: custom vs auto mode, subnets, IP ranges and CIDR planning
  • Firewall rules: ingress/egress, priority, tags and service accounts
  • Cloud Load Balancing: HTTP(S), TCP, internal and cross-region LBs
  • Cloud DNS, Cloud CDN and Cloud Armor for performance and security
  • Hybrid connectivity: Cloud VPN, Cloud Interconnect, Shared VPC
  • Lab: Design and implement a production-grade VPC with multi-tier firewall rules
06

BigQuery & Cloud Data Analytics

Week 5
  • BigQuery architecture: slots, datasets, tables, partitioning and clustering
  • Writing optimised SQL in BigQuery for petabyte-scale data
  • Streaming data into BigQuery with Pub/Sub and Dataflow
  • Dataproc: running Apache Spark and Hadoop jobs on GCP
  • Looker Studio: connecting BigQuery to live business intelligence dashboards
  • Lab: Build an end-to-end analytics pipeline — ingest, transform, query and visualise
07

GCP AI, ML & Vertex AI

Week 6
  • GCP AI product landscape: pre-built APIs vs custom Vertex AI models
  • Vision API, Natural Language API, Speech-to-Text, Translation API — hands-on
  • AutoML: training custom models without writing ML code
  • Vertex AI Workbench: Jupyter notebooks on GCP for custom ML workflows
  • BigQuery ML: training and deploying ML models inside SQL queries
  • Lab: Build a text classification model using AutoML and deploy it as an API endpoint
08

Security, IAM & Compliance

Week 7
  • GCP security model: defence in depth, shared responsibility on cloud
  • Advanced IAM: Workload Identity Federation, VPC Service Controls
  • Secret Manager and Cloud KMS for secrets and key management
  • Cloud Armor: WAF rules, DDoS protection, bot management
  • Security Command Center: detecting misconfigurations and threats
  • Lab: Conduct a security audit of a GCP project and remediate all findings
09

DevOps, CI/CD & Cloud Monitoring

Week 8
  • Cloud Build: automated CI/CD pipelines triggered from GitHub
  • Artifact Registry: storing Docker images and package artifacts
  • Cloud Deploy: progressive delivery and canary releases on GCP
  • Cloud Monitoring: dashboards, alerting policies and SLOs
  • Cloud Logging: structured logs, log sinks, log-based metrics
  • Lab: Build a complete CI/CD pipeline from GitHub commit to GKE production deployment
10

Architecture, Certification Prep & Capstone

Week 9–10
  • GCP solution architecture patterns: high availability, DR, cost optimisation
  • Associate Cloud Engineer (ACE) exam — domain review and practice tests
  • Professional Cloud Architect (PCA) — case studies and architecture walkthroughs
  • Capstone project: design and deploy a full production-grade GCP architecture
  • Portfolio documentation: architecture diagrams, README and GitHub publish
  • Mock interviews: technical GCP questions and whiteboard architecture sessions

Google Cloud Certification Tracks

Our curriculum is specifically mapped to GCP certification exams. Pass the exam — and add a globally recognised credential to your profile.

🏅

Associate Cloud Engineer (ACE)

Validates ability to deploy applications, monitor operations and manage enterprise solutions on GCP. The most popular entry-level GCP certification with strong hiring demand across India.

Entry Level
🏆

Professional Cloud Architect (PCA)

Demonstrates ability to design, develop and manage robust, scalable, secure GCP solutions. One of the top-paying cloud certifications in India — avg. salary ₹18–30 LPA for certified architects.

Professional
🎖

Professional Data Engineer (PDE)

Covers BigQuery, Dataflow, Pub/Sub and Vertex AI — for those who want to specialise in cloud data engineering and ML pipelines. Covered in our advanced elective modules.

Specialist

GCP Services & Tools You Will Master

Every service and tool listed below is covered in hands-on labs using real GCP environments — not simulators.

GCP Console
gcloud CLI
Cloud Shell
Compute Engine
GKE
Cloud Run
Cloud Functions
App Engine
Cloud Storage
Cloud SQL
Firestore
Bigtable
Cloud Spanner
BigQuery
Dataflow
Pub/Sub
Dataproc
Vertex AI
AutoML
Vision API
Natural Language API
Cloud Build
Artifact Registry
Cloud Monitoring
Cloud Logging
IAM
Cloud Armor
Secret Manager
Looker Studio
VPC

This Course is Built For You If…

💻

Software Developers

Backend, full-stack and frontend developers who want to deploy applications on GCP, understand cloud-native architectures and move into higher-paying cloud engineer roles.

🏗

DevOps & System Engineers

Infrastructure and operations engineers who want to migrate workloads to GCP, automate deployments with CI/CD and master Kubernetes on GKE.

📊

Data Engineers & Analysts

Professionals who work with data and want to leverage BigQuery, Dataflow, Pub/Sub and Vertex AI to build scalable, production-grade data pipelines on Google Cloud.

🎓

CS / IT Freshers & Graduates

Engineering and IT graduates who want to begin their career in cloud computing — one of India's most in-demand and best-paying technology domains.

🔄

Career Switchers into Cloud

IT professionals from networking, system administration, testing or development who want to transition into cloud engineering and significantly increase their earning potential.

🏢

Technical Managers & Architects

Tech leads and architects who need to evaluate, design and govern cloud solutions on GCP — and prepare for the Professional Cloud Architect certification.

What You Will Be Able to Do After This Course

Design and deploy scalable, fault-tolerant GCP architectures using GCE, GKE, Cloud Run and App Engine

Build and manage production-grade data pipelines using BigQuery, Dataflow, Pub/Sub and Dataproc

Configure secure VPC networks with firewall rules, load balancers, Cloud Armor and IAM policies

Deploy containerised microservices on GKE with Horizontal Pod Autoscaling and rolling updates

Train and deploy ML models using Vertex AI, AutoML and BigQuery ML without deep ML expertise

Build complete CI/CD pipelines from GitHub to GKE production using Cloud Build and Cloud Deploy

Monitor, log and alert on GCP infrastructure using Cloud Monitoring, Cloud Logging and SLOs

Prepare for and pass the Google Cloud Associate Cloud Engineer (ACE) certification exam

Estimate, optimise and govern GCP costs using committed use discounts and rightsizing recommendations

Architect multi-region, high-availability solutions with disaster recovery using GCP best practices

Where This Course Can Take You

GCP-certified professionals are among the highest-paid technology workers in India, across industries from IT services to banking, healthcare and e-commerce.

☁️

Cloud Engineer

Build & manage GCP infrastructure
₹6–18 LPA
🏗

Cloud Architect

Design enterprise GCP solutions
₹15–35 LPA
🔧

DevOps / SRE Engineer

CI/CD pipelines & reliability on GCP
₹8–22 LPA
📊

Cloud Data Engineer

BigQuery, Dataflow & pipelines
₹8–24 LPA
🤖

ML Engineer — GCP

Vertex AI & cloud ML pipelines
₹10–28 LPA
🔐

Cloud Security Engineer

GCP security & compliance
₹10–25 LPA
📱

Cloud Solutions Consultant

Advise clients on GCP adoption
₹12–28 LPA
🌐

GCP Platform Engineer

Build internal cloud platforms
₹10–24 LPA

What Our Students Say

★★★★★

I was a backend Java developer with no cloud experience. After 10 weeks at Aapvex, I cleared the GCP ACE exam in my first attempt and joined a cloud engineering team at 70% higher salary. The lab environment is exceptional — you work on real GCP, not screenshots.

R
Rohit B. Cloud Engineer, IT Services MNC, Pune
★★★★★

The BigQuery and Dataflow modules were the best I've seen anywhere — including expensive online platforms. I built a streaming analytics pipeline during the course and it was immediately useful at my new job. Aapvex trainers have deep hands-on expertise.

S
Sneha K. GCP Data Engineer, Fintech Company, Bangalore
★★★★★

The GKE and CI/CD modules alone justify the entire course fee. I came in knowing basic Docker. I left able to deploy production Kubernetes clusters on GKE with full CI/CD pipelines. Got placed within 3 weeks of completing the course.

A
Aditya M. DevOps Engineer, SaaS Startup, Hyderabad

Everything You Need to Know

Still have questions? WhatsApp us at 7796731656 — we respond within minutes.

No prior cloud experience is required. We start from the very basics — what cloud computing is, how it works, and why companies use it — before building into hands-on GCP labs. A basic comfort with computers and a willingness to learn is all you need. If you have software development or system administration experience, you will progress faster through the early modules.

Yes. Our curriculum is specifically mapped to the Google Cloud Associate Cloud Engineer (ACE) and Professional Cloud Architect (PCA) certification exams. We cover all exam domains with dedicated revision sessions, practice test banks and mock exams in the final two weeks. Many of our students pass the ACE exam within 4 weeks of completing the course.

Fees start from ₹15,999. Zero-cost EMI is available on major credit and debit cards. Contact us at 7796731656 to confirm the current batch fee and check for early-bird discounts or scholarship offers.

You will work in a real, live Google Cloud environment throughout the course — not a simulator or screenshot walkthrough. We provide GCP lab credits to every student for the duration of the course. All 50+ labs are done in actual GCP projects with real services, real data and real deployments.

You will build 8+ real GCP projects including: a 3-tier auto-scaling web application on GCE, a microservices deployment on GKE, an end-to-end BigQuery analytics pipeline with Looker Studio dashboard, an AutoML text classification model deployed as an API, a complete CI/CD pipeline from GitHub to GKE, a secure multi-tier VPC architecture and a capstone production-grade cloud architecture with documentation.

Self-paced online content gives you labs but no mentorship, no structured feedback, no career guidance and no placement support. At Aapvex, you get live trainer-led sessions where you can ask questions in real time, weekly code reviews and architecture feedback, a peer community of working professionals, resume and interview preparation, and active placement support. Our trainers are working cloud engineers — not content creators.

If you have some basic IT familiarity — using computers, basic understanding of how websites and servers work — this course is accessible. Transitioning from a non-IT background into cloud engineering requires additional effort, and we support that with supplementary content and extra doubt-clearing sessions. Many of our students from networking, system administration and even non-technical roles have successfully transitioned into cloud roles after this course.

Batches are limited to 15–20 students to ensure hands-on attention. Live sessions run 3 times per week, approximately 2 hours per session, with dedicated lab time. You also have access to recorded sessions, a private student community and direct trainer access on WhatsApp throughout the course. Weekend batches are available for working professionals.

Yes — 100% placement support is included. We help with resume rewriting for cloud roles, LinkedIn profile optimisation, technical mock interviews (cloud architecture, GCP services, networking), referrals to our network of 200+ hiring companies and 6 months of job alerts post-completion. Our hiring partners include IT services companies, GCCs, cloud-native startups and consulting firms across Pune, Bangalore, Hyderabad and remote roles.

Yes — the full programme runs as live interactive online sessions via Zoom. Students from Bangalore, Hyderabad, Mumbai, Delhi NCR, Chennai and smaller cities attend each batch. Weekend-only batches are available for working professionals. The online experience is identical to the classroom — same trainer, live labs, projects and placement support.

📍 Training Near You

Find a Batch in Your Area

We conduct classroom and online training across Pune and major Indian cities. Click your area to see batch schedules, fees, and availability.

🏙️ Pune — Training Areas

🇮🇳 Other Cities

All locations offer live online training. Call 7796731656 for batch availability.

Ready to Build Your Cloud Career on GCP?

Google Cloud is the fastest-growing cloud platform in India. The skills gap is massive. Your opportunity window is right now — the next batch starts soon.

💬 WhatsApp 7796731656 📞 Call Now 🎓 Enrol Online
🔥 Next Batch Starting Soon — Limited Seats  ·  Fees from ₹15,999  ·  EMI Available  ·  100% Placement Support

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