☁️ Covers AWS · Azure · GCP — All 3 Major Cloud Platforms in One Course  |  WhatsApp to Reserve Your Seat →
☁️ Cloud Computing — Multi-Cloud Essentials Programme

One Course.
AWS + Azure + GCP.
Cloud-Ready in 8 Weeks.

Cloud computing is the single most transformative technology shift in IT today — and the skills gap is enormous. This course takes you from zero cloud knowledge to job-ready cloud professional, covering all three major platforms with hands-on labs, real-world projects and certification preparation built in at every step.

8–10Weeks
60+Hands-On Labs
3Cloud Platforms
100%Placement Support
🟠 AWS Cloud Practitioner Aligned
🔵 Azure AZ-900 Aligned
🔷 GCP Cloud Digital Leader Aligned

📋 Course At a Glance

Duration: 8–10 Weeks
📍Mode: Online + Pune Classroom
💰Fee: From ₹15,999 EMI Available
🗓Batches: Weekday & Weekend
🎯Level: Zero to Job-Ready
☁️Platforms: AWS · Azure · GCP
🏆Certificate: ✓ Included
🤝Placement: 100% Support

🎓 Reserve Your Seat
📚
10Core Modules
🔬
60+Hands-On Labs
☁️
3Cloud Platforms
🏅
3Cert Exam Tracks

The Cloud Skills Gap in India is a Career Opportunity

Every industry is moving to cloud. The demand for cloud-skilled professionals has never been higher — and supply has never been shorter. Here's what the numbers say.

5L+

Cloud Jobs Unfilled in India

Over 5 lakh cloud computing roles remain unfilled in India as of 2025. Companies across IT services, banking, healthcare and retail are desperately hiring cloud professionals at every level.

70%

Average Salary Hike

IT professionals who add cloud certifications to their resume report an average salary increase of 40–70%. GCP, AWS and Azure certified engineers are consistently among the highest-paid in India's tech industry.

₹8L

Average Fresher Cloud Package

Entry-level cloud engineers with certifications and practical project experience start at ₹6–10 LPA in India — significantly higher than average IT fresher salaries. Senior cloud architects command ₹25–40 LPA.

Everything Cloud, From First Principles

🖥

Virtualisation

From physical servers to VMs to containers — the foundation of all cloud infrastructure.

🏗

IaaS / PaaS / SaaS

Understanding the cloud service models and when to use each in real architectures.

🌐

Networking in Cloud

VPCs, subnets, load balancers, DNS, CDN and how the internet connects to cloud.

🔐

Cloud Security

IAM, encryption, compliance, Zero Trust, shared responsibility model across all platforms.

📦

Containers & Docker

Packaging applications in containers for portable, scalable cloud deployments.

⚙️

Kubernetes Basics

Orchestrating containers at scale — the engine behind modern cloud applications.

📊

Cloud Databases

Managed relational, NoSQL and data warehouse services across AWS, Azure and GCP.

🔄

DevOps & CI/CD

Automating build, test and deploy pipelines using cloud-native DevOps tools.

💸

Cloud Cost Optimisation

Understanding cloud billing, reserved instances, rightsizing and FinOps fundamentals.

🤖

Cloud AI & ML Services

Pre-built AI services — vision, language, speech — available on all three platforms.

📈

Monitoring & Observability

Logs, metrics, traces and alerting using CloudWatch, Azure Monitor and Cloud Monitoring.

🔀

Hybrid & Multi-Cloud

Connecting on-premises infrastructure to cloud and managing workloads across providers.

AWS vs Azure vs GCP — Side by Side

You will learn to compare, contrast and choose the right cloud platform for any workload. This comparative knowledge is what separates cloud architects from cloud operators.

Service Category 🟠 AWS 🔵 Microsoft Azure 🔷 Google Cloud
Virtual Machines EC2 Azure Virtual Machines Compute Engine
Object Storage S3 Azure Blob Storage Cloud Storage
Managed Kubernetes EKS AKS GKE
Serverless Functions Lambda Azure Functions Cloud Functions
Managed SQL DB RDS Azure SQL Database Cloud SQL
NoSQL Database DynamoDB Cosmos DB Firestore / Bigtable
Data Warehouse Redshift Azure Synapse BigQuery
CDN CloudFront Azure CDN Cloud CDN
CI/CD Pipeline CodePipeline Azure DevOps Cloud Build
Monitoring CloudWatch Azure Monitor Cloud Monitoring
AI / ML Platform SageMaker Azure ML Vertex AI
Identity & Access IAM Azure Active Directory Cloud IAM
Market Share (India) #1 — ~35% #2 — ~32% #3 — Growing fast
Best For Breadth & startups Enterprise & Microsoft shops Data, AI & analytics

Complete Course Curriculum

10 structured modules covering cloud fundamentals, all three platforms, DevOps, security, databases, AI services and certification preparation — with 60+ real labs throughout.

01

Cloud Computing Foundations

Week 1
  • What is cloud computing? On-prem vs cloud vs hybrid vs multi-cloud
  • IaaS, PaaS, SaaS — explained with real company examples
  • Virtualisation: VMs, hypervisors, containers and how they differ
  • Cloud deployment models: public, private, hybrid, community cloud
  • Overview of AWS, Azure and GCP — history, strengths, global reach
  • Lab: Create your first free-tier accounts on AWS, Azure and GCP
02

Compute Services — Across All 3 Clouds

Week 1–2
  • Virtual machines: EC2 (AWS), Azure VMs and GCE (GCP) — comparative hands-on
  • Auto-scaling and load balancing concepts across platforms
  • Serverless compute: Lambda vs Azure Functions vs Cloud Functions
  • Containers: Docker fundamentals and container lifecycle
  • Kubernetes basics: pods, deployments, services — KubeCTL hands-on
  • Lab: Deploy the same web app on all three cloud platforms and compare cost & performance
03

Storage & Databases in the Cloud

Week 2
  • Object storage: S3, Azure Blob and Cloud Storage — policies and lifecycle rules
  • Block and file storage across AWS EBS, Azure Disk and GCP Persistent Disk
  • Managed relational databases: RDS, Azure SQL, Cloud SQL — setup and failover
  • NoSQL databases: DynamoDB, Cosmos DB and Firestore — when to use each
  • Data warehousing: Redshift vs Synapse vs BigQuery — a comparative overview
  • Lab: Build a multi-tier data storage architecture using cloud-managed services
04

Cloud Networking — VPCs, DNS & Security Groups

Week 3
  • VPC design: CIDR blocks, subnets, routing tables across AWS, Azure and GCP
  • Security groups, NACLs and firewall rules — practical configuration
  • Load balancers: ALB, Azure LB, GCP HTTPS LB — setup and health checks
  • Cloud DNS: Route 53, Azure DNS, Cloud DNS — domain routing hands-on
  • CDN: CloudFront vs Azure CDN vs Cloud CDN for performance optimisation
  • Lab: Design and configure a production-grade multi-tier VPC on AWS
05

Cloud Security & IAM

Week 3–4
  • Shared responsibility model — what cloud covers vs what you must secure
  • IAM deep dive: users, groups, roles, policies — AWS IAM practical labs
  • Azure Active Directory, RBAC and Managed Identities for app authentication
  • GCP Cloud IAM, service accounts and Workload Identity Federation
  • Encryption at rest and in transit: KMS across all three platforms
  • Lab: Conduct a full security review of a cloud environment and remediate risks
06

DevOps, CI/CD & Infrastructure as Code

Week 4–5
  • What is DevOps? CI/CD pipeline concepts and the DevOps lifecycle
  • Infrastructure as Code: Terraform basics — provision cloud resources with code
  • AWS CodePipeline, Azure DevOps and Cloud Build — CI/CD hands-on
  • GitHub Actions integration with all three cloud platforms
  • Docker + cloud container registries: ECR, ACR and Artifact Registry
  • Lab: Build a complete CI/CD pipeline: code commit → automated build → cloud deploy
07

Cloud Databases & Analytics

Week 5
  • Managed database services deep dive: performance, scaling, backups, replicas
  • Data warehouse comparison: Redshift, Azure Synapse and BigQuery — SQL labs
  • Stream processing: Kinesis (AWS), Azure Event Hubs, GCP Pub/Sub
  • ETL and data pipelines: AWS Glue, Azure Data Factory, GCP Dataflow overview
  • Connecting cloud databases to BI tools: Power BI, Looker Studio, Tableau
  • Lab: Build an end-to-end data pipeline from ingestion to BI dashboard on cloud
08

Cloud AI, ML & Pre-Built Intelligence Services

Week 6
  • Pre-built AI services: image recognition, NLP, speech-to-text across platforms
  • AWS AI: Rekognition, Comprehend, Transcribe, Polly — practical labs
  • Azure AI: Cognitive Services, Azure OpenAI, Form Recognizer — hands-on
  • GCP AI: Vision API, Natural Language API, AutoML, Vertex AI overview
  • Building a simple AI-powered application using cloud APIs — no ML code
  • Lab: Build an intelligent document processing system using pre-built cloud AI
09

Cloud Monitoring, Cost Optimisation & Governance

Week 7
  • Cloud monitoring: CloudWatch, Azure Monitor and Cloud Monitoring — dashboards
  • Log management: CloudTrail, Azure Activity Logs, GCP Cloud Logging
  • Cost optimisation: Reserved Instances, Savings Plans, Committed Use Discounts
  • Cloud governance: tagging policies, budget alerts, cost allocation and FinOps
  • Well-Architected Framework: AWS, Azure and GCP design principles
  • Lab: Set up a complete monitoring and cost governance system across a cloud account
10

Certification Prep, Architecture & Capstone

Week 8–10
  • AWS Cloud Practitioner (CLF-C02) — domain review and mock exam
  • Microsoft Azure Fundamentals (AZ-900) — domain review and practice test
  • Google Cloud Digital Leader — exam domains and preparation
  • Cloud architecture patterns: high availability, disaster recovery, serverless
  • Capstone: Design and present a multi-cloud architecture for a real business scenario
  • Portfolio: Document all projects for GitHub, resume and interview preparation

3 Entry-Level Cloud Certifications — All Covered

This course is the most efficient path to getting certified across all three major cloud platforms — without taking three separate courses.

🟠

AWS Certified Cloud Practitioner

The world's most popular entry-level cloud certification. Validates broad understanding of AWS cloud concepts, services, pricing and security. Recognised by 2.5 lakh+ Indian companies using AWS.

CLF-C02 · Foundational
🔵

Microsoft Azure Fundamentals

Microsoft's entry-level cloud certification covering core Azure services, pricing, SLAs and cloud concepts. Highly valued by enterprises, consulting firms and Microsoft partner companies in India.

AZ-900 · Foundational
🔷

Google Cloud Digital Leader

GCP's business-focused entry certification covering cloud strategy, data, infrastructure and AI. Ideal for professionals who need GCP knowledge without deep technical specialisation.

CDL · Foundational

From Zero to Cloud Professional — Step by Step

Here is exactly how we take you from no cloud experience to job-ready in 8–10 weeks.

Week 1 — Cloud Foundations & Setup

Build your mental model of cloud computing. Set up free-tier accounts on all 3 platforms. Complete your first 5 labs.

⚡ Zero prior experience needed

Week 2–3 — Compute, Storage & Networking

Deploy VMs, containers and serverless functions. Design VPC networks. Build storage architectures. Compare AWS, Azure and GCP side by side.

⚡ 10+ hands-on labs

Week 4–5 — Security, DevOps & CI/CD

Configure IAM, encryption and security controls. Build your first CI/CD pipeline. Provision infrastructure with Terraform.

⚡ Real GitHub-to-cloud pipelines

Week 6 — Databases, Analytics & AI Services

Build data pipelines. Query BigQuery / Redshift. Use pre-built AI APIs to add intelligence to applications — no ML expertise needed.

⚡ Live data engineering labs

Week 7 — Monitoring, Cost & Governance

Set up monitoring dashboards, budget alerts and cost governance. Learn FinOps fundamentals and cloud optimisation best practices.

⚡ Cloud cost reduced by 30–40%

Week 8–10 — Certification Prep & Capstone

Dedicated exam preparation for AWS CLF-C02, Azure AZ-900 and GCP CDL. Capstone architecture project. Portfolio finalisation. Mock interviews.

⚡ 3 cert exams aligned

40+ Cloud Services & Tools You Will Work With

AWS Console
EC2
S3
Lambda
RDS
CloudWatch
IAM
Azure Portal
Azure VMs
Blob Storage
Azure Functions
Azure SQL
Azure Monitor
Azure AD
GCP Console
Compute Engine
Cloud Storage
Cloud Functions
BigQuery
Cloud Monitoring
Cloud IAM
Docker
Kubernetes
Terraform
GitHub Actions
VS Code
Looker Studio
Power BI

Built For Everyone Who Wants to Work in Cloud

🎓

Complete Beginners & Freshers

No IT background? No problem. This course is designed from the ground up for people who have never touched a server or cloud platform. We make cloud accessible, practical and career-launching.

💻

Software Developers

Frontend, backend and full-stack developers who want to deploy, scale and manage their applications on cloud — and command significantly higher salaries at cloud-first companies.

🔧

System & Network Admins

IT ops, sysadmin and network engineers who want to transition their on-premises skills into cloud engineering and become cloud infrastructure professionals.

📊

Data Analysts & BI Professionals

Analysts who want to leverage cloud data services like BigQuery, Redshift and Azure Synapse for scalable analytics — and move into cloud data engineering roles.

🏢

Business & Non-Tech Professionals

Managers, consultants and business analysts who need to understand cloud technology well enough to evaluate vendors, lead cloud projects and communicate with technical teams.

🔄

IT Career Switchers

Professionals from testing, IT support, SAP, ServiceNow or other IT domains who want to add cloud skills and move into one of India's highest-paying technology specialisations.

What You Will Be Able to Do After This Course

Deploy and manage virtual machines, containers and serverless functions on AWS, Azure and GCP

Design secure, scalable VPC networks with load balancers, firewalls and DNS across all cloud platforms

Configure IAM policies, service accounts and encryption across AWS, Azure Active Directory and GCP IAM

Build and deploy CI/CD pipelines from GitHub to cloud production environments using Terraform

Query petabyte-scale datasets with BigQuery, Redshift and Azure Synapse for real business analytics

Integrate pre-built AI APIs (vision, NLP, speech) into applications without writing ML code

Set up cloud monitoring dashboards, cost alerts and governance policies to keep cloud spend in control

Pass the AWS Cloud Practitioner (CLF-C02) and Azure Fundamentals (AZ-900) certification exams

Design multi-cloud and hybrid cloud architectures aligned with the AWS, Azure and GCP Well-Architected Frameworks

Build a professional cloud project portfolio with documented architectures ready for job interviews

Where This Course Can Take You

Cloud professionals are the fastest-growing and best-compensated segment of India's IT workforce.

☁️

Cloud Support Engineer

First cloud role — AWS/Azure/GCP support
₹4–8 LPA
🔧

Cloud Infrastructure Eng.

Build & manage cloud environments
₹7–18 LPA
🏗

Cloud Solutions Architect

Design enterprise cloud systems
₹15–35 LPA
⚙️

DevOps / SRE Engineer

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

Cloud Data Engineer

BigQuery, Redshift & pipelines
₹8–24 LPA
🔐

Cloud Security Engineer

Cloud security & compliance
₹10–25 LPA
💼

Cloud Consultant

Advise clients on cloud adoption
₹12–28 LPA
🌐

Multi-Cloud Architect

Architect cross-platform solutions
₹20–40 LPA

What Our Students Say

★★★★★

I joined with absolutely zero IT background — I was in retail management. The Cloud Essentials course at Aapvex explained everything from first principles. I cleared the AWS Cloud Practitioner exam in my first attempt and got placed as a Cloud Support Engineer. The trainer was outstanding.

T
Tanvi S. Cloud Support Engineer, IT Services Company, Pune
★★★★★

What sets Aapvex apart is the depth of hands-on content. I worked on real AWS, Azure AND GCP during the same course — not just one platform. When I interview now, I can speak confidently about all three. Got a 65% salary hike compared to my previous developer role.

K
Karan P. DevOps Engineer, SaaS Startup, Bangalore
★★★★★

The BigQuery and Dataflow modules were life-changing. I was a SQL analyst before — now I build cloud data pipelines at scale. The comparative approach — AWS vs Azure vs GCP — gave me architectural thinking I didn't have before. Best tech investment I've ever made.

M
Meera N. Cloud Data Engineer, Analytics Firm, Hyderabad

Everything You Need to Know

Can't find your answer? WhatsApp us at 7796731656 — we respond within minutes.

Yes — this is designed as a zero-to-cloud course. We start from what a server is, what the internet does, and build up systematically. Many of our most successful students have come from completely non-technical backgrounds including finance, retail, HR and administration. If you can use a laptop and are committed to learning, you can complete this course.

Three reasons. First, most large companies in India use more than one cloud platform — being multi-cloud literate makes you employable at a much wider range of companies. Second, understanding all three gives you architectural thinking that single-platform knowledge cannot. Third, you can attempt three entry-level certifications instead of one — significantly strengthening your resume. We cover each platform in enough depth for professional use and certification, while maintaining a manageable pace.

The course is aligned with three certifications: AWS Certified Cloud Practitioner (CLF-C02), Microsoft Azure Fundamentals (AZ-900) and Google Cloud Digital Leader. These are the three most widely recognised entry-level cloud certifications in India. The final two weeks are dedicated to certification revision and mock exams. We provide practice question banks for all three exams.

You will work in real, live cloud environments throughout the course. We provide guidance on setting up free-tier accounts on AWS, Azure and GCP — all three platforms offer free tiers generous enough for this course. All 60+ labs are conducted in real cloud consoles with real services and real data. You will never be asked to work in a simulator.

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 scholarship offers or early-bird discounts.

You will build 8+ portfolio projects including: a 3-tier web application deployed on all three cloud platforms for comparison, a cloud networking architecture with VPC and security groups, a CI/CD pipeline from GitHub to cloud production, a data analytics pipeline with a BI dashboard, an AI-powered document processing application using pre-built cloud APIs, a cloud cost governance setup and a capstone multi-cloud architecture design.

Official vendor training is excellent for understanding their own platform — but it doesn't cover multiple platforms comparatively, doesn't provide live mentorship, doesn't give you structured feedback on your labs and doesn't help you get a job. At Aapvex you get live trainer-led sessions, real-time doubt resolution, peer learning, resume support, mock interviews and active placement assistance. The vendor training can supplement what we cover — it doesn't replace it.

Yes — 100% placement support is included. We help with resume rewriting for cloud roles, LinkedIn optimisation, technical mock interviews covering all three platforms, referrals to our network of 200+ hiring companies and 6 months of active job alerts post-completion. Our hiring partners include IT services firms, GCCs, cloud-native startups, consulting companies and enterprise IT departments.

Batches are capped at 15–20 students to ensure personal attention and real-time interaction. Live sessions run 3 times per week, approximately 2 hours per session. Recorded sessions are available for revision. Weekend-only batches are available for working professionals. You also get access to a private student community and direct trainer WhatsApp access for doubt resolution throughout the course.

Yes — the complete programme is available as live interactive online sessions via Zoom. Students from Bangalore, Hyderabad, Mumbai, Delhi NCR, Chennai, Nagpur and many smaller cities attend each batch. The online experience is identical to the classroom programme in every respect — trainer, labs, projects and placement support included.

📍 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.

Start Your Cloud Career Today

5 lakh+ cloud jobs. 3 platforms. 1 course. Your next batch starts soon — and seats are limited. One WhatsApp message gets you started.

💬 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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