Lab 01
Three-Tier Web Application
Secure, multi-AZ decoupled app: ALB + auto-scaling compute in private subnets + redundant RDS. Repeat the same pattern on Azure with VMSS + Azure SQL.
Become a multi-cloud engineer in 16 weeks.
Deep, provider-neutral cloud training on AWS and Azure — from the shared responsibility model to Terraform GitOps. Ship 6+ portfolio projects across two clouds. Get placed with 150+ hiring partners.
0% EMI availablePlacement guaranteeHands-on labs included
Multi-Cloud Engineer Track
Only 4 seats left
30-min call · no pressure · get a personal roadmap
16 wks
Cohort length
80+
Live labs
2
Clouds covered
93%
Placement rate
Alumni working at
DNMPramataResponsiveSocial Bytes Pvt LtdUPLDMG
Outcomes
What you'll be able to do on day one at your new job
Every module ends with a graded lab that mirrors what teams actually ship. No slides-only theory.
Explain IaaS, PaaS, SaaS trade-offs and the shared responsibility model to any stakeholder.
Provision VPCs / VNets with public and private subnets, gateways and route tables.
Choose block, object or file storage for the workload — EBS/S3/EFS or Disk/Blob/Files.
Design least-privilege IAM in AWS and Entra ID in Azure.
Deploy load-balanced, auto-scaling web fleets on both clouds.
Package apps in Docker; orchestrate on EKS and AKS.
Codify infra with Terraform for multi-cloud, multi-env deployments.
Wire full observability with CloudWatch and Azure Monitor.
- Module 01Weeks 1–2
Cloud Architecture Foundations
From on-prem hardware to elastic utility computing.
- HA, fault tolerance, scalability, elasticity
- Public, Private, Hybrid, Multi-Cloud
- IaaS vs PaaS vs SaaS
- Type-1 / Type-2 hypervisors
- Shared Responsibility Model
- Module 02Weeks 3–5
Core Infrastructure (AWS + Azure)
Foundational primitives on both clouds.
- Compute sizing & pricing models
- Block: EBS / Azure Disk
- Object: S3 / Azure Blob (versioning + lifecycle)
- File: EFS / Azure Files
- VPC & VNet, subnets, gateways
- IAM & Microsoft Entra ID
- Module 03Weeks 6–7
Networking, Scalability & Resilience
Enterprise pipelines that survive outages.
- Application, Network, Gateway Load Balancers
- Auto Scaling engines & metric thresholds
- CDNs: CloudFront & Front Door
- DNS routing strategies (Route 53)
- Module 04Weeks 8–10
Cloud Native, Serverless & Microservices
Decouple architecture from permanent servers.
- Dockerfiles & optimized images
- EKS and AKS orchestration
- Lambda & Azure Functions triggers
- API Gateway, SQS, SNS, Service Bus
- Module 05Weeks 11–12
Cloud Databases & Big Data
Relational, NoSQL and analytics at scale.
- RDS & Azure SQL with Multi-AZ failover
- DynamoDB & Cosmos DB
- Redshift, BigQuery, Snowflake fundamentals
- Read replicas & sharding
- Module 06Weeks 13–14
DevOps, IaC & Observability
Automated deployment pipelines.
- Terraform (primary) + CloudFormation & ARM
- CI/CD with GitHub Actions & Jenkins
- CloudWatch, CloudTrail, Azure Monitor
- Alerting & dashboards
- Module 07Weeks 15–16
AI & ML on Cloud (Modern Add-on)
MLOps platforms and pre-trained cognitive APIs.
- AWS SageMaker & Azure ML basics
- Google Vertex AI overview
- Pre-trained Vision & NLP APIs
- When to build vs consume AI
Mandatory capstone labs
Projects you'll actually ship
Lab 02
Serverless Data Pipeline
Object Storage upload triggers a serverless function that parses metadata and writes entries into a NoSQL table (DynamoDB / Cosmos DB).
Lab 03
GitOps IaC Deployment
GitHub repo tracks a Terraform config that provisions a multi-environment cloud infrastructure via GitHub Actions on code approval.
1,800+
Alumni placed
150+
Hiring partners
8 yrs
Training experience
12
Max cohort size
Student stories
Real placements. Real hikes. Real portfolios.
"The multi-cloud framing changed how I answer architecture interview questions. I stopped thinking in one provider's vocabulary."
S
Sneha Kulkarni
Cloud Engineer · fintech
"Building the same 3-tier app on AWS AND Azure back-to-back made concepts stick in a way single-cloud courses never did."
R
Rahul Deshmukh
DevOps Engineer
"Terraform GitOps was the skill that got me shortlisted. My interviewer literally opened my repo mid-call."
F
Fatima Sheikh
SRE · SaaS unicorn
"Faculty reviewed lab PRs like a real code review. That level of feedback is rare."
N
Nikhil Menon
Cloud Consultant · Big 4
Certification prep included
Walk out cert-ready — not just job-ready.
Multi-cloud cert-prep with mock exams, question banks and 1:1 doubt clearing. Alumni typically leave with 2 associate-level certifications.
AWS Solutions Architect – Associate
AZ-104 Azure Administrator
Terraform Associate (HashiCorp)
AWS Cloud Practitioner + AZ-900
FAQ
Everything parents & partners ask
Why learn two clouds at once?
Most companies today run at least two providers. Employers pay a 20-35% premium for engineers who can defend architecture choices across both — this course teaches that fluency.
Do I need cloud experience before joining?
No. We start with the shared responsibility model and ramp up progressively. Basic Linux and one programming language is enough.
Do I get real cloud credits?
Yes — both AWS and Azure sandbox accounts with credits. Every graded lab runs on your own consoles.
Will this prepare me for certifications?
Yes. The curriculum maps to AWS SAA and AZ-104 objectives, plus a Terraform Associate prep track. Two dedicated cert-prep weeks included.
What's the placement support?
Resume rewrites, 3 mock interviews per learner, portfolio reviews and direct referrals to 150+ hiring partners. Support continues until you're placed.
What's the fee and are EMIs available?
Fee is ₹95,000 all-inclusive. 0% interest EMIs across 6, 9 and 12 months. Scholarships for women returnees and tier-3 students.
Next cohort · Aug intake
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