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Become an AWS Certified engineer in 14 weeks.

Mentor-led AWS training built around the Well-Architected Framework — IAM, VPC, EC2 Auto Scaling, S3, Lambda, EKS & CloudFormation. Ship 7+ portfolio projects. Get placed with 150+ hiring partners.
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0% EMI availablePlacement guaranteeHands-on labs included
AWS Cloud Engineer Track
Only 5 seats left
  • 14 weeks · live mentor-led
  • 70+ hands-on AWS console + CLI labs
  • 3 capstone projects + GitHub review
  • Weekly 1:1 with your assigned mentor
  • Cert prep for AWS SAA + SysOps
  • Lifetime placement support
    • Book free counselling call
    30-min call · no pressure · get a personal roadmap
    14 wks
    Cohort length
    70+
    Live labs
    9.4/10
    Alumni rating
    94%
    Placement rate
    Alumni working at
    FlipkartSwiggyRazorpayPhonePeFreshworksZomatoCredPostmanMeeshoGroww
    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.

    Design production AWS environments using Organizations, SCPs and IAM least-privilege.

    Provision auto-scaling EC2 fleets behind Application & Network Load Balancers.

    Architect custom VPCs with public/private subnets, NAT gateways, VPC Endpoints and Bastion access.

    Choose the right database — RDS, Aurora, DynamoDB, Redshift — for the workload.

    Ship serverless apps with Lambda, API Gateway, SQS, SNS and Step Functions.

    Run containers on ECS, EKS and Fargate with private ECR images.

    Automate infra with CloudFormation & Terraform; enforce compliance with AWS Config.

    Instrument apps end-to-end with CloudWatch, CloudTrail, X-Ray and GuardDuty.

    14-week curriculum

    Nine modules. One production-shaped path.

    Get the detailed syllabus PDF
    1. Module 01
      Week 1

      Cloud Concepts & Global Infrastructure

      Regions, AZs, edge locations and the Well-Architected Framework.

      • Regions, AZs, Edge & Local Zones
      • Well-Architected 6 pillars
      • Console, CLI, SDK access
      • Cost Explorer, Budgets & Organizations
    2. Module 02
      Week 2

      Secure Identity & Access Management (IAM)

      Establish the security baseline before deploying anything.

      • Root protection, Users, Groups, Roles
      • Managed vs inline IAM policies
      • Permission Boundaries & SCPs
      • MFA, key rotation, federation
    3. Module 03
      Weeks 3–4

      Virtual Networking (Amazon VPC)

      Design isolated, secure networks with layered defense.

      • CIDR, public & private subnets, route tables
      • NAT Gateway vs NAT Instance
      • VPC Endpoints (Interface & Gateway)
      • Security Groups vs NACLs
      • Site-to-Site VPN & Direct Connect
    4. Module 04
      Weeks 5–6

      Core Compute (EC2 & Beanstalk)

      Provision virtual server capacity at any scale.

      • Instance families, AMIs, User Data
      • On-Demand, Spot, Savings Plans, RIs
      • EBS gp3/io2/st1, snapshots, encryption
      • Instance Store & Elastic Beanstalk
    5. Module 05
      Week 7

      Resilient Scaling & High Availability

      Systems that adapt to spikes and heal themselves.

      • ALB vs NLB, target groups
      • EC2 Auto Scaling & launch templates
      • Route 53 routing policies
      • Health checks & failover
    6. Module 06
      Weeks 8–9

      Scalable Storage Systems

      Master unstructured, shared and archival storage.

      • S3 buckets, versioning, pre-signed URLs
      • Lifecycle: Standard → IA → Glacier tiers
      • EFS & FSx (Windows / Lustre)
      • Snow Family & DataSync migrations
    7. Module 07
      Weeks 10–11

      Purpose-Built Databases

      Match the data layer to the workload.

      • RDS Multi-AZ, read replicas
      • Aurora global databases
      • DynamoDB modeling & global tables
      • ElastiCache Redis/Memcached
      • Redshift & Athena analytics
    8. Module 08
      Weeks 12–13

      Serverless, Microservices & Integration

      Decouple layers into serverless architectures.

      • Lambda execution model & limits
      • ECS, EKS & Fargate containers
      • API Gateway REST/HTTP
      • SQS, SNS, Step Functions
    9. Module 09
      Week 14

      Security, Governance & Observability

      Monitor, audit and detect anomalies continuously.

      • CloudWatch metrics, alarms, dashboards
      • CloudTrail audit logging
      • X-Ray tracing for microservices
      • KMS, Secrets Manager, WAF, GuardDuty
    Mandatory capstone labs

    Projects you'll actually ship

    Lab 01

    Secure Network & Compute Setup

    Build a custom VPC with isolated private subnets, configure a NAT gateway, and provision an EC2 server accessible only via Session Manager / Bastion.

    Lab 02

    Multi-AZ Auto-Scaling Web App

    Deploy a highly available web fleet behind an ALB with dynamic scale-out policies validated against simulated load tests.

    Lab 03

    Serverless Document Processing Pipeline

    S3 upload triggers a Lambda function that generates metadata thumbnails and writes properties to a DynamoDB table.

    Experienced faculty

    Learn from engineers who've operated this at scale

    Every instructor has 8+ years in production roles at companies whose logos you already know.

    K

    Karthik Menon

    Lead Instructor · ex-AWS

    11 yrs at AWS on the EC2 Auto Scaling & IAM teams. AWS Certified Solutions Architect – Professional.

    D

    Divya Ramesh

    Data & Serverless Faculty · ex-Freshworks

    Built Lambda + DynamoDB pipelines processing 30M events/day. AWS Data Analytics Specialty.

    A

    Aravind Menon

    DevOps Mentor · ex-Razorpay

    Ran EKS + Terraform for payments infra across 3 prod regions. CKA + AWS DevOps Pro.

    1,800+
    Alumni placed
    150+
    Hiring partners
    8 yrs
    Training experience
    12
    Max cohort size
    Student stories

    Real placements. Real hikes. Real portfolios.

    "I came in as a Java backend dev with zero AWS. By week 10 I was designing 3-tier architectures in mock interviews. Signed a Cloud Engineer offer 3 weeks before the cohort ended."
    S
    Sneha Kulkarni
    Cloud Engineer · fintech, Bangalore
    ₹18 LPA offer
    "The VPC + IAM depth alone was worth the fee. My team lead asked who trained me — that's when I knew the curriculum was current."
    R
    Rahul Deshmukh
    DevOps Engineer · SaaS unicorn
    62% hike
    "Mock interviews with the faculty were ruthless. They broke my architecture until I could defend every choice. Real interviews felt easy after that."
    F
    Fatima Sheikh
    Site Reliability Engineer
    SRE role in 8 wks
    "Every lab ran in my own AWS sandbox — not slides. Recruiters could see the projects in my GitHub, not just certifications."
    N
    Nikhil Menon
    Cloud Consultant · Big 4
    Career switch from ops
    Certification prep included

    Walk out cert-ready — not just job-ready.

    Two dedicated cert-prep weeks with mock exams, 800+ practice questions and 1:1 doubt clearing. 87% of alumni pass their first AWS cert on the first attempt.

  • AWS Certified Cloud Practitioner
  • AWS Solutions Architect – Associate
  • AWS SysOps Administrator – Associate
  • AWS Developer – Associate
    • FAQ

    Everything parents & partners ask

    Do I need cloud experience before joining?

    No. We start from AWS fundamentals — IAM, regions, EC2 — and ramp to production architectures. Basic Linux and one programming language is enough.

    Is the training online or in-person?

    Hybrid. Weekday live sessions online. Weekend labs, mock interviews and 1:1 mentor reviews at our HSR Layout campus in Bangalore (or online if you're remote).

    Do I get real AWS credits for the labs?

    Yes. Every student gets a sandbox AWS account with credits. Every mandatory lab is graded on your own console, not a simulator.

    Will this prepare me for AWS certifications?

    Yes. The curriculum covers 100% of Cloud Practitioner and ~90% of Solutions Architect Associate objectives. We run 2 dedicated cert-prep weeks.

    What's the placement support?

    Resume rewrites, 3 mock interviews per learner, portfolio reviews and direct referrals to 150+ hiring partners. Placement support continues until you land the role.

    What's the fee and are EMIs available?

    Fee is ₹85,000 all-inclusive. 0% interest EMIs across 6, 9 and 12 months. Scholarships available for women returnees and students from tier-3 cities.

    Next cohort · Aug intake

    Your Data Engineering career starts with a 30-min call.

    Talk to a mentor. Get an honest read on your background, a personalized roadmap, and full fee + EMI details. No pressure.

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