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.
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.
0% EMI availablePlacement guaranteeHands-on labs included
AWS Cloud Engineer Track
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
Get the detailed syllabus PDFNine modules. One production-shaped path.
- Module 01Week 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
- Module 02Week 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
- Module 03Weeks 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
- Module 04Weeks 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
- Module 05Week 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
- Module 06Weeks 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
- Module 07Weeks 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
- Module 08Weeks 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
- Module 09Week 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 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
"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
"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
"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
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.
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Generative AI
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- Agentic workflows
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Artificial Intelligence
Intermediate
AI - ML
Applied machine learning with real datasets and MLOps basics.
- Supervised + unsupervised
- Feature engineering labs
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- Tool + memory design
- Production agent capstone
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- REST + Auth
- Postgres deep-dive
- Deploy to production
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Data
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- Airflow + Spark labs
- Snowflake & BigQuery
- Kafka streaming
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- Client-style dashboards
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- Excel to Python
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Power BI
Tableau
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Advanced
Data Science
Statistics to ML with hands-on labs and a portfolio capstone.
- Kaggle-style hackathons
- End-to-end DS capstone
- Industry datasets
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PyTorch
scikit-learn
6 months · mentor-led
Cyber Security
Intermediate
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Offensive + defensive security with real-world lab environments.
- Pen-testing labs
- SOC + Blue team drills
- CEH-aligned prep
Kali
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Kubernetes, CI/CD and multi-cloud fundamentals in one track.
- K8s production labs
- GitOps with ArgoCD
- AWS / Azure / GCP intro
Docker
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4 months · mentor-led
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SEO, performance ads and analytics with live campaigns.
- Run real Meta & Google Ads
- GA4 + SEO deep-dive
- Portfolio-ready case studies
GA4
Meta Ads
Google Ads
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Intermediate
AWS Cloud Engineer
AWS training on the Well-Architected Framework: VPC, IAM, Lambda, EKS and IaC
- IAM, VPC and EC2 Auto Scaling
- Serverless with Lambda, SQS and Step Functions
- CloudFormation, Terraform and SAA prep
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EKS
14 weeks· mentor-led
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Microsoft Azure Cloud Engineer
Enterprise Azure training: identity, networking, AKS and Bicep, built on real labs.
- Entra ID, RBAC and Azure Policy
- VNets, VMSS, AKS and containers
- Bicep IaC and AZ-104 / AZ-305 prep
Azure
Bicep
AKS
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14 weeks· mentor-led
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Intermediate
Google Cloud Engineer
GCP training on real architectures: IAM, GKE, BigQuery, Vertex AI and Terraform.
- IAM, VPC and Load Balancing
- GKE, Cloud Run and BigQuery
- Terraform and ACE / PCA prep
GCP
GKE
BigQuery
Terraform
14 weeks· mentor-led
ARTIFICIAL INTELLIGENCE
Advanced
Deep Learning Engineer
Neural networks from scratch to Transformers, VAEs and GANs, built in PyTorch.
- Backprop from scratch in NumPy
- CNNs, YOLO, LSTMs and Transformers
- VAEs, GANs and Diffusion basics
PyTorch
NumPy
Lambda
EKS
14 weeks· mentor-led
Artificial Intelligence
Advanced
Generative AI
LLMs, RAG and agent frameworks — build production GenAI apps.
- Production RAG apps
- Fine-tune open LLMs
- Agentic workflows
LangChain
OpenAI
HuggingFace
5 months · mentor-led
Artificial Intelligence
Intermediate
AI - ML
Applied machine learning with real datasets and MLOps basics.
- Supervised + unsupervised
- Feature engineering labs
- Model deployment
Python
scikit-learn
XGBoost
MLflow
4 months · mentor-led
Artificial Intelligence
Beginner
Python AI
Python for AI — from syntax to your first ML models.
- Python fundamentals
- NumPy + Pandas
- ML crash course
Python
NumPy
Pandas
3 months · mentor-led
Artificial Intelligence
Advanced
Agentic AI
Design and ship autonomous AI agents that use tools and memory.
- Multi-agent systems
- Tool + memory design
- Production agent capstone
LangGraph
CrewAI
OpenAI
3 months · mentor-led
ARTIFICIAL INTELLIGENCE
Advanced
Deep Learning Engineer
Neural networks from scratch to Transformers, VAEs and GANs, built in PyTorch.
- Backprop from scratch in NumPy
- CNNs, YOLO, LSTMs and Transformers
- VAEs, GANs and Diffusion basics
PyTorch
NumPy
Lambda
EKS
14 weeks· mentor-led
Data
Intermediate
Data Engineer
Pipelines, warehouses and streaming at scale.
- Airflow + Spark labs
- Snowflake & BigQuery
- Kafka streaming
Spark
Airflow
Snowflake
Kafka
5 months · mentor-led
Data
Beginner
Data Analytics
SQL, Power BI & Python for confident data storytelling.
- Client-style dashboards
- Advanced SQL
- Excel to Python
SQL
Power BI
Tableau
3 months · mentor-led
Data
Advanced
Data Science
Statistics to ML with hands-on labs and a portfolio capstone.
- Kaggle-style hackathons
- End-to-end DS capstone
- Industry datasets
Python
PyTorch
scikit-learn
6 months · mentor-led
Full Stack
Intermediate
Python Fullstack
Django, FastAPI and React — ship full-stack Python apps.
- REST + Auth
- Postgres deep-dive
- Deploy to production
Python
Django
FastAPI
5 months · mentor-led
Cloud & DevOps
Intermediate
Devops - Cloud Computing
Kubernetes, CI/CD and multi-cloud fundamentals in one track.
- K8s production labs
- GitOps with ArgoCD
- AWS / Azure / GCP intro
Docker
Kubernetes
Terraform
4 months · mentor-led
Cloud & DevOps
Intermediate
AWS Cloud Engineer
AWS training on the Well-Architected Framework: VPC, IAM, Lambda, EKS and IaC
- IAM, VPC and EC2 Auto Scaling
- Serverless with Lambda, SQS and Step Functions
- CloudFormation, Terraform and SAA prep
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Terraform
Lambda
EKS
14 weeks· mentor-led
Cloud & DevOps
Intermediate
Microsoft Azure Cloud Engineer
Enterprise Azure training: identity, networking, AKS and Bicep, built on real labs.
- Entra ID, RBAC and Azure Policy
- VNets, VMSS, AKS and containers
- Bicep IaC and AZ-104 / AZ-305 prep
Azure
Bicep
AKS
Entra ID
14 weeks· mentor-led
Cloud & DevOps
Intermediate
Google Cloud Engineer
GCP training on real architectures: IAM, GKE, BigQuery, Vertex AI and Terraform.
- IAM, VPC and Load Balancing
- GKE, Cloud Run and BigQuery
- Terraform and ACE / PCA prep
GCP
GKE
BigQuery
Terraform
14 weeks· mentor-led
Cyber Security
Intermediate
Cyber Security
Offensive + defensive security with real-world lab environments.
- Pen-testing labs
- SOC + Blue team drills
- CEH-aligned prep
Kali
Burp Suite
Wireshark
Splunk
4 months · mentor-led
Digital Marketing
Beginner
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SEO, performance ads and analytics with live campaigns.
- Run real Meta & Google Ads
- GA4 + SEO deep-dive
- Portfolio-ready case studies
GA4
Meta Ads
Google Ads
3 months · mentor-led
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