AWS MASTERY

THE CORPORATE READINESS

BLUEPRINT

HIGH-DEMAND PROGRAM | INSTRUCTOR-LED LIVE

Built by Ex-AWS Cloud Engineers,

this program transforms you into a

job-ready production-level AWS professional.

APPLY FOR PROGRAM

LEARN FROM THE INDUSTRY EXPERTS – EX AWS

ARCHITECTURE

500+

Enterprise Architectures they
personally designed

CLIENT TRUST

100+

Fortune 100 accounts
they were trusted to support

MENTORSHIP

100+

AWS new-joiners
they personally onboarded

HIRING PANELS

300+

Candidates they interviewed for AWS roles

KNOWLEDGE TRANSFER

50+

Technical Sessions
they delivered to clients

WAR ROOMS

50+

Live incident & boot-camp sessions they ran

EVERY STAGE OF YOUR CLOUD JOURNEY

Whether you're just starting out or stuck in your career, this program is engineered to get you hired.

STUDENTS & FRESH GRADUATES

CAMPUS ANXIETY

CLOUD JOB OFFERS

CERTIFIED BUT JOB-SEEKING

EXAM PASS, NO HIRE

INTERVIEW CONFIDENCE

IT PROFESSIONALS UPSKILLING

ON-PREMISE IT ROLE

CLOUD SPECIALIST

CAREER CHANGERS

STUCK IN CURRENT FIELD

HIGH-GROWTH TECH CAREER

COMPLETE BEGINNERS

WHAT IS AWS?

PRODUCTION-READY SKILLS

WHY MOST AWS LEARNERS

NEVER LAND THE JOB

The cloud job market is booming. Yet thousands of learners remain

unemployed — because they're being trained the wrong way.

  • Drowning in theory instead of real AWS practice

  • Zero corporate readiness

  • No structured learning path

  • Learning alone without mentorship

DROWNING IN THEORY, NOT PRACTICE

Most courses focus on theory and exam prep, not practical skills. You memorize services but can't build real solutions. When asked to design actual architectures, you freeze.

ZERO CORPORATE

READINESS

Technical knowledge alone isn't enough.

You're missing training on resumes, interview skills, and soft skills needed in enterprise environments.

NO CLEAR  

LEARNING PATH

Endless content from various sources leaves

you confused. You spend more time choosing what to learn than actually learning. Knowledge becomes fragmented.

LEARNING ALONE,

WITHOUT GUIDANCE

Self-paced learning leaves you isolated. No mentor, no peer group, no feedback. This leads many learners to abandon their cloud career goals.

APPLY FOR PROGRAM

WE SOLVE THE PROBLEMS

OTHER COURSES IGNORE

AWS Mastery: The Corporate Readiness Blueprint is built specifically to transform you from confused learner to hired cloud professional.

01

TRAINED BY EX-AWS PROFESSIONALS

  • Your trainers didn't just study AWS — they worked inside it

  • Enterprise experience

    building infrastructure

  • Production issue

    troubleshooting at scale

  • Best practices from real AWS environments

02

EVERY SESSION IS

HANDS-ON

  • No passive watching — you

    build from day one

  • Live labs on real AWS

    environments

  • Deploy, configure,

    troubleshoot services

  • Practice scenarios from

    actual jobs

03

STRUCTURED FOR

JOB OUTCOMES

  • Reverse-engineered from

    hiring manager demands

  • Master skills employers

    actually seek

  • Resume language that passes ATS systems

  • Interview prep with AWS expert strategies

  • Build job-ready confidence immediately

04

LIVE MENTORSHIP,

NOT RECORDINGS

  • This isn't a course you

    click through alone

  • Live sessions with real-time

    interaction

  • 1-on-1 doubt resolution

    when stuck

  • Mentor guidance tracking

    your progress

  • Direct expert access

    throughout journey

05

SMALL COHORTS,

REAL ATTENTION

  • Limited batch sizes ensure

    personalized focus

  • Every learner gets

    meaningful attention

  • Build relationships with

    cohort peers

  • Collaborative learning environment

  • Your questions matter and get answered

06

REAL-WORLD ARCHITECTURE

SCENARIOS

  • Practice production-grade

    architectures

  • Design solutions companies

    deploy

  • Work with enterprise

    requirements

  • Master complex service

    integrations

  • Build portfolio projects that impress

IS THIS FOR YOU?

We've designed pathways for every stage of your cloud journey.

FRESH GRADUATES

CS/IT graduates ready to launch their careers with hands-on, job-ready cloud skills.

FROM THEORY TO PRACTICE

LAND YOUR FIRST CLOUD JOB

WORKING PROFESSIONALS

Tech professionals looking to deepen their expertise, specialise in cloud, and move into senior roles.

UPSKILL WITH PRODUCTION-GRADE SCENARIOS

SECURE A SENIOR CLOUD ROLE

CAREER SWITCHERS

Professionals from other domains ready to pivot into cloud computing with structured,

mentor-backed guidance.

TRANSITION CONFIDENTLY WITH MENTORSHIP

TRANSITION TO A HIGH-GROWTH CLOUD CAREER

COMPLETE BEGINNERS

Starting from zero with a strong drive to learn we'll take you from fundamentals to job-ready confidence.

START WITH FUNDAMENTALS

GAIN PRODUCTION-READY SKILLS AND CONFIDENCE

AWS MASTERY PROGRAM — ENROLL NOW

CHOOSE YOUR BATCH

COURSE PRICING

COURSE PRICE AT

₹25,999 INR

2 OPTIONS

All batches include the same program, mentors and outcomes.

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COURSE CURRICULUM

AWS CAREER PROGRAM — FULL SYLLABUS

Live Course · Built by Ex-AWS Engineers

Module 01 · Foundations · Week 1
Most people skip the foundation.
That's why they hit walls later.
Before any lab, any service, any line of CLI — you need to understand how AWS thinks. This module builds that mental model. Fast.
AWS Fundamentals Console + Billing Lab Beginner Friendly

Most beginners rush into launching EC2 without understanding AWS regions, availability zones, or why their bill is higher than expected. We start where production starts — with account hygiene, cost guardrails, and infrastructure geography — because getting this wrong costs money and creates security incidents on day one.

What you actually learn
Cloud mental model
  • Why cloud exists and what it replaces in a data centre
  • Regions, Availability Zones, and Edge Locations — how AWS delivers global resilience
  • Shared Responsibility Model — what AWS owns vs. what you own
  • AWS Support plans and when each tier matters
Account & billing setup
  • Free Tier mechanics — what's always free vs. 12-month free vs. trial
  • Setting up billing alerts before your first resource
  • AWS Pricing Calculator — estimating cost before you build
  • Tagging strategy to track costs from day one
Core services map
  • Compute, Storage, Networking, Security — how AWS organises its 200+ services
  • Which services appear in every real architecture (not just tutorials)
  • Console, CLI, and SDK — the three ways to control AWS
  • AWS documentation structure — how to find answers at work
Account security baseline
  • Root user lockdown — why you never use it again after setup
  • MFA on root and IAM users — the one control that prevents most breaches
  • AWS Organizations basics for multi-account setups
  • CloudTrail — every API call logged from day one
What makes this module different
Most courses
Skip billing entirely
You set cost guardrails before touching a single service — and understand every charge on your bill
Most courses
One region, one AZ, no explanation
You understand AWS global infrastructure deeply enough to design for resiliency from lesson one
Most courses
Jump straight to EC2
You build the mental map first — so every service you learn after this clicks faster and sticks longer
Hands-on lab · AWS account setup done right
You secure and configure your AWS account like a pro
No skipped steps. No mystery bills. A properly hardened account before lab two.
30 min · Guided
1
Create account — AWS Free Tier with verified email and payment method
2
Lock root — enable Virtual MFA on root user immediately
3
Create IAM admin — least-privilege admin group and daily-use IAM user
4
Set billing alarm — CloudWatch alert at $5 to catch any surprise spend
5
Enable CloudTrail — turn on audit logging for the entire account
6
Explore console — navigate 5 core service pages and read your first API log
What you walk away with
A secure, production-ready AWS account
MFA on, billing alerts live, CloudTrail enabled — before any lab
AWS infrastructure geography
You can explain Regions, AZs, and Edge Locations in any interview
Cost clarity from day one
You understand the Free Tier deeply enough to never get surprise-billed
The AWS mindset
You understand the shared responsibility model — and where your obligation starts
Reverse-engineering the foundations
Troubleshooting mindset
Most courses teach you what things are. Here you also learn to work backwards — starting from a broken or unexpected outcome and tracing it back to the foundational concept that explains it. This is what makes knowledge stick.
When billing surprises you
Start from the charge, not the service. Trace the cost back through usage, region, and resource type — this forces you to deeply understand how AWS pricing actually works.
When the console confuses you
Instead of clicking until something works, ask: which layer owns this — AWS or me? The Shared Responsibility Model becomes real when you apply it to figure out who controls what's broken.
When a region behaves differently
If a service works in one region but not another, you're learning geography and service availability the hard way — which is the way it actually lands in memory.
When CloudTrail shows an unexpected call
An unknown API event in your trail is a perfect reverse-engineering puzzle. Who called it, from where, at what time — understanding the log structure starts with reading the anomaly.
Career edge — what this gets you in interviews
Cloud Support AssociateJunior Cloud EngineerIT Ops moving to Cloud
Interviewers routinely ask "what's the difference between a Region and an AZ?" — this module makes that a gimme
Understanding the Shared Responsibility Model is a baseline expectation in every cloud security and compliance interview
Engineers who can explain AWS billing mechanics are rare — and immediately trusted in cost-conscious teams
Module 02 · Core Infrastructure · Weeks 2–3
Clicking "Launch Instance" is easy.
Understanding what you just launched is the job.
EC2 is the backbone of most real AWS architectures. This module teaches how engineers actually use it — from instance selection logic to 3-tier production deployment.
EC2 Deep Dive Linux + Windows Labs 3-Tier Architecture Lab

The most expensive EC2 mistakes aren't technical — they're about picking the wrong instance family, ignoring the Nitro hypervisor's capabilities, or not knowing when Spot saves you 80% vs. when it'll destroy your workload. We teach the decision framework AWS engineers use, not just the click-through.

What you actually learn
Instance selection mastery
  • Instance family taxonomy (t, m, c, r, x, i) — what each is optimised for
  • Xen vs Nitro hypervisor — why Nitro matters for performance and security
  • Naming convention decoded: what c6i.2xlarge actually tells you
  • Tenancy models: shared, dedicated instance, dedicated host — licensing and compliance implications
AMIs, EBS & backup
  • AMI internals — what's in a machine image and how to build your own
  • EBS volume types and IOPS — choosing gp3 vs io2 with numbers
  • Snapshot strategies and Data Lifecycle Manager for automated backup
  • EC2 migration using AMI export — cross-region and cross-account patterns
Operations & metadata
  • Instance Metadata Service (IMDSv2) — how apps access their own identity securely
  • User Data scripts — automating bootstrap configuration at launch
  • AWS CLI for EC2 — describe-instances, start/stop/terminate from command line
  • Instance pricing: On-Demand, Reserved, Spot, Savings Plans — cost optimisation strategies
Resilience & performance
  • EC2 placement groups — when to cluster vs. spread vs. partition
  • Scheduled and maintenance events — how AWS notifies and how you respond
  • EC2 performance optimisation — Enhanced Networking, ENA, and SR-IOV
  • Compliance with EC2 — dedicated hosts for BYOL and regulatory workloads
What makes this module different
Most courses
Launch t2.micro, done
You learn the full instance taxonomy and make cost-justified choices for real workloads — with numbers
Most courses
Skip hypervisor entirely
You understand how Nitro changes EC2 performance, security, and what instance types it unlocks
Most courses
One basic Linux lab
You deploy a full 3-tier architecture on both Linux and Windows — the way it runs in production
Hands-on lab · 3-Tier architecture on EC2
You build a real production-grade 3-tier architecture
Web tier, app tier, database tier — deployed on Linux and Windows EC2 instances with networking fundamentals applied.
75 min · Advanced Guided
1
Launch web tier — t3.micro with NGINX, User Data bootstrap, Elastic IP, and security group configuration
2
Launch app tier — private subnet EC2, security groups with tier isolation and least-privilege rules
3
Configure Windows EC2 — RDP access, IIS setup, instance store vs EBS comparison
4
Attach & resize EBS — add gp3 data volume, mount, write data, snapshot it
5
Simulate failure — terminate web tier, restore from custom AMI to validate backup strategy
6
Cost analysis — compare On-Demand vs 1-year Reserved pricing for your architecture using CLI
What you walk away with
Confident instance selection
You justify every EC2 choice with performance and cost math, not guesswork
EBS fluency
You understand every volume type, can size IOPS correctly, and automate snapshots
3-tier architecture experience
You've built the architecture pattern used in most enterprise production systems
Recovery confidence
You've simulated a failure and restored from AMI — a task most developers have never done
Reading EC2 failures backwards
Troubleshooting mindset
The real test of EC2 knowledge isn't launching an instance — it's diagnosing one that won't start, won't respond, or costs twice what it should. These scenarios train you to reason backwards from symptoms to cause.
When SSH times out
Work backwards through the network stack: security group inbound rule → subnet route table → Internet Gateway attachment → Elastic IP. Each layer you check reinforces how networking and compute connect.
When an instance won't start
Trace back through instance type availability, EBS volume limits, and AMI compatibility. The error message is the starting point, not the answer — following it to the root cause is the skill.
When costs are higher than expected
Start from the bill line item, trace back to the instance family and pricing model chosen. This backward walk solidifies the On-Demand vs Reserved vs Spot decision logic in a way a tutorial never does.
When User Data doesn't run
If your bootstrap script silently fails, reading the EC2 system log teaches you exactly how User Data is executed — timing, permissions, and failure modes you'd never encounter in a working demo.
Career edge — what this gets you in interviews
Cloud Support EngineerJunior DevOps / SRESolutions ArchitectFinOps Analyst
EC2 instance selection is a standard interview question for SA roles — you'll answer it with IOPS math, not gut feel
3-tier architecture knowledge is a baseline expectation in mid-level cloud engineering — you'll have built it hands-on
Being able to reduce compute costs 50–70% with Reserved or Spot is a valued skill that separates junior from mid-level engineers
Module 03 · Storage · Weeks 3–4
Storage is where teams waste money
and lose data they didn't back up.
EBS and S3 solve completely different problems. This module teaches you to choose the right storage type, configure it correctly, and never make the mistake of putting block storage where object storage belongs.
EBS + S3 Deep Dive CLI-based S3 Lab Lifecycle + Cost Optimisation

Storage mistakes are silent and expensive. Companies overpay on EBS volumes they could downgrade, keep data in S3 Standard when Glacier would cost 95% less, and skip versioning until a deletion incident. This module teaches the decision trees that AWS architects use — not a surface-level tour of the console.

What you actually learn
EBS fundamentals
  • Volume types (gp2, gp3, io1, io2, st1, sc1) — IOPS and throughput math for real workloads
  • EBS setup for Windows EC2 — attaching, formatting, and mounting volumes via Disk Manager
  • Snapshot policies with Data Lifecycle Manager — automating backup schedules
  • EBS encryption at rest — KMS keys, CMKs, and compliance requirements
S3 concepts & storage classes
  • Storage classes — Standard, IA, One-Zone-IA, Glacier, Intelligent-Tiering decision matrix
  • Bucket policies vs ACLs vs Object Ownership — which controls what and why ACLs are deprecated
  • Versioning — how it works, when to enable, and how to recover from accidental deletes
  • S3 Object Lock and Glacier Vault Lock for compliance and WORM requirements
Lifecycle & permissions
  • Lifecycle rules — automated transitions between storage classes with real cost modelling
  • Bucket policies — writing JSON policies for cross-account access and public hosting
  • S3 Transfer Acceleration — when it makes sense and how to measure the gain
  • Pre-signed URLs — time-limited secure access without exposing credentials
CLI & operations
  • AWS CLI S3 commands: cp, sync, mv, presign — used in real DevOps workflows
  • Multipart upload for large objects — why it matters and when it triggers automatically
  • CLI-based bucket creation, policy attachment, and versioning configuration
  • S3 Storage Lens — visualising spend and usage across buckets and accounts
What makes this module different
Most courses
"S3 has storage classes" — no math
You model the actual cost difference between Standard and Glacier for real access patterns
Most courses
Enable versioning, done
You understand how to recover from accidental deletes, and why versioning without lifecycle rules increases cost
Most courses
Console-only S3 demo
You use the CLI to automate S3 operations the way developers and DevOps engineers do in real pipelines
Hands-on lab · S3 setup, permissions, and CLI operations
You build a secured, versioned S3 bucket and automate its lifecycle
Console + CLI. You'll touch every major S3 config used in production, plus EBS setup on Windows.
50 min · Guided
1
Create bucket — block public access, versioning enabled, SSE-S3 encryption default
2
Bucket policy — write a JSON policy granting read to a specific IAM role only
3
CLI upload & sync — use aws s3 sync to mirror a local folder; verify object metadata
4
Versioning test — delete an object and restore it from a previous version
5
Lifecycle rule — auto-transition objects to S3-IA after 30 days, Glacier after 90
6
EBS Windows lab — attach a new gp3 volume to a Windows EC2, format in Disk Manager, and snapshot it
What you walk away with
Storage type decision skill
You can choose between EBS, S3, and storage classes with cost and access pattern reasoning
S3 CLI fluency
You operate S3 from the command line the way real DevOps engineers work every day
Lifecycle automation
You've built a rule that automatically reduces storage cost as data ages
Data recovery confidence
You've restored a deleted object and a Windows EBS volume — you'll never lose data to an accidental delete again
Diagnosing storage problems backwards
Troubleshooting mindset
Storage issues are silent until they're catastrophic. Learning to trace access errors, missing data, and runaway costs backwards through S3 and EBS logic cements the concepts far better than a clean demo ever could.
When S3 returns 403 Forbidden
Work backwards through the five access control layers: bucket policy → ACL → IAM policy → S3 Block Public Access → Object Ownership. Finding which layer is blocking teaches you the exact interaction between each control.
When an object disappears
Trace back through versioning state — was it a delete marker or a true permanent delete? Was versioning even enabled? This reverse walk makes the versioning model concrete and unforgettable.
When EBS performance degrades
Start from slow application reads and trace backwards through IOPS consumed, volume type limits, and burst credit balance. The IOPS maths becomes real when it explains a real slowdown.
When storage costs spike unexpectedly
Trace the bill back through storage class transitions and lifecycle rule gaps. Understanding why Glacier retrieval costs appeared teaches you the nuances of tiered pricing far faster than any lecture.
Career edge — what this gets you in interviews
Cloud EngineerData EngineerDevOps EngineerFinOps Analyst
S3 storage class selection and lifecycle policies are common in both Solutions Architect and Data Engineering interviews
Pre-signed URLs and bucket policies appear regularly in backend and API security discussions — you'll have built both
Cost optimisation through storage tiering is a real job skill that almost no course teaches with actual numbers
Explore the complete curriculum

Download the detailed brochure

Explore the complete curriculum

Download the detailed brochure

Explore the complete curriculum

Download the detailed brochure

Explore the complete curriculum

Download the detailed brochure

Explore the complete curriculum

Download the detailed brochure

Explore the complete curriculum

Download the detailed brochure

Explore the complete curriculum

Download the detailed brochure

INCLUDED WITH EVERY SESSION

WHAT YOU GAIN BEYOND THE CURRICULUM

Every session is loaded with practical value — real-world knowledge, insider expertise, and career-shaping insights woven directly into your learning journey.

INTERVIEW TIPS —

AS YOU LEARN

Interview prep happens throughout the program, not at the end. Every time a topic comes up that hiring managers love to test, you get targeted tips right then — so you absorb interview-ready thinking as you go.

CORPORATE

READINESS TRAINING

Understand how

professional cloud teams operate — how decisions get made, how issues escalate, and how communication flows

across organizations.

You'll enter your first role knowing how things actually work.

AWS INSIDER

TIPS

Gain the practical wisdom that only comes from years in the field — the cost traps to avoid, the architecture patterns that hold up under pressure, and the subtle decisions that separate

production-grade solutions.

LABS, PROJECTS &

REAL-WORLD

SCENARIOS

Build what you learn through structured hands-on labs and

projects grounded in real industry scenarios. By the time you're done, you won't just understand cloud concepts — you'll have the work to prove it.

CLOUD CAREER ROADMAP

PREPARE FOR ROLES AT WORLD-CLASS TECH

ORGANIZATIONS

Cloud expertise is the #1 most in-demand skill for the next decade. Our curriculum is designed to help you meet the engineering standards of top-tier global teams and high-growth startups.

ABOUT THE MENTORS

Learn from engineers who've built, broken, and fixed cloud systems at scale. Not trainers — practitioners.

DEEPAK DHAKER

Architects complex enterprise cloud solutions at scale. Specializes in robust system design, performance

optimization, and cost efficiency — driving large-scale cloud initiatives end to end.

PRADEEP CHAUHAN

Designs core compute solutions, complex network architectures, and large-scale AWS migrations. Specializes in building resilient, high-performance infrastructure for enterprise systems.

Download free brochure and kickstart your career.

CLOUD CAREER ROADMAP

PREPARE FOR ROLES AT

WORLD-CLASS TECH ORGANIZATIONS

Cloud expertise is the #1 most in-demand skill for the next decade. Our curriculum is designed to help you meet the engineering standards of top-tier global teams and high-growth startups.

Start your journey toward a career in High-Scale Cloud Engineering.

YOUR QUESTIONS, ANSWERED HONESTLY

We don't do vague promises. If you have a question that's not here, our team is happy to answer it on a call before you apply.

  • Live sessions with real-time Q&A

  • Ex-AWS professionals as instructors

  • Production-grade hands-on labs

Yes. We've designed the curriculum to meet you where you are. Whether you're a fresh graduate or transitioning from another tech role, we start from fundamentals and build up to production-level skills. What matters is your commitment, not your starting point.

This program provides job assistance — including mock interviews and resume reviews — but we don't guarantee a job. No ethical program can. What we guarantee is that you'll be significantly more capable and confident than the majority of candidates.

Udemy, YouTube, and most instructor-led programs teach you what AWS services are — concepts, theory, and controlled demos. We teach you how to apply them under real production conditions. Our instructors have handled production escalations for Fortune 100 enterprises and have designed scalable, robust, and highly available systems as Ex-AWS Professionals. That depth simply cannot be replicated in recorded courses.

Fortune 100 Escalations Ex-AWS Professional Scalable Architecture Design Highly Available Systems

Absolutely. We've had many certified candidates who kept getting rejected because they couldn't demonstrate hands-on skills in interviews. This program fills exactly that gap — from troubleshooting real production issues, diagnosing live system failures, and working through hands-on labs, to reviewing and understanding scalable architecture decisions and articulating your full thought process under interview pressure.

Certifications prove you can pass an exam. This program proves you can do the job.
Production Troubleshooting Hands-On Labs Scalable Architecture Review Interview Readiness

All sessions are live and instructor-led. You get real-time interaction, the ability to ask questions, and immediate feedback. Recordings of all sessions are also provided so you can revisit them at your own pace — but the live experience is where the real learning happens.

You don't need to be an expert to join — you need to be driven. This program is engineered to take people from diverse starting points and forge them into job-ready cloud professionals. The curriculum is structured to challenge you progressively, so no one gets left behind and no one gets held back.

The starting point doesn't define the outcome. The work you put in does.

This isn't a cloud course. It's a career accelerator with real AWS challenges, expert-led training, and a roadmap built to take you from your first lesson to your first offer.

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