Not another video course. A 12-week live cohort where you build real enterprise setups, solve real scenarios, and walk out ready to do this on the job.
You've watched the videos. You might even have a certification. You can answer the theory questions.
But when someone asks you to design a multi-account setup from scratch - or explain why a certain architecture decision was made - there's a gap.
That gap between "knowing AWS" and "doing AWS" in an enterprise context is exactly what this program closes.
This workshop doesn't try to fill you with information. It makes sense of that knowledge by building context - practical considerations on how to use these services to achieve real outcomes. Very similar to what you face in practical life.
This program demands real effort. It's designed to filter in the right people - and filter out the wrong ones.
Not a list of features. The actual reasons students have called this unlike anything they've taken before.
You're not learning a service and then finding use cases. You're given a real customer scenario and learning what's needed to solve it. The way it actually works in the industry.
Every session ends with an assignment. You solve it yourself - no hand-holding. The solution video comes after you've attempted it. Your gaps become visible. That's where learning happens.
You'll work in a team on a group assignment and present your solution live - just like you would in front of a real client or leadership team. No other online course does this.
Other programs rush you. This one doesn't. 12 weeks gives you time to absorb, get stuck, get unstuck, and build real confidence. Not just a certificate at the end.
Mayank has led cloud platforms at senior management level. AWS Community Hero. AWS Authorized Instructor. He teaches the decisions, not just the services.
Seats are limited intentionally. This is not a mass-enrollment course. You get real access to the instructor - including a 1-on-1 career guidance session.
Every AI workload - every model, every inference endpoint, every training job - runs on cloud infrastructure. Someone has to build that infrastructure. Secure it. Govern it. Stop it from costing a fortune.
That someone needs to understand VPCs, IAM, multi-account governance, cost controls, and security posture. Not vaguely. Deeply.
AI does not replace that knowledge. It amplifies it - but only if you have it in the first place.
If you don't understand the infrastructure, you can't ask AI the right question. You can't evaluate whether the answer is correct. You can't know when it's wrong.
Cloud fundamentals are not competing with AI skills. They are the prerequisite for using AI effectively at work.
Build the foundation first. Everything else follows.
Each topic maps to a real enterprise challenge. You learn by solving it, not by studying it.
Global infrastructure, shared responsibility model, support plans, and high availability patterns. The economics too - CapEx vs OpEx, the board-level case for cloud, how to handle the "$2M hardware refresh" objection. You'll also get introduced to FMW - the fictional enterprise you'll be consulting for across all 12 weeks. Every scenario from here runs through them.
How enterprises actually structure AWS - not a single account, but a governance model. AWS Organizations, OUs, SCPs and RCPs, IAM Identity Center with permission sets, delegated administrators for security tooling. IAM goes deep here: identity-based vs resource-based policies, cross-account role assumption, S3 cross-account access patterns, ABAC with tag conditions. Cost Explorer and Budgets set up early so you're tracking spend from the very start.
VPC design from scratch across multiple accounts. Transit Gateway with route tables for prod/non-prod isolation, VPC Endpoints, Route53 public and private hosted zones, Route53 Resolver for cross-account DNS. NACLs vs Security Groups - stateless vs stateful, hands-on. AWS Network Firewall as the cloud-native alternative to Squid proxies. Real cost decisions: NAT Gateway vs VPC Endpoints for S3, cross-AZ traffic costs, TGW attachment pricing. A Lucidchart architecture diagram is a deliverable - you document what you build.
EC2 with Launch Templates, Auto Scaling Groups with a real stress test, ALB and NLB - when to use which and why. RDS Multi-AZ, EFS shared storage across instances, S3 lifecycle policies. CloudFront in front of both a static S3 website and an ALB - custom domain, HTTPS via ACM, caching, price class decisions. PrivateLink for surgical service-level access between accounts without VPC peering. Reserved Instances vs Savings Plans - not theory, an actual Pricing Calculator exercise with real numbers. Your 3-tier FMW app goes live on AWS.
Containerise the FMW app end to end. Dockerfile, ECR with image scanning, ECS on EC2 then migrated to Fargate - task definitions, services, ALB integration, rolling deployments with zero downtime. The distinction between execution role and task role gets an explicit diagram - it confuses everyone. Secrets Manager for RDS credentials instead of config files. Container Insights for observability. Then EKS - when you'd choose it over ECS, key Kubernetes concepts explained without the usual noise, and a live cluster walkthrough.
KMS first - CMKs, key policies, EBS and RDS encryption, S3 SSE-KMS. Then the full security stack: GuardDuty with delegated administrator, Security Hub with AWS Foundational Security Best Practices standard, CloudTrail with ROOT user alerting, VPC Flow Logs shipped to Central Logging and queried via Athena, Config rules with Lambda auto-remediation (open port 22 gets closed automatically - you watch it happen). WAF protecting CloudFront with SQL injection rules, rate limiting, geo restriction. Macie for sensitive data discovery. IAM Permission Boundaries and IAM Access Analyzer with real findings. You'll produce a full security architecture diagram across all accounts as a deliverable.
CloudFormation in depth - parameters, drift detection, StackSets via Organizations to deploy and manage resources consistently across every account in your org. Service Catalog - portfolios, products, launch constraints, provisioning as a test user. Then Terraform: HCL basics, providers, variables, S3 backend for state - the enterprise standard. You'll rebuild an already-built stack in Terraform and compare the two approaches directly. Control Tower on a fresh AWS account - observe what it auto-creates and contrast it with what you built manually across sessions 01-06. GitHub Actions pipeline with OIDC authentication to AWS - no long-lived access keys, CloudFormation deploy on push, manual approval gate for production.
CloudWatch metrics, alarms, and Logs Insights queries. EventBridge rules for EC2 state changes, RDS backup completion, and Security Hub high-severity findings. EventBridge Scheduler for scheduled automation. Systems Manager: Run Command, Session Manager, Inventory, State Manager for enforcing CloudWatch agent across your tagged fleet. Parameter Store with SecureString for config values, Secrets Manager with automatic RDS password rotation. AWS CLI configured with SSO credentials - scripts to query instances across accounts and trigger Run Command on a fleet. Cost Explorer review with real spend data, cost anomaly detection, Savings Plans recommendations.
Not about building serverless apps - about how enterprises use these services to automate operations and integrate systems. Lambda across all three invocation models - synchronous, asynchronous, poll-based - with a real enterprise automation task. SQS standard vs FIFO queues, visibility timeout, dead letter queues - because silent failures in enterprise are dangerous. SNS fan-out. Then EventBridge custom bus tying it all together - the FMW app publishes events, rules route them to the right targets, the schema registry captures your custom event schema. The full event-driven pattern lands here as a complete picture.
The 6 Rs applied to real FMW application types - including licensing, PaaS challenges, and the gap between what the technical team wants and what the business is willing to fund. A DR design challenge involving a constraint most tutorials never touch - you'll need to think around it, not just follow a pattern. FinOps audit of everything you built - tag compliance, total spend, showback vs chargeback model, one reservation or Savings Plans call based on your actual data. Finally, a Well-Architected Review of the FMW workload across all six pillars using the AWS Well-Architected Tool - with Compute Optimizer recommendations from weeks of real utilisation data. This is your capstone individual assignment.
I've spent 15+ years in cloud and infrastructure - the last several at senior management level, leading cloud platform teams at scale. I know what cloud platforms at enterprises look like from the inside.
I started KnowledgeIndia to bridge the gap between theory and real work. Not to sell you another video course. To teach you how to think about cloud architecture - the trade-offs, the decisions, the things that aren't in the documentation.
Since 2020, hundreds of professionals from India, the US, Canada, Europe, and Australia have gone through this program. Many have transitioned into cloud roles. Some have been promoted. A Director of Product Engineering cleared AWS SA Pro after not being hands-on for a decade. I take that seriously.
These are unedited LinkedIn recommendations from past students.
"I had a mental block to get my hands dirty. Your training came in as a boon. The structured program, meaningful assignments, brilliant Q&A sessions, group discussions - helped me big time. I cleared the AWS Solutions Architect Professional yesterday."
"This is not your typical AWS reference course. Mayank explains difficult AWS concepts with the clarity you rarely find. You'll learn a technique to make reliable technical choices without getting paralyzed by the options."
"This workshop doesn't try to fill you with information. It makes sense of that knowledge by building context - practical considerations on how to use services to achieve real outcomes. Very similar to what you face in practical life."
"Even with prior hands-on AWS work experience, this course gave me a completely different way of approaching the cloud. The project is a real-time project that gives you the idea of how to understand customer requirements and implement them."
"Lot of core learnings with practical use cases which I didn't find anywhere else. This training helped me in my day to day job - I now have a much better understanding. I strongly recommend KnowledgeIndia."
"I could address any AWS issues in my workplace with ease because of the knowledge gained from this training. The best part was understanding core concepts in a way that applied directly to real scenarios."
A structured loop that builds real competence - not just familiarity.
New scenario introduced, concepts explained in depth, previous week's doubts cleared. You leave with your next assignment and study material.
Work through the material and solve the assignment yourself. Explore, get stuck, think it through. Ask doubts on Slack after you've genuinely tried.
On a set date mid-week, the solution video drops. Watch it after you've attempted the assignment. See where your approach matched, where it didn't, and why.
Go back into your setup. Fix what was stuck. Complete any steps you missed. Then show up to the next live session with real questions - not vague ones.
Two timezone options - suitable for US/Canada, UK/Europe, Middle East, India, Australia. Sessions are 2.5 hours each. Recorded for your timezone if you miss one.
One per session. You solve them yourself during the week. No hand-holding. This is where you actually build things on AWS.
After you attempt each assignment, Mayank releases a solution video. You compare your approach. Your gaps become visible. That's the learning.
Sessions run on Zoom. Camera on is expected from all participants - not optional. This is a live cohort, not a webinar. Presence and engagement matter.
Work with your group to design a complete cloud solution for a new scenario - not a recap of what you built. Different perspectives, debates, trade-off discussions. Exactly how it works in real teams.
Present your group's solution live to Mayank. He evaluates your architecture decisions, asks questions, and gives detailed feedback - exactly like a real client or leadership review.
Ask questions during the week. Mayank responds daily. You're not on your own between sessions.
One 30-minute personal session with Mayank - your career path, resume, interview approach. Included for every student.
10 quizzes across the program to test your understanding - with solution documents released afterwards.
All session recordings, solution videos, and study materials accessible for 100 days after the program ends.
Seats are limited intentionally. This is not a mass enrollment course.
No refunds after enrollment. Please review the YouTube channel and LinkedIn recommendations before signing up.
Unedited LinkedIn recommendations from past cohort participants.
The gap between knowing AWS and doing it at work doesn't close by itself. Join the next cohort.
Apply Now - $500 USD