
Himanshu Mudgal
Lead DevOps Engineer
Master AWS Cloud compute, networking, and security. Build real architectures with EC2, S3, VPC, Lambda, and EKS, automate with Terraform, and prepare for Solutions Architect certification with live labs.

Mastering the AWS Cloud requires moving past the web console and understanding how enterprise systems operate under real production load. When you build infrastructure that serves global users, spinning up an EC2 virtual machine is only step one. You need to configure security perimeters that pass external compliance audits, isolate traffic across multi-region networks, automate provisioning with code, and prevent runaway billing when traffic surges. In this program, you will design and deploy highly available architectures on Amazon Web Services from scratch, preparing for real responsibilities in cloud, backend, and platform roles.
Throughout the cohort, you will build concrete infrastructure on your own cloud account rather than clicking along with sanitized demos. Every architecture translates directly into a production asset you can show in technical interviews:
Building reliable infrastructure means planning for failure before it happens in production. You will implement the six pillars of the AWS Well-Architected Framework across compute, networking, and data layers. Instead of configuring services manually, you will use the AWS CLI v2 and Terraform to enforce reproducibility across your pipelines.
You will configure relational data engines with Amazon RDS PostgreSQL 16 in multi-AZ configurations, run Aurora read replicas to distribute query spikes, and build sub-millisecond caching layers with Amazon ElastiCache for Redis. If you are exploring multi-cloud environments, our Azure Cloud training and Google Cloud (GCP) course offer deep dives into alternative architectures. For advanced professional tracks, you can also explore the Microsoft Azure Solutions Architect AZ-305 Certification Training and the Microsoft Azure DevOps Solutions Architect (AZ-400) program.
This program is designed for software developers, systems administrators, site reliability engineers, and technical freshers who want to build and manage production-grade cloud systems. If you already work with container fundamentals from our Docker training or system administration via our Linux course, this training serves as the direct bridge to cloud-native platform engineering. If security operations and threat mitigation across environments are part of your team responsibilities, our Cybersecurity (SOC OPS, Cloud Security) course provides complementary knowledge. Engineers aiming for senior multi-cloud and system design responsibilities will find this curriculum aligns directly with the architectural rigor covered in our Advanced AI-Driven Full-Stack Cloud Architect Program.
Sessions run live online in an interactive cohort setting. You build along with working cloud engineers, writing templates, configuring networks, and troubleshooting errors inside your terminal. You will diagnose broken security group rules, resolve routing conflicts in route tables, debug cross-account IAM trust relationships, and tune auto-scaling policies to handle synthetic traffic spikes generated by load tools. Every session is recorded so you can revisit complex setups, and mentors review your infrastructure repositories one-on-one.
Hiring loops for Cloud Engineers, AWS Solutions Architects, and Platform Engineers test practical decision-making. Interviewers rarely ask you to recite definitions. Instead, they give you a system failure: a database connection pool exhausting under load, a public subnet exposing private databases, or an unexpected data-transfer bill between regions.
Expect deep technical inquiries into stateful security groups versus stateless NACLs, Aurora storage autoscaling mechanics, and S3 consistency models. Hiring managers look for engineers who can justify why they picked an ALB over an NLB, how they avoid cold-start penalties on AWS Lambda, and how they secure IAM roles without granting wildcard permissions. By deploying and defending eight complete production architectures in code, you build the muscle memory required to pass technical screening calls and production design rounds.
Take the next step in mastering the AWS Cloud by configuring your foundational IAM policies, provisioning your first VPC, and building live alongside our senior engineering mentors.
A structured curriculum with real tools and outcomes built for the workplace.
You can navigate the AWS global infrastructure, manage accounts securely, and set up your foundational environment.
Hands-on project: Provision a secure AWS account with billing alerts, root MFA, and a custom IAM administrative user using the AWS CLI v2 with named profiles.
You can construct precise IAM policies enforcing least privilege across users, groups, and service roles.
Hands-on project: Create least-privilege IAM policies, configure cross-account roles, and attach service-linked roles for automated EC2 backups.
You can launch, secure, and elastically scale virtual server fleets behind load balancers.
Hands-on project: Deploy an auto-scaling cluster of web servers behind an Application Load Balancer with custom health checks and instance refreshing.
You can configure durable object storage, lifecycle rules, and shared network file systems.
Hands-on project: Configure an S3 bucket with cross-region replication, bucket policies, and intelligent tiering alongside an attached EFS file share.
You can design isolated multi-tier cloud networks with custom routing, DNS, and content delivery.
Hands-on project: Build a custom VPC with public and private subnets, NAT gateways, VPC peering, and a CloudFront distribution fronting an ALB.
You can deploy managed relational, NoSQL, and in-memory caching data layers with automated failover.
Hands-on project: Deploy a multi-AZ Amazon RDS PostgreSQL instance with read replicas alongside a DynamoDB table with global secondary indexes.
You can build event-driven serverless APIs and workflows without provisioning servers.
Hands-on project: Build a serverless REST API using API Gateway, Lambda functions written in Python, and DynamoDB for persistent storage.
You can package, push, and orchestrate containerized applications using Amazon ECS and EKS.
Hands-on project: Deploy a containerized microservice to Amazon ECS using Fargate, backed by an image stored in Amazon ECR.
You can set up centralized logging, metric alarms, encryption key management, and cost budgets.
Hands-on project: Configure CloudWatch custom dashboards and alarms, enable CloudTrail auditing, and set up encryption keys via KMS with automated budget alerts.
You can provision and manage cloud infrastructure repeatably using CloudFormation, Terraform, and CI/CD pipelines.
Hands-on project: Build a complete three-tier infrastructure stack using Terraform and deploy application code via AWS CodePipeline.
You can clear AWS certification exams with structured test-taking strategies and targeted domain reviews.
Hands-on project: Complete timed practice exams for the AWS Solutions Architect Associate certification, analyzing score reports and rectifying weak domains.
You can cut an AWS bill with evidence and review a workload against AWS's own framework.
Hands-on project: Analyse a Cost Explorer export to find the three largest avoidable costs, implement budgets with alerts and a tagging policy, right-size from CloudWatch metrics, and deliver a Well-Architected review with ranked remediations.
You can design, build, test, and present an end-to-end production-grade cloud architecture on AWS.
Hands-on project: Build and deploy a complete production web application architecture on AWS using Terraform, featuring a custom VPC, secure database, auto-scaling compute, CI/CD pipeline, and full CloudWatch monitoring.
Every instructor here ships production code for a living and teaches the same week they deploy.
5 learners sharing their experience
The Full-Stack Java developer program at Squarebrackets completely transformed my career. Learning Spring Boot and microservices architecture alongside React and Next.js gave me the exact modern stack companies are looking for. Building real-time projects using Apache Kafka and RabbitMQ for message queuing gave me the practical confidence I needed to ace my system design rounds.
Ankit transitioned from a legacy support engineer to a high-paying product development role after completing his 6-month intensive Java and JavaScript full-stack training at our Noida campus.

Squarebrackets took me from not knowing what a gradient was to building and deploying CNNs and Transformers. The maths-first approach made everything click, and the mentors pushed me through every hard concept.
Completed the Deep Learning Course at Squarebrackets and landed a deep learning role within two months.

Squarebrackets gave me the complete AI picture — from search algorithms and Bayesian reasoning to building LLM agents. The maths-first approach meant nothing was a black box, and the mentors pushed me through every project.
Completed the Artificial Intelligence Course at Squarebrackets and moved into an AI engineering role within two months.

The Java Full-Stack and DSA course at Squarebrackets completely changed my career trajectory. The focus on raw problem-solving with DSA alongside hands-on Spring Boot and React projects gave me the practical skills I needed. I went from struggling with basic coding rounds to cracking my technical interview with absolute confidence.
Aniket joined Squarebrackets as a college senior looking to transition from theoretical academic projects to production-ready software development. After completing our rigorous training program, he secured a placement as an Associate Software Engineer.
The live cohort broke down complex concepts like Spring Boot transaction management and React state handling in a way that made immediate sense for production work. Having worked through real backend architectures during class, my daily code reviews at work became much smoother.
Completed the Java Full Stack live training while balancing a full-time role, upgrading engineering skills through rigorous hands-on sessions.

“The Full-Stack Java developer program at Squarebrackets completely transformed my career. Learning Spring Boot and microservices architecture alongside React and Next.js gave me the exact modern stack companies are looking for. Building real-time projects using Apache Kafka and RabbitMQ for message queuing gave me the practical confidence I needed to ace my system design rounds.”

Software Engineer, Student
“Squarebrackets took me from not knowing what a gradient was to building and deploying CNNs and Transformers. The maths-first approach made everything click, and the mentors pushed me through every hard concept.”

Student
“Squarebrackets gave me the complete AI picture — from search algorithms and Bayesian reasoning to building LLM agents. The maths-first approach meant nothing was a black box, and the mentors pushed me through every project.”

Student
“The Java Full-Stack and DSA course at Squarebrackets completely changed my career trajectory. The focus on raw problem-solving with DSA alongside hands-on Spring Boot and React projects gave me the practical skills I needed. I went from struggling with basic coding rounds to cracking my technical interview with absolute confidence.”
Associate Software Engineer, Capgemini
“The live cohort broke down complex concepts like Spring Boot transaction management and React state handling in a way that made immediate sense for production work. Having worked through real backend architectures during class, my daily code reviews at work became much smoother.”

Student


















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10 courses in this collection
Microsoft Azure Solutions Architect & DevOps Expert (AZ-900, AZ-305, AZ-400) Beginner24 Weeks
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Google Cloud (GCP) Advanced5 Months (20 Weeks)
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Azure Cloud Advanced5 Months (20 Weeks)
Linux Intermediate3 Months (12 Weeks)
System Monitoring & Observability Advanced4 Months (16 Weeks)
Git & GitHub Advanced12 Weeks (90 Hours)
Jenkins Intermediate3 Months (12 Weeks)
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