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Course overview

AWS Cloud

4.9· trusted by learners

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.

  • Hands-on, project-based curriculum
  • Live doubt-clearing sessions
  • Industry-recognised certification
  • Dedicated placement assistance
5 Months (20 Weeks) Advanced
Key highlights
  • 13 modules · 76 lessons
  • 5 Months (20 Weeks) — live cohort
  • Weekly doubt-clearing
  • Mentor-reviewed projects
  • Placement assistance
About this course

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.

What you will actually work on

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:

  • Least-Privilege IAM Framework: Construct isolated development and production roles governed by granular JSON policies, explicit condition blocks, AWS Organizations service control policies, and hardware-backed multi-factor authentication.
  • High-Availability EC2 Cluster: Launch an auto-scaling fleet of Amazon EC2 instances running Amazon Linux 2023 behind an Application Load Balancer, configured with target groups, path-based routing, and instance refreshing.
  • Encrypted S3 Storage Engine: Build an Amazon S3 pipeline configured with bucket versioning, intelligent-tiering lifecycle policies, cross-region replication, and customer-managed AWS KMS cryptographic keys.
  • Multi-Tier VPC Architecture: Design an Amazon VPC across two availability zones with public and private subnets, redundant NAT gateways, custom route tables, and Amazon Route 53 latency-based routing policies.
  • Event-Driven Serverless API: Build a stateless backend with AWS Lambda using Python 3.12, Amazon API Gateway HTTP endpoints, Amazon DynamoDB single-table design, and automated trigger queues on Amazon SQS.
  • Containerized Microservices on Fargate: Containerize a backend service, push versioned images to private Amazon ECR repositories, and orchestrate service tasks using Amazon ECS on AWS Fargate behind an Application Load Balancer.
  • Declarative IaC with Terraform: Write modular HashiCorp Terraform and CloudFormation templates to provision multi-subnet environments, state locking via DynamoDB, and remote S3 state backends.
  • Centralized Observability Stack: Create Amazon CloudWatch log groups, composite alerting rules for 5xx errors, custom metrics filters, and AWS CloudTrail multi-region audit trails for governance.

Architecting production systems on AWS Cloud

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.

Who this course suits and how we run sessions

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.

The cloud engineering job market

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.

Course details

Everything you'll learn & master

A structured curriculum with real tools and outcomes built for the workplace.

13 modules
76 lessons
18 tools
Certificate
Live course Self-paced Industry expert Academic faculty
Module 1

You can navigate the AWS global infrastructure, manage accounts securely, and set up your foundational environment.

  1. What cloud computing is: IaaS, PaaS and SaaS90 min
    • Shared responsibility model
    • Capex vs Opex financial models
    • Global infrastructure overview
    • Elasticity and pay-as-you-go pricing
    • Cloud native vs lift-and-shift strategies
  2. AWS global infrastructure: regions, availability zones and edge locations90 min
    • Region selection criteria and data residency
    • AZ isolation, power redundancy, and fault domains
    • CloudFront edge locations and points of presence
    • Local zones and wavelength zones
    • Cross-region data transfer considerations
  3. Creating and securing an AWS account, billing and the free tier2 hrs
    • Root account protection and hardware MFA enforcement
    • AWS Budgets and Cost Anomaly Detection
    • Cost Explorer filtering and tag-based allocation
    • Free tier limit tracking and alert thresholds
    • Consolidated billing and AWS Organizations setup
  4. The AWS Management Console, CLI and SDKs2 hrs
    • aws configure command and credential files
    • Named profiles and SSO credential helpers
    • AWS CloudShell interactive terminal usage
    • Boto3 and AWS SDK client initialization
    • CLI pagination flags and output formatting with --query
  5. The shared responsibility model and the Well-Architected Framework2 hrs
    • Security of the cloud vs security in the cloud
    • Six pillars of the AWS Well-Architected Framework
    • Operational excellence and design principles
    • Reliability trade-offs and disaster recovery targets
    • Sustainability and cost optimization pillars
  6. Initial CLI operations and profile configuration90 min
    • aws sts get-caller-identity validation
    • IAM user access key generation and rotation
    • Environment variable precedence for credentials
    • Configuring region defaults in ~/.aws/config
    • Troubleshooting AccessDenied errors in CLI

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.

Module 2

Module 3

Module 4

Module 5

Module 6

Module 7

Module 8

Module 9

Module 10

Module 11

Module 12

Module 13

Who teaches you

Our instructors

Every instructor here ships production code for a living and teaches the same week they deploy.

  • Himanshu Mudgal — Lead DevOps Engineer, Squarebrackets trainer

    Himanshu Mudgal

    Lead DevOps Engineer

  • Swati Tyagi — Senior Full Stack and Mobile App Developer, Squarebrackets trainer

    Swati Tyagi

    Senior Full Stack and Mobile App Developer

  • Ravi Tyagi — Lead AI Engineer & Generative AI Systems Engineer, Squarebrackets trainer

    Ravi Tyagi

    Lead AI Engineer & Generative AI Systems Engineer

  • Vaishali Tyagi

    Co-Founder and Soft Skills Mentor

Real stories

Where our learners landed.

5 learners sharing their experience

1 / 5
“

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.

Ankit Srivastava profile
Ankit Srivastava
Software Engineer · Student
Aug 2026
“

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.

Pradeep Sharma profile
Pradeep Sharma
Student
Jun 2026
“

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.

Arjun Saini profile
Arjun Saini
Student
Jun 2026
“

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.

AS
Aniket Sharma
Associate Software Engineer · Capgemini
Aug 2026
“

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.

Harshmeet profile
Harshmeet
Student
Oct 2026
Success Stories

What our learners say

Written testimonials

Verified

“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 Srivastava

Ankit Srivastava

Software Engineer, Student

Verified

“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.”

Pradeep Sharma

Pradeep Sharma

Student

Verified

“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.”

Arjun Saini

Arjun Saini

Student

Verified

“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 Sharma

Associate Software Engineer, Capgemini

Verified

“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.”

Harshmeet

Harshmeet

Student

Trusted by teams

Companies our learners work at

Xebia
Tata Consultancy Services (TCS)
HCL Tech
Redbus Industrial Training
Genspark
L'Oréal
Microtek Learning
UST Global
Muoro
Frequently asked

Got questions?
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Browse the common questions, or reach out and our team will help you directly.

No prior cloud experience is needed. We teach AWS and cloud computing entirely from scratch. Basic comfort with the command line and general IT familiarity helps you move faster, but no assumptions are made about your background.

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