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School of Cloud & DevOps Engineering · Intermediate

AWS Cloud Engineering & Architecture Course

Learn to architect and operate secure, scalable AWS environments - not just click through services - with networking, IaC and observability.

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AWS Cloud Engineering & Architecture course illustration at Brightnest AI Academy
AWS Cloud Foundations and IAMAWS NetworkingCompute, Containers and ServerlessStorage and Databases
AWSIAMAWS CLIAmazon VPCRoute 53
Duration10–12 weeks76 hours
Batch startsConfirm with admissionsOpen for registration
Learning formatLive mentor-led instruction, guided labs, assignments, feedback and project reviewsLive online / classroom
Curriculum8 modulesLabs and assessed capstone
Portfolio2 projectsPlus module evidence
LevelIntermediateCourse level
PathwayCloud & DevOps EngineerRelated career pathway

How you will learn

Live instructor-led sessions that connect concepts to real workplace decisions.
Guided labs and workshops in every module.
Assignments, checkpoints and practical feedback.
Portfolio documentation, demonstrations and capstone review.
Access to recordings and LMS resources according to the published batch policy.
Career preparation based on completed work and target roles.
Course curriculum

What you will learn, module by module

Architect, deploy and operate secure workloads on Amazon Web Services. Progress from AWS Cloud Foundations and IAM to AWS Cloud Engineering Capstone through guided labs, assessed projects, and portfolio evidence.

01Module 1 · 6 hoursAWS Cloud Foundations and IAMCreate a least-privilege IAM setup and deploy resources through console and CLI.
Topics you will cover
  • AWS global infrastructure
  • Accounts
  • Regions/AZs
  • Shared responsibility
  • IAM users/roles/policies
  • MFA
  • AWS CLI
Tools and platforms
AWS, IAM, AWS CLI
Portfolio evidence
AWS account baseline checklist
Assessment
Cloud foundations quiz
02Module 2 · 10 hoursAWS NetworkingDesign and build a multi-tier VPC with public/private subnets and controlled traffic flow.
Topics you will cover
  • VPCs
  • CIDR
  • Subnets
  • Route tables
  • Internet/NAT gateways
  • Security groups
  • NACLs
Tools and platforms
Amazon VPC, Route 53, ELB
Portfolio evidence
AWS network architecture
Assessment
Networking lab
03Module 3 · 10 hoursCompute, Containers and ServerlessDeploy the same service using EC2/container/serverless patterns and compare tradeoffs.
Topics you will cover
  • EC2
  • AMIs
  • Autoscaling
  • Load balancing
  • Lambda
  • ECS/EKS concepts
  • Container registries
Tools and platforms
EC2, Lambda, ECS/EKS concepts, ECR
Portfolio evidence
Multi-pattern compute demo
Assessment
Compute design review
04Module 4 · 8 hoursStorage and DatabasesBuild a secure data layer using S3 and a managed database with backup and encryption.
Topics you will cover
  • S3
  • Lifecycle
  • Encryption
  • EBS/EFS concepts
  • RDS/Aurora
  • DynamoDB
  • Backup
Tools and platforms
S3, RDS/Aurora, DynamoDB concepts
Portfolio evidence
AWS storage/database design
Assessment
Data layer lab
05Module 5 · 8 hoursHigh Availability and Well-Architected DesignRedesign a fragile application for high availability and recovery objectives.
Topics you will cover
  • Resilience
  • Multi-AZ
  • Scaling
  • Decoupling
  • Queues/events
  • Caching
  • Disaster recovery patterns
Tools and platforms
SQS/SNS/EventBridge concepts, CloudFront, ElastiCache concepts
Portfolio evidence
Well-architected solution diagram
Assessment
Architecture case
06Module 6 · 8 hoursSecurity, Governance and ObservabilityImplement centralized logs, alerts, encryption and security controls for a sample workload.
Topics you will cover
  • KMS
  • Secrets Manager
  • CloudTrail
  • CloudWatch
  • Config concepts
  • GuardDuty/Security Hub concepts
  • Logging
Tools and platforms
CloudWatch, CloudTrail, KMS, security services
Portfolio evidence
AWS security/monitoring baseline
Assessment
Security checkpoint
07Module 7 · 10 hoursInfrastructure as Code, Automation and CostProvision a repeatable AWS environment using IaC and add cost guardrails.
Topics you will cover
  • CloudFormation/Terraform concepts
  • Systems Manager
  • CI/CD integration
  • Tagging
  • Budgets
  • Cost explorer
  • Rightsizing
Tools and platforms
Terraform or CloudFormation, AWS Budgets
Portfolio evidence
Version-controlled AWS infrastructure
Assessment
IaC lab
08Module 8 · 16 hoursAWS Cloud Engineering CapstoneBuild and document a production-ready cloud application environment on AWS.
Topics you will cover
  • Requirements
  • Architecture
  • Network
  • Compute
  • Data
  • Security
  • Availability
Tools and platforms
AWS, Terraform/CloudFormation, GitHub
Portfolio evidence
AWS reference architecture + deployed environment
Assessment
Capstone defence
Applied portfolio

Projects you will build

2 portfolio projects plus module evidence

Portfolio project 1

Highly Available AWS Application Platform

Deploy a resilient web/API workload with VPC, compute, database, monitoring, security and IaC.

Architecture diagram · Terraform/CloudFormation · deployed workload · runbook
Portfolio project 2

Serverless Event-Driven AWS Solution

Build event-driven processing with managed/serverless services and observability.

IaC · event flow · security controls · cost/reliability analysis
Course value

Why this course

AWS capability is demonstrated by secure architecture decisions, repeatable infrastructure, resilient workloads, cost awareness, and operational evidence—not console screenshots.

The curriculum progresses from AWS Cloud Foundations and IAM to AWS Cloud Engineering Capstone, with guided labs, assessments, and two portfolio projects: Highly Available AWS Application Platform and Serverless Event-Driven AWS Solution.

Course fit

Who this course is for

IT professionals, developers and cloud beginners pursuing AWS engineering/architecture skills.

IntermediateCloud & DevOps Engineer
PrerequisitesLearners should understand basic networking and operating-system concepts. No prior AWS experience is required.
Practical capabilities

What you will be able to do

  • Create a least-privilege IAM setup and deploy resources through console and CLI.
  • Design and build a multi-tier VPC with public/private subnets and controlled traffic flow.
  • Deploy the same service using EC2/container/serverless patterns and compare tradeoffs.
  • Build a secure data layer using S3 and a managed database with backup and encryption.
  • Redesign a fragile application for high availability and recovery objectives.
  • Provision a repeatable AWS environment using IaC and add cost guardrails.
  • Build and document a production-ready cloud application environment on AWS.
Tools and platforms

Technology you will use in this course

AWSIAMAWS CLIAmazon VPCRoute 53ELBEC2LambdaECSEKS conceptsECRS3RDSAuroraDynamoDB conceptsSQS
Career relevance

Cloud & DevOps Engineer

This course supports the development of skills relevant to roles such as AWS Cloud Engineer, Cloud Administrator, and Solutions Architect pathway. The strongest learner outcome is a portfolio that shows the problem, implementation, testing or evaluation, documentation and a clear explanation of decisions—not a certificate alone.

Course evidence and instruction

Academy advisor

Ranjeet Kumar

Advisor, Brightnest AI Academy · Innovation & Growth Leader

A technologist and data leader with 15+ years of experience applying data, artificial intelligence and machine learning to complex problems, scalable products and business growth.

What our learners say

Learner experience

The cloud labs gave me evidence I could discuss in interviews—from networking and Linux to Docker, monitoring and deployment decisions.
Rahul VermaCloud Operations Professional · Technology Services

Industry and technology ecosystem

MicrosoftAmazon Web ServicesDeloitteTech MahindraTata Consultancy ServicesWipro
Course FAQs

Clear answers before you enrol

Learn to architect and operate secure, scalable AWS environments - not just click through services - with networking, IaC and observability.

Is the AWS Cloud Engineering course suitable for beginners?

This is an intermediate-level course. Learners should understand basic networking and operating-system concepts. No prior AWS experience is required.

What will I build during the course?

You will complete guided labs in every module and build two portfolio projects: Highly Available AWS Application Platform and Serverless Event-Driven AWS Solution. Deliverables include working files or code, documentation, testing or evaluation evidence, and a final presentation.

Which tools and platforms are covered?

Key tools include AWS, IAM, AWS CLI, Amazon VPC, Route 53, ELB, EC2, and Lambda. Additional platforms are introduced in relevant modules through practical tasks, and the toolset may evolve as industry practice changes.

How long does the course take?

The course includes approximately 76 guided learning hours across 8 modules, normally delivered over 10–12 weeks depending on batch intensity and learner practice time.

Which career paths can this course support?

The curriculum supports the development of skills relevant to roles such as AWS Cloud Engineer, Cloud Administrator, and Solutions Architect pathway. Career outcomes depend on prior experience, project quality, interview readiness and market conditions; employment is not guaranteed.

Will I receive mentor and career support?

The course includes live instruction, lab support, assignment feedback, project reviews and career preparation covering portfolio development, resume writing, LinkedIn profile improvement, and interview guidance.

Ready to start?

Ready to start your AWS Cloud Engineering & Architecture journey?

Review the full curriculum, experience a live class and confirm the right starting point before enrolling.

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