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GCET CLOUD LEARNING HUB

Learn AWS the builder way.

A structured cloud curriculum for GCET students — start with the fundamentals, progress through six guided stages, practice with real labs, and prepare for certification. Every stage links straight to official AWS documentation, workshops, and training.

Browse learning pathsExplore AWS Builder Center
Core cloud domains
8
Roadmap stages
6
Official AWS platforms
7
Hands-on project labs
6

Featured

Spotlight tracks

Two curated starting points from the GCET curriculum — one for first-time cloud learners, one for teams building with generative AI.

Featured track

AWS Fundamentals

Cloud Foundations & Free Tier Mastery

New to the cloud? Start here.

Zero to confident on AWS. Master IAM user boundaries, budget alerts, EC2 instance launch, and S3 static hosting without incurring accidental charges.

Duration
4 Weeks
Level
Beginner
Modules
4
Recommended for
1st & 2nd Year Students
  • Setting up IAM with MFA & zero root key exposure
  • Configuring AWS Budgets & CloudWatch billing alarms ($0 threshold)
  • SSH into Ubuntu EC2 with Security Groups & Elastic IPs
  • + 1 more module in the full path
View learning path

Featured track

Generative AI

Generative AI Systems with Amazon Bedrock

Build production AI systems on Bedrock.

Construct enterprise-grade Retrieval Augmented Generation (RAG) applications using Claude, Llama 3, and vector embeddings.

Duration
4 Weeks
Level
Intermediate
Modules
4
Recommended for
AI/ML Enthusiasts & Final Year Project Teams
  • Bedrock Converse API and prompt engineering guardrails
  • Chunking documents & generating vectors with Amazon Titan
  • Vector indexing in OpenSearch Serverless and pgvector on RDS
  • + 1 more module in the full path
View learning path

Browse by topic

Explore learning paths

Filter the GCET-curated curriculum by topic, skill level, or keyword. Every path is built on official AWS documentation, workshops, and labs.

Showing 4 of 4 learning paths.

  • AWS FundamentalsBeginner

    Cloud Foundations & Free Tier Mastery

    Zero to confident on AWS. Master IAM user boundaries, budget alerts, EC2 instance launch, and S3 static hosting without incurring accidental charges.

    4 Weeks4 modules

    Recommended for 1st & 2nd Year Students

    View path
  • Full-Stack DevelopmentIntermediate

    Modern Full-Stack on AWS Amplify Gen 2

    Build production React / Next.js 15 applications with code-first AWS backend definitions in TypeScript.

    3 Weeks4 modules

    Recommended for Web Developers & Hackathon Participants

    View path
  • ServerlessIntermediate to Advanced

    Serverless Microservices & Event Architecture

    Build high-throughput, low-latency microservices that scale to zero when idle using Lambda, API Gateway, and DynamoDB.

    5 Weeks4 modules

    Recommended for Backend & Cloud Engineers

    View path
  • Generative AIIntermediate

    Generative AI Systems with Amazon Bedrock

    Construct enterprise-grade Retrieval Augmented Generation (RAG) applications using Claude, Llama 3, and vector embeddings.

    4 Weeks4 modules

    Recommended for AI/ML Enthusiasts & Final Year Project Teams

    View path

Core Domains

Learning Categories

Explore key cloud domains and core AWS capabilities with targeted documentation, architectural best practices, and learning modules.

AWS Cloud Fundamentals

Understand cloud architecture models, AWS global infrastructure across regions and availability zones, and fundamental shared responsibility security principles.

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Compute and Serverless

Explore elastic compute with Amazon EC2 virtual machines and build modern event-driven architectures with serverless AWS Lambda functions.

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Storage and Databases

Master object storage with Amazon S3, block storage with EBS, and scalable managed databases including Amazon RDS and Amazon DynamoDB.

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Networking and Security

Design isolated virtual networks with Amazon VPC, configure security groups and route tables, and manage access with AWS Identity and Access Management (IAM).

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AI and Machine Learning

Leverage generative AI models with Amazon Bedrock, build and train machine learning workflows with Amazon SageMaker, and utilize pre-trained intelligence APIs.

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DevOps and Cloud Infrastructure

Automate deployment pipelines and manage infrastructure as code with AWS CLI, CloudFormation, AWS CDK, and container orchestration.

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AWS Certifications

Prepare for validated industry credentials starting with AWS Certified Cloud Practitioner, Solutions Architect, and developer specialties.

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Hands-on Projects

Apply theoretical knowledge through practical step-by-step labs, sandbox environments, and real-world implementation exercises.

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Verified AWS Platforms

Official AWS Learning Resources

Direct access to official Amazon Web Services training, architecture guidelines, hands-on workshops, and community builder centers.

All resources link to external official AWS domains
Featured Hub

AWS Builder Center

Discover AWS builder resources, developer learning opportunities, and community activities.

builder.aws.com
Visit Official Website

AWS Skill Builder

Access structured digital training and certification preparation.

skillbuilder.aws
Visit Official Website

AWS Documentation

Learn directly from official AWS technical documentation.

docs.aws.amazon.com
Visit Official Website

AWS Workshops

Follow hands-on workshops and practical exercises.

workshops.aws
Visit Official Website

AWS Architecture Center

Explore cloud architecture guidance and reference designs.

aws.amazon.com/architecture
Visit Official Website

AWS Training and Certification

Discover AWS training programs and certification pathways.

aws.amazon.com/training
Visit Official Website

AWS Getting Started

Find introductory resources for learning AWS.

aws.amazon.com/getting-started
Visit Official Website

Structured Progression

Recommended Learning Roadmap

A phased, realistic pathway guiding developers from first cloud concepts to scalable production systems, with hands-on practice at every step.

Stage 1Milestone 1 of 6

Cloud Computing Fundamentals

Understand cloud computing, regions, availability zones, and shared responsibility.

Key Topics & Practice

  • Cloud Deployment & Service Models
  • AWS Global Infrastructure (Regions, AZs)
  • Shared Responsibility Model
  • AWS Billing & Free Tier Cost Controls
Focus: Conceptual understanding & hands-on console/CLI verification
Stage 2Milestone 2 of 6

AWS Core Services

Explore foundational services such as Amazon EC2, Amazon S3, AWS IAM, and Amazon VPC.

Key Topics & Practice

  • Amazon EC2 Instance Lifecycle & SSH
  • Amazon S3 Buckets, Policies & Encryption
  • AWS IAM Users, Roles & Least Privilege
  • Amazon VPC Subnets, Gateways & Security Groups
Focus: Conceptual understanding & hands-on console/CLI verification
Stage 3Milestone 3 of 6

Practical Cloud Projects

Build small projects to practice deploying applications, storing data, configuring access, and monitoring resources.

Key Topics & Practice

  • Deploying Static Web Apps on S3 + CloudFront
  • Configuring Amazon RDS Database Backends
  • Setting Amazon CloudWatch Alarms & Metrics
  • Troubleshooting Access Denied & Network Routing
Focus: Conceptual understanding & hands-on console/CLI verification
Stage 4Milestone 4 of 6

Automation and DevOps

Explore the AWS CLI, infrastructure as code, containers, and CI/CD fundamentals.

Key Topics & Practice

  • AWS CLI Scripting & Automation
  • Infrastructure as Code with Terraform & AWS CDK
  • Docker Containers on Amazon ECR & ECS/Fargate
  • CI/CD Pipelines with GitHub Actions / AWS CodePipeline
Focus: Conceptual understanding & hands-on console/CLI verification
Stage 5Milestone 5 of 6

Certification Preparation

Explore the AWS Certified Cloud Practitioner certification and other relevant certification pathways.

Key Topics & Practice

  • AWS Certified Cloud Practitioner (CLF-C02) Blueprint
  • AWS Certified Solutions Architect – Associate (SAA-C03)
  • Official Practice Exams on AWS Skill Builder
  • Architectural Well-Architected Framework Reviews
Focus: Conceptual understanding & hands-on console/CLI verification
Stage 6Milestone 6 of 6

Advanced Learning

Explore serverless applications, cloud architecture, data engineering, and machine learning.

Key Topics & Practice

  • Serverless Architectures with Lambda & API Gateway
  • Event-Driven Messaging with SQS, SNS & EventBridge
  • Generative AI & LLMs with Amazon Bedrock
  • Enterprise Multi-Account Architectures with AWS Organizations
Focus: Conceptual understanding & hands-on console/CLI verification

Hands-on practice

Workshops & guided tutorials

Official AWS workshops and step-by-step tutorials you can run end-to-end. Every link goes straight to the source on AWS infrastructure.

Project-based learning

Suggested projects

Practice builds curated from official AWS documentation. Each project names the skills you will exercise and links straight to its step-by-step guide.

  • IntermediateSuggested project

    Serverless URL shortener using AWS Lambda and API Gateway

    Create an on-demand, highly scalable link redirect and analytics microservice using Amazon API Gateway, AWS Lambda, and Amazon DynamoDB.

    Skills practiced

    • AWS Lambda
    • Amazon API Gateway
    • Amazon DynamoDB
    • RESTful APIs
    Follow the official guide(opens in a new tab)
  • Beginner to IntermediateSuggested project

    Cloud monitoring dashboard using Amazon CloudWatch

    Monitor EC2 instance metrics, track Lambda invocation errors, and configure proactive email alarms to keep resource costs safely inside Free Tier.

    Skills practiced

    • Amazon CloudWatch
    • SNS Notifications
    • Metric Alarms
    • Budget Alerts
    Follow the official guide(opens in a new tab)
  • IntermediateSuggested project

    Event-driven file processing using Amazon S3 and AWS Lambda

    Automatically trigger serverless compute to resize images or parse JSON data records immediately whenever a file is uploaded to an Amazon S3 bucket.

    Skills practiced

    • S3 Event Notifications
    • Lambda Triggers
    • IAM Roles
    • Asynchronous Processing
    Follow the official guide(opens in a new tab)
  • Intermediate to AdvancedSuggested project

    Containerized application deployment

    Package a web microservice with Docker, push the container image to Amazon ECR, and execute scalable containers on AWS Fargate without managing servers.

    Skills practiced

    • Docker
    • Amazon ECR
    • AWS Fargate
    • Application Load Balancer
    Follow the official guide(opens in a new tab)
  • AdvancedSuggested project

    Cloud infrastructure automation using Terraform

    Define, version-control, and provision repeatable multi-AZ cloud network infrastructure on AWS using declarative Terraform configurations.

    Skills practiced

    • Terraform
    • Infrastructure as Code
    • Amazon VPC
    • State Management
    Follow the official guide(opens in a new tab)
TAKE THE NEXT STEP

Start Building Your Cloud Future Today

Whether it's your first IAM user or a production-grade serverless system, learn with official AWS architecture patterns, prepare for certifications, and ship real cloud applications alongside the GCET community.

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