Get Started with AWS Cloud Mastery (Beginner to Advanced)

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Programming

AWS Cloud Mastery (Beginner to Advanced)

Comprehensive AWS cloud training from fundamentals to enterprise architecture. Covers cloud concepts, IAM, networking, compute, storage, databases, serverless, containers, DevOps, security, analytics, ML/AI services, migration, cost optimization, and production-ready architecture design aligned with AWS certifications.

  • 12 Months Duration
  • 30 Modules
  • Free Access
Course fee Free enrollment

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Learning path

Course Modules

Work through each module and pass quizzes to unlock the next step in your journey.

Module 1 Locked

Introduction to Cloud Computing and AWS

Build a strong foundation in cloud computing concepts, service and deployment models, and AWS global infrastructure.

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Learning objectives
  • • Define cloud computing and its core characteristics
  • • Compare IaaS, PaaS, and SaaS service models
  • • Explain public, private, hybrid, and multi-cloud deployment models
  • • Identify key benefits of cloud adoption
  • • Understand AWS as a leading cloud provider
  • • Explore AWS regions, availability zones, and edge locations
Module 2 Locked

AWS Account Setup and Management

Set up and manage AWS accounts using the console, CLI, SDKs, and foundational billing practices.

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Learning objectives
  • • Create and secure a new AWS account
  • • Understand AWS Free Tier limits and usage
  • • Navigate the AWS Management Console
  • • Install and use the AWS CLI for automation
  • • Work with AWS SDKs and service APIs
  • • Monitor billing and apply basic cost controls
Module 3 Locked

Identity and Access Management (IAM)

Master AWS IAM for secure identity, access control, and cross-account governance.

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Learning objectives
  • • Explain IAM concepts and the shared security model
  • • Create and manage users, groups, and roles
  • • Write and attach IAM policies with least privilege
  • • Enable MFA for enhanced account security
  • • Configure cross-account access patterns
  • • Apply IAM security best practices
Module 4 Locked

AWS Networking Fundamentals

Design secure and scalable network architectures using VPC, routing, and access controls.

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Learning objectives
  • • Apply core networking concepts in AWS
  • • Build and configure VPCs
  • • Plan subnets and CIDR addressing
  • • Configure route tables for traffic flow
  • • Use internet and NAT gateways
  • • Secure traffic with security groups and NACLs
Module 5 Locked

Compute Services

Deploy and manage scalable compute workloads with Amazon EC2 and auto scaling.

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Learning objectives
  • • Understand EC2 fundamentals and use cases
  • • Select appropriate EC2 instance families
  • • Launch, connect to, and manage instances
  • • Assign and manage Elastic IPs
  • • Configure auto scaling for elasticity
  • • Apply EC2 operational best practices
Module 6 Locked

Storage Services

Choose and implement the right AWS storage services for object, block, and file workloads.

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Learning objectives
  • • Compare cloud storage types and use cases
  • • Create and manage S3 buckets and objects
  • • Select S3 storage classes for cost and performance
  • • Attach and manage EBS volumes
  • • Use EFS for shared file storage
  • • Implement backup strategies with AWS Backup
Module 7 Locked

Databases on AWS

Evaluate and deploy relational, NoSQL, and in-memory databases on AWS.

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Learning objectives
  • • Understand relational vs NoSQL database models
  • • Provision and manage RDS instances
  • • Explore Aurora performance and availability features
  • • Model data and query DynamoDB tables
  • • Use ElastiCache for caching layers
  • • Select the right database for workload requirements
Module 8 Locked

Load Balancing and High Availability

Build highly available applications using load balancers, auto scaling, and resilient design patterns.

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Learning objectives
  • • Explain high availability and fault tolerance
  • • Configure Elastic Load Balancing
  • • Route HTTP traffic with ALB
  • • Handle TCP/UDP workloads with NLB
  • • Scale compute with auto scaling groups
  • • Design resilient multi-tier architectures
Module 9 Locked

Domain Management and DNS

Manage domains and DNS routing with Route 53 for reliable global traffic delivery.

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Learning objectives
  • • Understand DNS records and resolution
  • • Use Route 53 hosted zones and records
  • • Register and manage domains in AWS
  • • Apply routing policies for failover and latency
  • • Configure health checks for endpoints
  • • Design traffic management strategies
Module 10 Locked

Monitoring and Logging

Implement observability with CloudWatch metrics, logs, alarms, and distributed tracing.

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Learning objectives
  • • Use CloudWatch for operational monitoring
  • • Collect and analyze custom metrics
  • • Centralize logs with CloudWatch Logs
  • • Create alarms for proactive alerting
  • • Trace requests with AWS X-Ray
  • • Apply observability best practices
Module 11 Locked

Security Fundamentals

Secure AWS workloads using foundational security services and the shared responsibility model.

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Learning objectives
  • • Explain AWS shared responsibility boundaries
  • • Apply cloud security best practices
  • • Protect against DDoS with AWS Shield
  • • Filter web traffic with AWS WAF
  • • Manage secrets with Secrets Manager
  • • Encrypt data using AWS KMS
Module 12 Locked

Application Integration Services

Build decoupled, event-driven systems using AWS messaging and orchestration services.

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Learning objectives
  • • Queue workloads with Amazon SQS
  • • Publish and subscribe with Amazon SNS
  • • Route events using EventBridge
  • • Orchestrate workflows with Step Functions
  • • Run message brokers with Amazon MQ
  • • Design event-driven architectures
Module 13 Locked

Serverless Computing

Develop serverless applications with Lambda, API Gateway, and event-driven patterns.

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Learning objectives
  • • Understand serverless benefits and trade-offs
  • • Create and deploy Lambda functions
  • • Expose APIs with API Gateway
  • • Integrate Lambda with AWS services
  • • Build event-driven serverless workflows
  • • Apply serverless operational best practices
Module 14 Locked

Containers and Orchestration

Containerize and orchestrate applications using Docker, ECS, EKS, and Fargate.

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Learning objectives
  • • Understand container concepts and benefits
  • • Build and run Docker images
  • • Deploy services with Amazon ECS
  • • Manage Kubernetes clusters with EKS
  • • Run containers without managing servers using Fargate
  • • Choose container deployment strategies
Module 15 Locked

Infrastructure as Code (IaC)

Automate infrastructure provisioning with CloudFormation, CDK, and Terraform.

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Learning objectives
  • • Explain IaC principles and benefits
  • • Create stacks with AWS CloudFormation
  • • Write reusable CloudFormation templates
  • • Define infrastructure using AWS CDK
  • • Provision AWS resources with Terraform
  • • Apply IaC versioning and review practices
Module 16 Locked

DevOps on AWS

Implement CI/CD pipelines on AWS using CodeCommit, CodeBuild, CodeDeploy, and CodePipeline.

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Learning objectives
  • • Understand DevOps culture and practices
  • • Host source code in CodeCommit
  • • Build artifacts with CodeBuild
  • • Automate deployments with CodeDeploy
  • • Orchestrate pipelines in CodePipeline
  • • Apply CI/CD security and quality gates
Module 17 Locked

Content Delivery and Edge Services

Accelerate global content delivery with CloudFront, edge caching, and Global Accelerator.

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Learning objectives
  • • Understand CDN architecture and benefits
  • • Distribute content with Amazon CloudFront
  • • Leverage AWS edge locations
  • • Improve latency with Global Accelerator
  • • Design effective caching strategies
  • • Optimize application performance at the edge
Module 18 Locked

Data Analytics Services

Analyze data at scale using Athena, Glue, EMR, Redshift, and pipeline patterns.

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Learning objectives
  • • Understand analytics workloads on AWS
  • • Query S3 data with Amazon Athena
  • • Catalog and transform data with Glue
  • • Process big data using Amazon EMR
  • • Build data warehouses with Redshift
  • • Design end-to-end analytics pipelines
Module 19 Locked

Big Data on AWS

Architect big data solutions with data lakes, streaming, and warehousing on AWS.

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Learning objectives
  • • Design scalable big data architectures
  • • Build data lakes on S3
  • • Ingest streaming data with Kinesis
  • • Process real-time event streams
  • • Integrate warehousing and lakehouse patterns
  • • Apply analytics governance best practices
Module 20 Locked

Machine Learning and AI Services

Build intelligent applications using SageMaker, Bedrock, and managed AI services.

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Learning objectives
  • • Understand AI/ML service categories on AWS
  • • Train and deploy models with SageMaker
  • • Use foundation models via Amazon Bedrock
  • • Analyze images with Rekognition
  • • Extract insights from text with Comprehend
  • • Design production AI application workflows
Module 21 Locked

Security and Compliance Advanced

Implement enterprise security, governance, and compliance across AWS accounts.

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Learning objectives
  • • Manage multi-account environments with Organizations
  • • Set up landing zones with Control Tower
  • • Centralize findings in Security Hub
  • • Detect threats with GuardDuty
  • • Assess vulnerabilities with Inspector
  • • Map controls to compliance frameworks
Module 22 Locked

Hybrid and Multi-Cloud Architectures

Connect on-premises and multi-cloud environments with Direct Connect, VPN, and Outposts.

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Learning objectives
  • • Explain hybrid and multi-cloud drivers
  • • Establish dedicated connectivity with Direct Connect
  • • Secure site-to-site access with AWS VPN
  • • Extend AWS services on-premises with Outposts
  • • Evaluate multi-cloud architecture strategies
  • • Apply enterprise integration patterns
Module 23 Locked

Disaster Recovery and Business Continuity

Design disaster recovery and business continuity strategies for mission-critical workloads.

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Learning objectives
  • • Define RTO, RPO, and DR tiers
  • • Implement backup and restore strategies
  • • Deploy multi-AZ resilient architectures
  • • Replicate data across regions
  • • Create and test recovery plans
  • • Apply business continuity best practices
Module 24 Locked

Cost Optimization and FinOps

Optimize AWS spending with pricing models, budgets, and FinOps practices.

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Learning objectives
  • • Understand on-demand, reserved, and spot pricing
  • • Analyze spend with Cost Explorer
  • • Set alerts and limits with AWS Budgets
  • • Use Savings Plans for compute discounts
  • • Purchase Reserved Instances strategically
  • • Apply FinOps cost accountability practices
Module 25 Locked

Advanced Networking

Design advanced enterprise networks with peering, transit gateways, and PrivateLink.

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Learning objectives
  • • Connect VPCs with VPC peering
  • • Centralize routing with Transit Gateway
  • • Expose services privately via PrivateLink
  • • Filter traffic with Network Firewall
  • • Integrate hybrid network topologies
  • • Design scalable enterprise network architectures
Module 26 Locked

Advanced Architecture Design

Apply the AWS Well-Architected Framework to design production-grade cloud systems.

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Learning objectives
  • • Use the Well-Architected review process
  • • Improve reliability and fault tolerance
  • • Strengthen security architecture
  • • Optimize performance efficiency
  • • Reduce cost without sacrificing quality
  • • Build operational excellence into designs
Module 27 Locked

Enterprise AWS Services

Scale AWS adoption across the enterprise with landing zones, governance, and multi-account strategy.

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Learning objectives
  • • Structure accounts with AWS Organizations
  • • Implement secure landing zones
  • • Design multi-account operating models
  • • Enforce governance at scale
  • • Manage resources across the organization
  • • Apply enterprise security models
Module 28 Locked

AWS Migration Services

Plan and execute cloud migrations using AWS migration tools and the 6Rs framework.

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Learning objectives
  • • Understand cloud migration drivers and phases
  • • Track migrations with Migration Hub
  • • Migrate applications with Application Migration Service
  • • Replicate databases using DMS
  • • Apply the 6Rs migration strategies
  • • Build detailed migration plans and runbooks
Module 29 Locked

Real-World AWS Architectures

Study production architecture patterns for web, microservices, serverless, e-commerce, and SaaS workloads.

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Learning objectives
  • • Design highly available web application stacks
  • • Architect microservices on AWS
  • • Build scalable serverless applications
  • • Model e-commerce platform architectures
  • • Design multi-tenant SaaS solutions
  • • Apply enterprise architecture patterns
Module 30 Locked

AWS Professional Mastery

Consolidate professional AWS skills for architecture, security, DevOps, performance, and certification readiness.

Enroll in this course to access modules.

Learning objectives
  • • Apply Solutions Architect design best practices
  • • Implement security controls for production systems
  • • Integrate DevOps practices into AWS delivery
  • • Optimize performance across AWS services
  • • Design production-ready, observable systems
  • • Plan an AWS career and certification path
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