Amazon AWS Course

Lesson 1 • Cloud Computing Essentials

Defines cloud computing models and deployment types. Establishes vocabulary needed for all subsequent AWS service discussions.

Lesson 2 • AWS Management Console and CLI

Introduces the primary interfaces for interacting with AWS. Hands-on navigation prepares students for all lab exercises ahead.

Lesson 3 • AWS Global Infrastructure Overview

Maps AWS regions, availability zones, and edge locations. Explains how geographic distribution supports resilience and low latency.

Lesson 4 • AWS Pricing and Support Plans

Explains pay-as-you-go pricing, free tier limits, and support tiers. Enables cost-aware decision-making throughout the course.

Lesson 1 • AWS Organizations and Account Management

Introduces multi-account strategy using AWS Organizations and service control policies. Scales governance across teams and business units.

Lesson 2 • IAM Users, Groups, and Roles

Covers the three principal types in IAM and their appropriate use cases. Directly enables secure multi-user account management.

Lesson 3 • Multi-Factor Authentication and Credentials

Enforces strong authentication practices using MFA and credential rotation. Reduces account compromise risk across all environments.

Lesson 4 • IAM Policies and Permissions

Teaches JSON policy structure, effect/action/resource syntax, and policy evaluation logic. Enables precise access control for all AWS services.

Lesson 1 • Elastic Beanstalk and App Runner

Covers platform-as-a-service options for rapid application deployment. Reduces operational overhead for teams focused on code delivery.

Lesson 2 • EC2 Purchasing and Scaling Options

Compares on-demand, reserved, spot, and savings plans for cost optimization. Introduces auto scaling for dynamic workloads.

Lesson 3 • AWS Lambda and Serverless Computing

Introduces event-driven, function-based compute without server management. Prepares students for serverless architecture patterns later.

Lesson 4 • Amazon EC2 Fundamentals

Covers instance types, AMIs, and launch configurations. Forms the baseline compute skill used in networking and storage chapters.

Lesson 1 • Amazon VPC Architecture

Builds a virtual private cloud from scratch with subnets and routing tables. Establishes the network foundation for all deployed services.

Lesson 2 • Amazon CloudFront and Route 53

Delivers content globally via CDN and manages DNS with advanced routing policies. Reduces latency and improves availability for end users.

Lesson 3 • VPC Connectivity Options

Covers peering, Transit Gateway, VPN, and Direct Connect for hybrid and multi-VPC designs. Enables enterprise-grade connectivity patterns.

Lesson 4 • Elastic Load Balancing Deep Dive

Compares ALB, NLB, and Gateway Load Balancer for different traffic patterns. Integrates load balancing with auto scaling and health checks.

Lesson 1 • Amazon S3 Core Concepts

Covers bucket creation, object storage classes, and access control mechanisms. S3 underpins data lakes, backups, and static hosting covered later.

Lesson 2 • Amazon EFS and FSx File Systems

Introduces managed NFS and Windows file systems for shared access across instances. Addresses multi-instance and hybrid file storage scenarios.

Lesson 3 • Amazon EBS and Instance Storage

Explains block storage volumes attached to EC2 for persistent and ephemeral needs. Covers volume types, snapshots, and encryption.

Lesson 4 • S3 Advanced Features

Explores lifecycle rules, replication, event notifications, and S3 Select. Enables automated data management and event-driven workflows.

Lesson 1 • Caching with ElastiCache and DAX

Reduces database load using in-memory caching layers. Applies Redis and Memcached patterns to RDS and DynamoDB workloads.

Lesson 2 • Amazon Aurora Architecture

Explains Aurora's distributed storage engine and serverless scaling capability. Positions Aurora as a high-performance alternative to standard RDS engines.

Lesson 3 • Amazon RDS Fundamentals

Covers managed relational database setup, engine options, and high availability. Builds on VPC and security knowledge to deploy production-ready databases.

Lesson 4 • Amazon DynamoDB for NoSQL Workloads

Teaches key-value and document data modelling with DynamoDB. Covers capacity modes, indexes, and streams for event-driven architectures.

Lesson 1 • AWS Step Functions for Workflows

Orchestrates multi-step serverless workflows using state machines. Replaces complex Lambda chaining with visual, auditable process flows.

Lesson 2 • Amazon SNS for Pub/Sub Messaging

Covers topic-based fan-out to multiple subscribers across protocols. Enables notification pipelines and multi-target event distribution.

Lesson 3 • Amazon SQS for Queue-Based Decoupling

Introduces standard and FIFO queues for asynchronous message passing. Decouples producers and consumers to improve fault tolerance.

Lesson 4 • Amazon EventBridge for Event-Driven Design

Teaches rule-based event routing from AWS services and custom sources. Connects microservices and SaaS integrations without custom glue code.

Lesson 1 • AWS Well-Architected Framework

Applies six pillars to assess and improve cloud architecture quality. Synthesises all course knowledge into a structured review methodology.

Lesson 2 • CI/CD with CodePipeline and CodeDeploy

Builds automated delivery pipelines from source to production. Integrates testing, approval gates, and deployment strategies.

Lesson 3 • Amazon CloudWatch Monitoring

Collects metrics, logs, and traces to provide full-stack observability. Enables proactive alerting and performance optimization across all services.

Lesson 4 • Infrastructure as Code with CloudFormation

Defines AWS resources in declarative templates for repeatable deployments. Reduces configuration drift and enables version-controlled infrastructure.