
Amazon Web Services (AWS) Course
Master Amazon Web Services from the ground up and gain the hands-on skills employers are actively hiring for. This course covers everything from core cloud concepts and IAM security to databases, serverless computing, and CI/CD pipelines. Whether you're breaking into cloud or leveling up your career, this is the training that gets you there.
What your team will master:
You'll build a complete understanding of AWS services across compute, networking, storage, databases, and application integration. You'll configure EC2 instances, design secure VPCs, manage IAM policies, and deploy serverless functions with Lambda. You'll work with managed databases like RDS, Aurora, and DynamoDB, and connect services using SQS, SNS, and EventBridge. You'll also implement monitoring with CloudWatch, automate infrastructure with CloudFormation, and apply the AWS Well-Architected Framework to real workloads. By the end, you'll have the practical knowledge to architect, secure, and operate production-grade AWS environments.
How your team learns in practice Amazon Web Services (AWS) Course
How your team practices Amazon Web Services (AWS) Course
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Course Content
8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsAWS Cloud Fundamentals and Core Concepts
AWS Cloud Fundamentals and Core Concepts
Lesson 1 • AWS Pricing and Cost Fundamentals
Explains pay-as-you-go pricing, free tier limits, and cost estimation tools. Students can estimate basic workload costs before provisioning resources.
Lesson 2 • AWS Global Infrastructure Overview
Maps AWS regions, availability zones, and edge locations. Students understand how geographic distribution affects resilience and latency.
Lesson 3 • AWS Shared Responsibility Model
Clarifies security duties split between AWS and the customer. Students apply the model to categorize responsibilities for any service.
Lesson 4 • Cloud Computing Essentials
Defines cloud computing models and deployment types. Grounds students in the vocabulary needed for all subsequent AWS topics.
Lesson 5 • AWS Management Console and CLI
Introduces the web console, AWS CLI, and CloudShell for resource management. Builds hands-on navigation skills used throughout the course.
Chapter 2HideHide detailsSee detailsIdentity, Access, and Security Foundations
Identity, Access, and Security Foundations
Lesson 1 • IAM Policies and Permissions
Explains policy types, JSON structure, and permission evaluation logic. Students write and attach policies that enforce least-privilege access.
Lesson 2 • AWS Organizations and Account Management
Introduces multi-account governance using AWS Organizations and service control policies. Students structure accounts for isolation and centralized policy enforcement.
Lesson 3 • Monitoring Access with AWS CloudTrail
Enables API activity logging to detect unauthorized or anomalous actions. Connects security auditing to IAM configurations established earlier.
Lesson 4 • IAM Users, Groups, and Roles
Covers creating and organizing IAM principals for human and service access. Establishes least-privilege access patterns used in every later chapter.
Lesson 5 • Multi-Factor Authentication and Credentials
Secures accounts with MFA and manages programmatic credentials safely. Reduces credential-exposure risk across all AWS interactions.
Chapter 3HideHide detailsSee detailsCompute Services on AWS
Compute Services on AWS
Lesson 1 • Containers on AWS
Runs containerized workloads with ECS and EKS on Fargate or EC2. Students choose between orchestration options based on operational complexity needs.
Lesson 2 • Amazon EC2 Instance Fundamentals
Launches and configures virtual machines using EC2 instance types and AMIs. Provides the core compute skill set referenced in networking and storage chapters.
Lesson 3 • EC2 Storage, Networking, and Security Groups
Attaches EBS volumes, configures ENIs, and applies security groups to instances. Students secure and persist compute resources at the instance level.
Lesson 4 • EC2 Pricing Models and Auto Scaling
Compares On-Demand, Reserved, Spot, and Savings Plans pricing. Students design cost-efficient, scalable compute fleets using Auto Scaling groups.
Lesson 5 • AWS Lambda and Serverless Compute
Builds event-driven functions without managing servers using Lambda. Students deploy functions, configure triggers, and understand cold-start behavior.
Chapter 4HideHide detailsSee detailsNetworking and Content Delivery on AWS
Networking and Content Delivery on AWS
Lesson 1 • VPC Connectivity Options
Connects VPCs and on-premises networks using peering, Transit Gateway, and VPN. Students select the right connectivity model for hybrid and multi-VPC architectures.
Lesson 2 • DNS and Content Delivery
Routes traffic globally with Route 53 and accelerates delivery with CloudFront. Students configure routing policies and CDN distributions for performance and resilience.
Lesson 3 • Network Access Control and Security
Applies NACLs and security groups to enforce stateless and stateful traffic rules. Students layer network defenses across subnet and instance boundaries.
Lesson 4 • Elastic Load Balancing
Distributes traffic across targets using ALB, NLB, and Gateway Load Balancer. Students configure listeners, target groups, and health checks for high availability.
Lesson 5 • Amazon VPC Architecture
Creates isolated virtual networks with custom CIDR blocks, subnets, and route tables. Establishes the network foundation required by compute and database chapters.
Chapter 5HideHide detailsSee detailsStorage Services on AWS
Storage Services on AWS
Lesson 1 • S3 Advanced Features
Automates data lifecycle, replication, and event-driven workflows in S3. Students reduce storage costs and build event-driven pipelines using native S3 capabilities.
Lesson 2 • Amazon S3 Core Concepts
Creates buckets, uploads objects, and manages access with bucket policies and ACLs. S3 is the foundational storage service referenced in logging, analytics, and backup chapters.
Lesson 3 • Amazon EFS and FSx File Systems
Provides shared file storage for Linux and Windows workloads using EFS and FSx. Students mount managed file systems across multiple EC2 instances and containers.
Lesson 4 • AWS Storage Gateway and Data Transfer
Bridges on-premises storage with AWS using Storage Gateway and transfer services. Students design hybrid storage architectures and bulk data migration workflows.
Lesson 5 • Amazon EBS and Instance Storage
Provisions and manages block storage volumes for EC2 workloads. Builds on EC2 knowledge to optimize IOPS, throughput, and snapshot strategies.
Chapter 6HideHide detailsSee detailsDatabase Services on AWS
Database Services on AWS
Lesson 1 • Amazon Aurora Architecture
Explores Aurora's distributed storage engine and serverless scaling capabilities. Students understand when Aurora outperforms standard RDS for performance and cost.
Lesson 2 • Caching with ElastiCache
Reduces database load using Redis and Memcached caching layers. Students implement cache-aside and write-through patterns to improve application latency.
Lesson 3 • Database Migration and Specialized Services
Migrates databases to AWS using DMS and explores purpose-built database options. Students select the right database service for analytics, graph, and time-series needs.
Lesson 4 • Amazon DynamoDB for NoSQL Workloads
Designs tables, indexes, and capacity modes for key-value and document workloads. Students model data for single-table design and configure DynamoDB Streams.
Lesson 5 • Amazon RDS Fundamentals
Launches managed relational databases with automated backups and patching. Builds on VPC and IAM knowledge to deploy databases securely in private subnets.
Chapter 7HideHide detailsSee detailsApplication Integration and Messaging
Application Integration and Messaging
Lesson 1 • Amazon SQS Queue Fundamentals
Buffers messages between producers and consumers using standard and FIFO queues. Students configure visibility timeouts, dead-letter queues, and polling strategies.
Lesson 2 • API Gateway and Service Integration
Exposes backend services through REST and HTTP APIs with throttling and auth. Students connect API Gateway to Lambda, SQS, and DynamoDB for full integration patterns.
Lesson 3 • Amazon EventBridge Event-Driven Architecture
Routes events from AWS services and SaaS applications using rules and event buses. Students build event-driven pipelines that react to state changes across services.
Lesson 4 • AWS Step Functions Workflow Orchestration
Coordinates multi-step workflows using state machines with error handling. Students model complex business processes as visual, auditable serverless workflows.
Lesson 5 • Amazon SNS Pub/Sub Messaging
Fans out notifications to multiple subscribers using topics and filter policies. Students integrate SNS with SQS, Lambda, and HTTP endpoints for event-driven flows.
Chapter 8HideHide detailsSee detailsMonitoring, DevOps, and Well-Architected Practices
Monitoring, DevOps, and Well-Architected Practices
Lesson 1 • Infrastructure as Code with CloudFormation
Provisions and manages AWS resources declaratively using CloudFormation templates. Students version-control infrastructure and automate repeatable environment deployments.
Lesson 2 • Amazon CloudWatch Observability
Collects metrics, logs, and traces to monitor application and infrastructure health. Ties together all prior services by providing unified operational visibility.
Lesson 3 • CI/CD with AWS Developer Tools
Automates build, test, and deploy pipelines using CodeCommit, CodeBuild, and CodePipeline. Students deliver application changes rapidly and safely to AWS environments.
Lesson 4 • AWS Well-Architected Framework
Evaluates workloads against six pillars: operational excellence, security, reliability, performance, cost, and sustainability. Students conduct Well-Architected reviews and prioritize improvements.
Lesson 5 • AWS X-Ray Distributed Tracing
Traces requests across microservices to identify latency bottlenecks and errors. Students instrument Lambda, EC2, and ECS applications for end-to-end visibility.
Your valid completion certificate
This course is for you:
IT support technicians ready to transition into cloud infrastructure roles.
Software developers wanting to deploy and scale applications on AWS.
System administrators modernizing on-premises skills for cloud environments.
Recent computer science graduates entering a competitive cloud job market.
DevOps engineers seeking deeper AWS expertise to advance their careers.
Entrepreneurs building SaaS products who need to architect their own infrastructure.
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