CloudOps Training beginner

Amazon AWS Training — Cloud Fundamentals, Core Services & DevOps Automation

Master AWS: EC2, S3, VPC, IAM, Lambda, RDS, CloudWatch, and CI/CD. Cloud fundamentals through automation. Foundation for AWS SysOps, DevOps Engineer, and Solutions Architect certifications.

What Is AWS?

Amazon Web Services (AWS) is the world's largest public cloud platform, with 200+ services across compute, storage, networking, databases, AI/ML, and IoT — running in 30+ regions worldwide. AWS powers everything from startup MVPs to enterprise data centers. Understanding AWS is not optional for modern DevOps and cloud engineering — it's the baseline.

Who Should Attend

  • Software engineers deploying applications to AWS
  • System administrators transitioning to cloud operations
  • DevOps engineers automating AWS infrastructure
  • Anyone preparing for AWS certification (Cloud Practitioner, SysOps, Solutions Architect, DevOps Engineer)

Learning Outcomes

  • Navigate the AWS Management Console, CLI, and SDKs
  • Provision EC2 instances, configure VPC networking, and manage IAM security
  • Implement serverless architectures with Lambda, API Gateway, and S3
  • Design cost-optimized, secure, and highly available architectures
  • Automate AWS infrastructure with CloudFormation, Terraform, and AWS CDK
  • Prepare for the AWS Certified Cloud Practitioner and SysOps Administrator exams

Course Modules

  1. AWS Fundamentals — Global infrastructure. Console, CLI, SDK. Billing and cost management. Well-Architected Framework.
  2. IAM — Identity & Access — Users, groups, roles, policies. Least privilege. IAM Access Analyzer. Organizations/SCP.
  3. EC2 — Compute — Instance types, AMIs, user data. Auto Scaling. Load balancers. Spot instances. Placement groups.
  4. S3 & Storage — S3 storage classes. Lifecycle policies. Versioning. EBS, EFS. Storage Gateway.
  5. VPC — Networking — Subnets, route tables, NAT, Internet Gateway. VPC peering. PrivateLink. Security groups, NACLs.
  6. Databases on AWS — RDS (MySQL, PostgreSQL, Aurora). DynamoDB. ElastiCache. Database migration.
  7. Serverless — Lambda. API Gateway. Step Functions. SQS, SNS, EventBridge. Serverless patterns.
  8. CloudWatch & Monitoring — Metrics, logs, alarms. CloudTrail audit. AWS Config compliance. X-Ray tracing.
  9. Infrastructure as Code — CloudFormation. Terraform for AWS. AWS CDK. Infrastructure CI/CD.
  10. Containers on AWS — ECR, ECS, EKS. Fargate. App Runner. Container CI/CD with CodePipeline.
  11. Security & Compliance — KMS, Secrets Manager. WAF, Shield. GuardDuty, Security Hub. Compliance frameworks.
  12. Capstone: AWS Architecture — Design and deploy a multi-tier application with VPC, EC2, RDS, S3, and CI/CD.

Hands-on Labs (24 total)

Launch EC2 instances with Auto Scaling behind an ALB. Configure a VPC with public/private subnets and NAT. Deploy a serverless API with Lambda + API Gateway + DynamoDB. Write Terraform for a complete AWS environment. Set up CloudWatch alarms with SNS notifications. Build a CI/CD pipeline with CodePipeline.

Related Courses

See AWS SysOps Training, CloudOps Training, and DevOps Engineering.

TOOLS_COVERED

AWS EC2 S3 VPC IAM Lambda RDS CloudWatch Terraform Docker

PREREQUISITES

  • Basic IT infrastructure knowledge
  • Linux command-line familiarity helpful

CURRICULUM

Covers: AWS, Azure, GCP, OpenStack. Hands-on labs and real-world scenarios.
Covers: Docker, Kubernetes, Helm, Vagrant, Packer. Hands-on labs and real-world scenarios.
Covers: Terraform, CloudFormation, Pulumi, Ansible. Hands-on labs and real-world scenarios.

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