- Introduction to AWS
- Understanding cloud computing fundamentals
- AWS global infrastructure (Regions, Availability Zones, Edge Locations)
- Key AWS services overview (Compute, Storage, Database, Networking)
- Core AWS Services
- Compute: EC2, Lambda, Elastic Beanstalk, ECS, EKS
- Storage: S3, EBS, Glacier, EFS
- Databases: RDS, DynamoDB, Redshift, Aurora
- Networking: VPC, Route 53, CloudFront, API Gateway
- Security and Identity Management
- IAM (Identity and Access Management)
- AWS Key Management Service (KMS)
- AWS Secrets Manager
- Compliance and best security practices
- Serverless Computing
- AWS Lambda, API Gateway, Step Functions, and DynamoDB
- Building serverless architectures
- DevOps and Automation
- CI/CD with CodePipeline, CodeBuild, and CodeDeploy
- Infrastructure as Code with CloudFormation and Terraform
- Monitoring and logging with CloudWatch and AWS X-Ray
- Machine Learning and AI
- AWS SageMaker, Rekognition, Comprehend, Polly, and Lex
- Applying AI services for automation and analytics
- Data Analytics
- Data warehousing with Redshift
- Real-time analytics with Kinesis
- Data visualization with QuickSight
- Migration and Hybrid Cloud
- Strategies for migrating to AWS
- AWS Storage Gateway and Snowball
- Hybrid cloud with AWS Outposts
- Hands-On Labs and Projects
- Deploying applications
- Creating scalable, highly-available architectures
- Cost optimization and performance tuning
- AWS Certification Pathways
- Foundational: AWS Certified Cloud Practitioner
- Associate: Solutions Architect, Developer, SysOps Administrator
- Professional: Solutions Architect Professional, DevOps Engineer Professional
Specialty: Security, Machine Learning, Networking, Data Analytics
