AWS Cloud Practitioner Essentials
Build foundational knowledge of AWS Cloud concepts, services, security, architecture, pricing, and support. This entry-level course prepares you for the AWS Certified Cloud Practitioner examination and establishes the groundwork for advanced certifications.
- Core AWS services overview including EC2, S3, RDS, and Lambda
- Cloud security fundamentals and shared responsibility model
- Pricing models and cost optimization strategies
- 12 guided lab exercises in live AWS environment
- Practice exams with detailed answer explanations
4-week program | 20 hours instruction | Includes lab access
Solutions Architect Associate
Design and deploy scalable, highly available, and fault-tolerant systems on AWS. This intermediate course covers architectural best practices, cost optimization, and the technical skills needed to pass the AWS Certified Solutions Architect Associate exam.
- Multi-tier architecture design patterns
- High availability and disaster recovery strategies
- Network design with VPCs, subnets, and security groups
- Database selection and migration approaches
- 25 hands-on labs including capstone project
8-week program | 40 hours instruction | Includes lab access
DevOps Engineer Professional
Master continuous integration, continuous delivery, and infrastructure automation on AWS. This advanced course prepares experienced professionals for the AWS Certified DevOps Engineer Professional examination through intensive practical application.
- CI/CD pipeline design with CodePipeline and CodeBuild
- Infrastructure as Code with CloudFormation and CDK
- Container orchestration with ECS and EKS
- Monitoring, logging, and incident response automation
- 30 complex labs simulating enterprise scenarios
10-week program | 50 hours instruction | Includes lab access
Data Analytics Specialty
Design and build analytics solutions using AWS data services. This specialty track covers the full data lifecycle from collection through visualization, preparing you for the AWS Certified Data Analytics Specialty examination.
- Data lake architecture with S3 and Lake Formation
- Stream processing with Kinesis and MSK
- Data warehousing with Redshift
- ETL workflows with Glue and Step Functions
- Visualization with QuickSight and Athena
8-week program | 36 hours instruction | Includes lab access
Security Specialty
Develop expertise in securing AWS workloads and meeting compliance requirements. This specialty course addresses identity management, detection, infrastructure protection, and incident response within AWS environments.
- Identity and access management advanced patterns
- Encryption at rest and in transit implementation
- Security monitoring with GuardDuty and Security Hub
- Compliance automation and audit trails
- Incident response procedures and forensics
8-week program | 40 hours instruction | Includes lab access
Machine Learning Specialty
Build, train, tune, and deploy machine learning models using AWS services. This advanced specialty prepares data scientists and developers for the AWS Certified Machine Learning Specialty examination through practical ML workflows.
- SageMaker end-to-end model development
- Data engineering for ML pipelines
- Model optimization and hyperparameter tuning
- MLOps practices and model deployment
- AI services integration including Comprehend and Rekognition
12-week program | 48 hours instruction | Includes lab access