Master Amazon Web Services with comprehensive practice tests
Cloud fluency and foundational AWS knowledge including core services, security, compliance, billing and pricing models.
Understanding of AI, ML, and Generative AI concepts and use cases on AWS.
Design and implement distributed AWS systems that are scalable, resilient, and cost-optimized.
Cloud-native application development skills and hands-on knowledge of core AWS services.
Skills in deploying, managing, and operating workloads on AWS aligned with latest industry best practices.
Data pipeline implementation and optimization on AWS.
Ability to build, deploy, and maintain ML solutions on AWS.
Design and deployment of scalable, complex AWS architectures including multi-tier applications, high availability, and disaster recovery.
Automation of testing and deployment, implementing CI/CD pipelines, and operating highly available systems on AWS.
Integrate foundation models into applications and business workflows, implement GenAI solutions in production using AWS technologies.
Design and management of AWS networks including hybrid connectivity, network architecture, and advanced routing.
Advanced ML model development, tuning, deployment, and optimization on AWS.
Security architecture, access controls, data protection, incident response, and detection capabilities on AWS.
Build foundational knowledge before moving to associate-level certifications.
Use AWS Free Tier to gain practical experience with core services.
Review explanations for incorrect answers and revisit challenging topics.