Develop practical, source-aligned skills in AI-assisted software development with AWS Kiro through structured explanations, guided implementation, security and operations review, troubleshooting, and applied validation.

Use Amazon Quick capabilities for AI-assisted business intelligence, data analysis, dashboards, insights, sharing, and governance.

Understand generative AI foundations and learn how AWS services support building, training, and deploying AI-enabled solutions.

Configure Amazon Connect fundamentals for cloud contact centers, including users, routing, flows, channels, reporting, and security.

Implement advanced Amazon Connect contact-center capabilities, integrations, automation, analytics, security, and resilient operations.

Build a practical AWS foundation across core cloud services, scalability, security, operations, and innovation patterns.

Develop deep learning skills across neural-network foundations, data preparation, model training, evaluation, deployment, and AWS implementation.

Develop practical, source-aligned skills in machine-learning and deep-learning solution development across the full lifecycle through structured explanations, guided implementation, security and operational review, troubleshooting, and applied validation.

Develop and troubleshoot generative AI applications on AWS through guided content and challenge-based AWS JAM activities.

Design agentic AI solutions with Amazon Bedrock AgentCore, including tools, context, memory, orchestration, security, and evaluation.