Develop practical, source-aligned skills in building generative-AI applications with Amazon Bedrock through structured explanations, guided implementation, security and operational review, troubleshooting, and applied validation.

Build advanced generative AI solutions on AWS using foundation models, retrieval, orchestration, evaluation, security, and production patterns.

Apply AWS architecture concepts through instructor guidance and challenge-based AWS JAM scenarios.

Learn AWS terminology, global infrastructure, console navigation, and the core compute, networking, storage, database, and security services.

Develop practical, source-aligned skills in AWS VPC and cloud networking through structured explanations, guided implementation, security and operations review, troubleshooting, and applied validation.

Explore the foundations of autonomous AI agents, decision-making, tools, workflows, memory, and practical application design.

Develop practical, source-aligned skills in AWS cloud foundations combined with global-network design using AWS Cloud WAN through structured explanations, guided implementation, security and operational review, troubleshooting, and applied validation.

Build operational skills for deploying, managing, monitoring, securing, and maintaining workloads and infrastructure on AWS.

Develop practical, source-aligned skills in AWS cloud-computing foundations and core service usage through structured explanations, guided implementation, security and operational review, troubleshooting, and applied validation.

Develop practical, source-aligned skills in building and operating cloud data warehouses on AWS through structured explanations, guided implementation, security and operational review, troubleshooting, and applied validation.