This program equips you with the knowledge and skills a Generative AI Developer needs to know to build reliable enterprise AI solutions on AWS and helps you prepare for the AWS Certified Generative AI Developer – Professional certification exam.
As a generative AI developer, you’ll develop skills to build enterprise-scale solutions through this five-part plan. Part 1 focuses on integrating foundation models with Amazon Bedrock, implement architectures with AWS Lambda and AWS Step Functions, manage multimodal data, and apply prompt engineering. Part 2 explores agentic AI, model deployment, enterprise AI enhancements, FM API patterns, and AI-assisted development tools. Part 3 addresses responsible AI using Amazon Bedrock Guardrails, applying AWS seven-layer security, and establishing governance with Amazon SageMaker Model Cards and AWS Glue Data Catalog. Part 4 covers cost optimization and resource efficiency strategies, enhancing performance with pre-computation and retrieval systems, and monitoring AI workloads including throughput and anomaly detection. Part 5 delivers reliable outputs through evaluation frameworks for relevance and accuracy. You’ll apply testing methods like A/B testing and multi-model comparison, develop user-centered quality assurance, and use Amazon Bedrock to detect hallucinations.
