For organizations investing in AI initiatives, this certification provides a reliable way to identify and verify developers who can move beyond proofs-of-concept
to build production-grade generative AI solutions that deliver tangible business results while maintaining security and cost efficiency.
Who should take this exam?
The target candidate should have 2 or more years of experience building production grade applications on AWS or with open-source technologies, general AI/ML or data engineering experience, and 1 year of hands-on experience implementing generative AI solutions. The target candidate should have the following AWS knowledge:
• Experience with AWS compute, storage, and networking services
• Understanding of AWS security best practices and identity management
• Experience with AWS deployment and infrastructure as code tools
• Familiarity with AWS monitoring and observability services
• Understanding of AWS cost optimization principles
The Advanced Generative AI Development on AWS is designed for developers seeking to master the implementation of production-ready generative AI solutions on AWS. The course addresses the needs of organizations embarking on their generative AI journey and how to build comprehensive generative AI strategies that align with broader business objectives. This advanced 3-day instructor-led training builds expertise across the entire generative AI stack - from foundation models to enterprise integration patterns. In addition, you will learn about advanced data processing techniques, vector database implementation and retrieval augmentation, sophisticated prompt engineering and governance, agentic AI systems and tool integration, AI safety and security measures, performance optimization and cost management strategies, comprehensive monitoring and observability solutions, testing and validation frameworks. The course structure follows AWS's proven model for generative AI adoption, progressing from experimentation to production-ready implementations.
In this advanced two-day course, software developers learn to build and customize AI solutions by using Amazon Bedrock programmatically. Through hands-on exercises and labs, participants will invoke foundation models through Amazon Bedrock APIs, implement Retrieval Augmented Generation (RAG) patterns with Amazon Bedrock Knowledge Bases, and develop AI agents with tool integration. The course focuses on the practical implementation of prompt engineering techniques, responsible AI practices with Amazon Bedrock Guardrails, open source framework integration, and architectural patterns for real-world business applications.
In this course, you will learn how to leverage generative artificial intelligence (AI) within your organization. We’ll cover how to drive business value with generative AI, the use cases across various industries, and the considerations to implement generative AI safely and responsibly. The goal of this course is to provide you with the fundamental concepts and tools you'll need to successfully lead generative AI initiatives within your organization.
Official Certification
Validate your expertise with a globally recognized certification. Register for the next exam session.
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