Certification Exam Prep Workshop - AWS Certified Developer Gen AI - Prof

This workshop prepares learners for the AWS Certified Developer - Associate exam by strengthening key concepts & practical skills.

Prepare for the AWS Certified Developer – Generative AI Professional exam by reviewing advanced concepts required to design, build, and optimize generative AI applications on Amazon Web Services. This session focuses on the development lifecycle of generative AI applications, including prompt engineering, model selection, application integration, and responsible AI practices. Participants will explore how services such as Amazon Bedrock, Amazon SageMaker, and vector databases are used to build scalable generative AI solutions. Through exam-focused discussions, architecture examples, and practice questions, learners will gain the knowledge and strategies needed to approach the certification exam confidently.

Learning Outcomes and Objective

• Understand the key domains and objectives of the AWS Certified Developer – Generative AI Professional exam.

• Learn how to design and develop generative AI applications using Amazon Bedrock and other AWS AI services.

• Apply prompt engineering, retrieval-augmented generation (RAG), and model integration techniques in application development.

• Understand best practices for security, responsible AI, and cost optimization in generative AI solutions.

• Practice exam-style questions and learn strategies to effectively prepare for and pass the certification exam.

• Development with AWS Services

• Security

• Deployment

• Troubleshooting and Optimization

Key Topics Covered

• Overview of the AWS Certified Developer – Generative AI Professional Certification

• Building Generative AI Applications with Amazon Bedrock

• Prompt Engineering and Retrieval-Augmented Generation (RAG)

• Security, Responsible AI, and Performance Optimization

• Exam Preparation Strategies and Practice Questions