Ultimate AWS Certified Generative AI Developer Professional

About this course

In addition to the exam specific domains, this question bank of 300 + 150 harder & new questions will cover the following knowledge areas:1. Amazon Bedrock Fundamentals2. Foundation Model Selection3. Prompt Engineering4. RAG & Knowledge Bases5. Embeddings & Vector Stores6. Model Customization & Fine-Tuning7. Bedrock Agents & Tool Use8. Responsible AI & Guardrails9. SageMaker for Generative AI10. Security, Cost & OperationsDistribution across the 6 practice tests: each test (75 questions) draws a balanced 7–8 questions per domain. Good luck with your exam. I will be publishing a course on all relevant topics in the next few months.Here are the exam domains these set of practice tests will cover:Domain 1: FM Integration, Data & Compliance (31%). Knowledge Bases sync behavior, vector store scale patterns (pgvector vs OpenSearch Service), and prompt engineering techniques.Domain 2: Implementation & Integration (26%). Bedrock Agents vs AgentCore vs Step Functions, Converse API vs InvokeModel, Return of Control, and streaming architectures.Domain 3: AI Safety, Security & Governance (20%). Guardrails mechanics, IAM access control patterns for Bedrock, VPC endpoint vs NAT gateway, Q Business vs Knowledge Bases.Domains 4 & 5: Optimisation & Testing (23%). Cost traps (Provisioned vs On-demand), evaluation metrics (ROUGE/BLEU/BERTScore), and throttling recovery patterns.The final exam tests your practical knowledge across these core areas: Foundation Models (FMs): Selecting, customizi

Course objectives

• to prepare students for the AWS Certified Generative AI Developer Professional exam
• to enhance knowledge in generative AI technology and practices