Udemy
Generative AI : LLM, Fine-tuning, RAG & Prompt engineering
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
AWS Certified Generative AI Developer – Professional Prepare with confidence for the AWS Certified Generative AI Developer – Professional exam by taking this comprehensive mock exam course, meticulously designed to simulate the real testing experience. This course includes six full-length mock exams, each featuring carefully crafted, scenario-based multiple-choice and multiple-response questions that reflect the latest AWS generative AI services, best practices, and architectural patterns.
Each mock exam contains questions covering all major domains, including model training and fine-tuning, prompt engineering, inference patterns (synchronous and asynchronous), hybrid architectures, data pipelines, agent orchestration, model security, monitoring, cost optimization, and integration of AWS services such as Bedrock, SageMaker, and Lambda.
What sets this course apart is the inclusion of detailed explanations for every answer choice, both correct and incorrect. These explanations go beyond simple definitions—they clarify subtle nuances, address common misconceptions, and highlight edge cases relevant to real-world AWS GenAI development scenarios. Whether you're preparing for production deployments, building human-in-the-loop systems, or optimizing LLM performance, these explanations ensure a deeper understanding of the subject matter.
Designed for developers, ML engineers, and solution architects with AWS and AI/ML experience, this course is ideal for final-stage exam preparation or for identifying knowledge gaps. If you're aiming to pass the AWS Certified Generative AI Developer – Professional exam with confidence and clarity, this course is your ultimate practice tool.
Can I retake the practice tests?
Yes, you are welcome to attempt each practice test as many times as you like. After completing a test, you will receive your final score. Each time you retake the test, the questions and
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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