Udemy
GenAI Engineer Interview Prep: RAG, Embeddings, LLM Agents
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
Prepare with Confidence for the AWS Certified Generative AI Developer – Professional (AIP-C01) Exam
This course is designed to help you confidently prepare for and pass the AWS Certified Generative AI Developer – Professional (AIP-C01) certification exam. The content follows the official domain structure and focuses on the real, practical thinking AWS expects from GenAI developers: integrating foundation models into applications, managing data responsibly, building secure and governed AI workflows, optimizing cost and performance, and proving quality through testing and troubleshooting.
Rather than memorizing service lists, you’ll learn how to make correct design decisions under real-world constraints—latency, cost, privacy, reliability, safety, and operational readiness—so you can consistently choose the “best answer” in scenario-based exam questions and in production work.
Throughout the course, you’ll gain clarity on:
How to integrate foundation models into applications using well-architected GenAI patterns (prompting, tool use, RAG, embeddings)How to design data pipelines for GenAI (ingestion, chunking, indexing, retrieval quality, privacy controls)How to apply AI safety, security, and governance (guardrails, least privilege, policy controls, auditability, risk mitigation)How to run GenAI systems efficiently (latency and throughput tuning, caching, cost controls, scaling strategies)How to test, validate, and troubleshoot GenAI apps (evaluation methods, hallucination analysis, monitoring, error diagnosis)Clear explanations focus on why one option is best and why others fail—so you build true exam readiness, not guesswork.
Full Coverage of All AIP-C01 Exam DomainsDomain 1: Foundation Model Integration, Data Management, and Compliance
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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