Udemy
GenAI Engineer Interview Prep: RAG, Embeddings, LLM Agents
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
Generative AI is one of the most important skills for modern product, business, consulting, data, and technology roles.
This course helps you prepare for GenAI interviews through 6 practice tests and 180 interview-style questions covering GenAI fundamentals, LLMs, prompts, RAG, embeddings, vector databases, AI agents, function calling, AI product strategy, business use cases, evaluation, risk, governance, and responsible implementation.
Each question is designed to test practical understanding, not memorization. You will practice conceptual questions, scenario-based questions, product judgment questions, business tradeoff questions, and implementation-focused questions.
This course is designed to help you prepare through 6 high-quality practice tests with 180 interview-style questions.
The goal is simple:
This course includes 6 practice tests:
Build your foundation in Generative AI concepts, use cases, limitations, and model basics.
Practice questions on LLM behavior, prompting, context, temperature, hallucinations, and output quality.
Understand retrieval, embeddings, semantic search, vector databases, chunking, and grounded AI responses.
Practice Test 4: AI Agents, Tools & Function Calling
Learn how AI agents use tools, execute workflows, call functions, and handle multi-step tasks.
Practice Test 5: GenAI Product Management & Business Use Cases
Apply GenAI thinking to product strategy, business use cases, ROI, metrics, adoption, and tradeoffs.</
Ready to start? Continue on Udemy to enroll.
Start learning on Udemy (opens in a new tab)Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.
0 courses
Udemy: 2026-09-27 · Coursera: 2026-09-27
Prices and discounts are shown on each provider's site.
Try fewer words or clear your filters.