Generative AI Interview Questions Practice Tests: 180 Qs

About this course

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:To help you become more confident in Generative AI interviews and real-world AI discussions.Course StructureThis course includes 6 practice tests:Practice Test 1: GenAI FundamentalsBuild your foundation in Generative AI concepts, use cases, limitations, and model basics.Practice Test 2: LLMs, Prompts & Model BehaviorPractice questions on LLM behavior, prompting, context, temperature, hallucinations, and output quality.Practice Test 3: RAG, Embeddings & Vector DatabasesUnderstand retrieval, embeddings, semantic search, vector databases, chunking, and grounded AI responses.Practice Test 4: AI Agents, Tools & Function CallingLearn how AI agents use tools, execute workflows, call functions, and handle multi-step tasks.Practice Test 5: GenAI Product Management & Business Use CasesApply GenAI thinking to product strategy, business use cases, ROI, metrics, adoption, and tradeoffs.</

Course objectives

• prepare for Generative AI job interviews
• improve understanding of AI-related scenarios
• build confidence in discussing AI in professional settings