Artificial Intelligence (AI) Interview Prep EssentialsMaster AI, ML, LLMs & GenAI concepts and communicate confidently in interviews using clear, practical business reasoningArtificial Intelligence is now part of every modern role — not just technical jobs. Whether you're a project manager, business analyst, product owner, QA professional, DevOps engineer, or a general job seeker, interviewers increasingly expect you to understand how AI impacts your work, your projects, and your organization.This book gives you a clear, practical, business-friendly foundation in AI concepts so you can confidently handle AI-related interview questions without confusion or jargon. You'll learn how AI, machine learning, LLMs, and generative tools like ChatGPT fit into the broader business landscape and how to communicate their value during interviews.Inside the course, you’ll explore:How to explain key AI concepts in simple, professional termsHow modern AI tools influence software development, QA, DevOps, product workflows, and project deliveryHow to express the business value, opportunities, and risks associated with AIHow to speak clearly about AI ethics, governance, data use, and responsible adoptionHow to structure thoughtful, interview-ready answersYou’ll also see a few sample Q/As to understand how strong answers are framed, helping you connect concepts with real interview expectations.If you want a fast, well-structured introduction before diving deeper into interview practice, this course is your ideal starting point.HighlightsFast, structured crash course for business professionalsClear explanations of AI, ML, LLMs, and generative AIReal-world examples from multiple domainsEthical, risk, and governance considerations explained simplyA few sample QAs to demonstrate how to frame strong answersBusiness-oriented, high-confidence interview preparationPerfect starting point before deeper Q/A or advanced AI learning
Approaching Questions on..Foundational AI ConceptsGenerative AI and LLMsSoftware DevelopmentDevOps / MLOpsQuality Assurance / TestingProject and Product ManagementEthical and Responsible AIBusiness and Decision-MakingTools and EcosystemsData StrategyNext Steps