When preparing for an interview, memorizing hundreds of questions can only take you so far. Interviewers rarely ask questions exactly as they appear in a preparation sheet. Instead, they test whether you understand the underlying concepts, can recognize familiar patterns, and can apply what you know to a new problem or situation.
That is the idea behind this book.
Every question covered in Cracking Your First AI/ML Interview represents a pattern that interviewers commonly use to assess your understanding of a particular AI/ML concept, your ability to reason through problems, and the way you approach unfamiliar situations.
Instead of simply giving you answers to memorize, this book helps you understand why a question is asked, what concept it is testing, what pattern lies behind it, and how you can approach similar questions in an actual interview.
The goal is simple: prepare you to solve questions you have never seen before.
Whether you're a student preparing for your first internship, a beginner applying for your first AI/ML role, or someone transitioning into the field, this book will help you move beyond question memorization and develop the understanding and problem-solving mindset needed to approach AI/ML interviews with confidence.
Don't prepare for questions. Prepare for patterns.
Aman Kharwal is an AI/ML Engineer, Mentor, Educator, and Author dedicated to helping the next generation of AI professionals build practical skills and launch careers. Through his books, tutorials, and educational content, he has helped thousands of learners understand AI and Machine Learning with real-world, hands-on projects. His work focuses on turning complex AI concepts into practical knowledge learners can confidently apply in interviews, projects, and industry.