Complete Guide to ML/AI Engineer Interview Questions

This special lecture concurrently prepares for Microsoft AI-900 certification, featuring the latest content reflecting May 2025 exam scope, combining theory and practice, including AI overview, machine learning basics, computer vision, natural language processing, document intelligence, knowledge mining, and generative AI.

From documents to interviews, the A-Z of designer employment is included. We will show you in detail how to increase your chances of passing by watching the interview process of an actual applicant that you cannot see anywhere else.

This book contains all the know-how of a person who majored in physical education and started studying development at the age of 29, becoming a top-tier developer at a company with a salary of 40 million won at the age of 30, 60 million won at the age of 31, and more than x million won at the age of 32!

Based on my experience as an interviewer and 14 years in charge of recruitment, having helped over 3000 people pass, I will provide detailed know-how for passing interviews from an interviewer's perspective.

Data Science(DS) & Artificial Intelligence(AI) job role analysis, plus a learning & employment roadmap for building a career in these roles.

The AWS Certified AI Practitioner practice exam course is a core summary program for passing the certification. First, you'll quickly review the fundamental concepts of AI/ML and generative AI, and learn about the features and use cases of AWS's major AI services that frequently appear on the exam (e.g., SageMaker, Rekognition, Polly, etc.). Based on this, you'll practice determining which AI solutions are appropriate for various real-world problem scenarios, and also cover content related to responsible use of AI models and data security. Finally, you'll learn problem-solving strategies by question type and prepare for the exam through practice mock tests. Through this course, you can efficiently prepare for the exam in a short amount of time.

For those who have chosen a career in information security/information technology and are preparing to move to large corporations/financial institutions, we will reveal our strategy for passing the exam. A current CISO who has personally recruited and recommended numerous people will share his secrets for passing the exam. He has heard from his acquaintances, security company CEOs and executives of large companies, and compiled a recruitment bible by collecting a vast amount of recruitment secret data.

This is a machine learning lecture written like a story in easy-to-understand language without formulas, tailored to the level of liberal arts students!

This course is ideal for those who want to focus on theory and context rather than practice, aiming to organize their knowledge of deep learning in depth and grasp the big picture. It makes the mathematical and statistical foundations of deep learning easy to understand and provides intuitive interpretations of key modern models—such as AutoEncoder, GAN, Transformer, and AlphaGo—from a developer's perspective.

I worked at a company called Algolia in France from 2019 to 2022. I would like to share the reason why I applied to this company, the process of moving, and what I learned and my thoughts. This is not a video like "Secrets to Successful Overseas Employment" that can be applied to everyone. However, I hope that this video, which details my personal experience, will be a good hint to many people.

Listening to the interview speech can help you pass the interview with flying colors.

A course that helps you understand core data structure concepts and practice explaining them verbally in interviews

Through this lecture, you'll be able to learn about the AI graduate school admission process and preparation methods from start to finish! I'll also share some great tips to increase your chances of getting accepted!

Conquer everything about world-changing AI in just 4 lectures! Lecture 1. The True Identity of Artificial Intelligence AI is not magic. It's a digital brain created by analyzing human 'intelligence' like a mathematical formula! We thoroughly dissect the core structure of seemingly smart artificial intelligence. Lecture 2. Algorithm, AI's Creative (?) Thinking Method How does a pondering AI find answers? Experience firsthand the strategies of AI that plays Go, finds routes, and predicts your search results. Lecture 3. AI Hardware, The Engine That Turns Imagination Into Reality! The chip inside your smartphone is the heart of AI. We dissect everything from CPU, GPU, TPU, to even those unknown names. Lecture 4. The Great Clash of Machine Learning and Deep Learning! What on earth does it mean for AI to 'learn'? From classic rule-based AI to the currently hot ChatGPT! We trace the evolution of learning.

Do you feel overwhelmed just thinking about moments of persuasion? Stop relying on emotions and intuition in negotiations! With Jasmine Han, former Apple business coach, you can take control of negotiations in just 15 minutes a day for one month.

If you are preparing for a data analyst job or career change and were curious about hearing from someone in the field, ask a data analyst anything!

An introductory AI lecture tailored for those new to AI! Key concepts, from data to generative AI, are simply explained. The goal is practical understanding, enabling you to question and explain AI, not build it.