Complete Guide to ML/AI Engineer Interview Questions

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

A Non-major Developer's 5-Year Journey: A Guide to Reducing Time and Trial and Error

You can benchmark manufacturing innovation methods for semiconductors and run machine learning and deep learning with semiconductor data without coding.

"In the early 2000s, when I first set foot in this industry, bookstores were filled with nothing but books preaching 'principles.' While you actually need to see the forest in the field, those books were busy talking about the cell division of tree bark. In that state, I was dropped into the middle of the deserts in Qatar, the UAE, and Saudi Arabia, learning HVAC the hard way by 'hitting the ground running.' (The sweat I shed back then could have probably created an oasis.) Later, when I moved to a data center and sat as an interviewer, I was surprised to find that many applicants still couldn't see the 'forest,' just like I couldn't 10 years ago. Out of frustration, I thought, 'I might as well set the stage myself,' and that's how I created this course. This is a 'condensed practical summary' of everything I've realized through 17 years of hands-on experience. Don't struggle as I did; use this course as a 'cheat code' to level up with ease. I always welcome your curiosity. The Q&A board and my inbox are on 'infinite standby,' open 24 hours a day."

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!

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.

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

Beyond the basics of API design, CRUD implementation, and JWT authentication, all the way to backend architecture design! This is an introductory system design course to help you create 'your own backend architecture' so you can confidently discuss design experience in interviews.

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

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.

- I am a Research Engineer/AI PM running a 4-year-old AI startup. - This video is a lecture for those who want to start studying artificial intelligence "now" or in "2026". - Looking at college students, I see many who have no idea how to get started with artificial intelligence. - I hope that after watching this lecture, you'll be able to start studying artificial intelligence. - For reference, this lecture is not about "using AI in my work" or "getting started with monetization methods using GPT". - This is a video about how students, graduate students, or developers can get started when they want to study artificial intelligence.

An introductory AI lecture tailored for those new to artificial intelligence! It easily summarizes core concepts from data to generative AI. The goal is not to build AI, but to achieve a level of practical understanding where you can ask the right questions and explain the technology.

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.

This course was created to solve a common problem many people face while preparing for developer jobs: "I studied CS and data structures, but I get tongue-tied during interviews." While conducting actual interviews at companies like Naver, Kakao, and Toss, I noticed that most candidates have memorized concepts but cannot explain why those concepts are necessary or how they are applied in real-world situations. Rather than simple rote memorization, this course teaches you how to understand the interviewer's intent and provide more persuasive answers to the same questions. Whether it's the OSI 7 layers, data structures, or coding tests, we focus on why you need to know them, when they are used, and how to speak about them to receive a positive evaluation in an interview. This course is for those who want to become developers who can explain what they understand in their own words, rather than just giving the same answers as everyone else.

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.

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

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!