ML/AI エンジニア面接問題総まとめ

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

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 problem-solving course is a core summary course for certification success. First, you will quickly review the basic concepts of AI/ML and generative AI, and learn the functionalities and use cases of key AWS AI services that frequently appear on the exam (e.g., SageMaker, Rekognition, Polly, etc.). Based on this, you will practice determining which AI solution is suitable for various real-world problem situations, and also cover topics related to the responsible use of AI models and data security. Finally, you will learn problem-solving strategies for each type of past exam question and prepare for the exam through practical mock tests. Through this course, you can efficiently prepare for the exam in a short period.

Beyond how to write a resume, we will show you how to manage your career and succeed in interviews.

A general education lecture for the public to shed the vague fear of artificial intelligence. Through concrete examples, we learn what AI learning truly means. Also, via specific examples, we examine AI's 'brain structure' and how it thinks.

This lecture reveals employment secrets to prepare you for game programmer interviews. It handpicks frequently asked interview questions for game programmers.

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.

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.

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!

Database concepts most frequently encountered in interviews and practical work, This introductory course is organized flow- and diagram-centrically. From SQL basic syntax to normalization, transactions, indexes, sharding/partitioning, and security, It explains seemingly complex DB concepts, structurally linking them with real-world examples. Finally, an interview practice chapter is included, So you can confidently answer questions like "What is a transaction?" and "When are indexes used?".

This is a core CS (computer-science) lecture that organizes essential data structure concepts, which are required for practical work and interviews, centered around intuitive flow and diagrams. It covers the entire range from arrays and lists to trees, graphs, and heaps, selecting only the key parts. It's designed to help even first-time learners quickly grasp the overall context by explaining concepts in a connected structure rather than a simple enumeration. The slides are structured in an organized note format suitable for review, and are especially recommended for those looking for a final review before an interview or who wish to solidify their basic concepts.

This course carefully selects only the essential Java core concepts you must know for practical work and interviews, covering everything from object-oriented programming to collections, multithreading, and modern Java all in one comprehensive guide. Beyond basic syntax, we explain advanced concepts that make the difference in interviews through diagrams and examples in an easy-to-understand way, organized with slides for quick review at a glance. If you want to systematically organize Java core concepts, start right now.

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.

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.

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 is a core CS (computer-science) lecture that selects only the computer architecture concepts frequently encountered in practice and interviews, explaining and organizing them easily with a focus on diagrams. It was designed so that even those encountering it for the first time can grasp the flow and quickly continue with subsequent learning. The slides themselves are structured to serve as reviewable summary notes. If you want to get a grasp of the computer architecture flow, start right now.

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.

Do you dread the moment of persuasion? Stop negotiating by gut feeling and emotion! With ex-Apple Business Coach Jasmine Han, 15 mins daily, in a month, you'll take negotiation control.