Inflearn - Lifetime Career Platform

The core of data science is expertly mimicking humans' ability to systematically analyze vast data! Through this process, you can refresh fundamental mathematical knowledge needed to understand scientific modeling, which forms the basis of data science.

This is a practical English grammar course for middle school students who have memorized grammar rules but still struggle with sentence interpretation. Based on the 1316 Grammar Level 2 textbook, students will develop the ability to read and understand English in its natural word order through sentence structure analysis training and direct reading practice, while completing the grammatical foundation necessary for school exams.

This is a practical guide to AI-based career exploration for children in grades 4–6. Using the AI-SPARS algorithm, it precisely analyzes a child's interests, aptitudes, and values, teaching how to complete a customized career and academic portfolio prepared systematically from elementary school. Parents and teachers can directly implement a data-driven career design process that suggests a direction rather than a single fixed answer.

This course will help you build your knowledge of the fundamentals of integration of multivariable functions.

Through this course, you will learn the basics of optimization theory for multivariable functions and gain a comprehensive understanding of vector functions.

An AI study system that increases learning efficiency by 400% with just a 1-hour investment. Proven by achieving a perfect 4.5 GPA and ranking top of the class for 5 consecutive semesters with only 1–2 hours of study per week.

This course teaches you how to use LaTeX to write formulas.

Master the linear algebra content required for AI/deep learning by investing 10 minutes a day and completing it in one month.

Bestseller 『Study Computer Architecture + Operating Systems on Your Own』 author's free lecture. A collection of computer architecture and operating systems books that developers must know.

Are you frustrated because you can follow along with the code but can't explain why it works? This course starts from a single transistor and connects logic gates, memory, ALU, and CPU right before your eyes, even without any prior knowledge of programming or hardware. Understand abstract theories as if you were assembling them through rich visual materials and three comprehensive projects. Complete your foundational development strength by learning to explain the entire process of how variables and functions become machine code and are executed.

This lecture covers the basics of how the virtual world that makes up a game is created with mathematics. Through basic mathematics, you will understand the principles of game engine composition and learn practical game mathematics that makes up a three-dimensional space.

This course covers introduction to linear algebra, and you can master introduction to linear algebra through the lectures.

The purpose of a report is not "explanation," but a decision. This course is not about how to add more data; it is about how to build a structure that leads to a decision. - Why reports fail to get approved despite having plenty of data and evidence - What decision-makers look for in 3 seconds (Title/Summary/Decision Points) - How to persuade through choices and alternatives, rather than just numbers or results - How to structure your report using the Problem–Solution–Scale Up–Confidence framework After this course, you will be able to rewrite your reports as a "decision-making map."

This course is a hands-on program for practicing the fundamentals of machine learning mathematics and statistics using Python. While machine learning and deep learning require programming skills, a mathematical background is essential to understand the underlying principles. Through this course, you can step-by-step master the foundational mathematics required for artificial intelligence!

Along with reading, writing, and arithmetic, computational thinking is an essential skill that everyone living in the AI era must possess. Simply put, computational thinking can be defined as thinking like a programmer or a computer scientist. This course replicates an actual full-semester university lecture and covers essential content for those new to programming or beginners planning to major in computer science. Furthermore, through this course, non-computer science majors or those with a background in the humanities can develop the ability to communicate easily with professional programmers. Even in an age where learning prompts for "AI vibe coding" is necessary, computational thinking will help you develop the ability to instruct AI more accurately and effectively.

We introduce tech trends of the 4th industrial revolution era that we need to know, such as artificial intelligence, the Internet of Things, fintech, virtual reality, self-driving cars, blockchain, and 5G based on big data, and explain how they are being implemented in our daily lives.

This course enhances kanji learning through engaging video lectures covering kanji characters from Tobira lessons 6–10. Students will learn not only how to write kanji but also the fascinating stories behind each character.

This course is a seminar on the philosophical analysis of film art, focusing on how films create meaning through their formal structures. Learners will explore aesthetic issues surrounding appearance and reality, as well as the effects of film technology on communication and alienation.

Have you been getting stuck on linear algebra formulas every time you try to study AI? Instead of memorizing formulas, this lecture shows you visually how vectors and matrices actually move in space. By the end of the course, you will be able to interpret the mathematics behind neural networks, PCA, and SVD on your own.

This course delves into advanced principles of statistical mechanics, focusing on thermodynamics and modern statistical physics topics. Learners will explore concepts such as phase transitions, critical phenomena, and the hydrodynamic limit, building on foundational knowledge from the first term.