Inflearn - Lifetime Career Platform

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

Build barrier-free work experience through AI zero-capital entrepreneurship in just 2 weeks

This course introduces major approaches to symbol-based music theory and musicology. Learners will explore various topics, including music theory algorithms, music generation, and machine learning.

This seminar focuses on learning basic conversational Italian, Italian culture, and the Mediterranean diet. Participants can pick up the Italian language and culture bit by bit while preparing delicious dishes.

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.

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.

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.

It is designed to help learners acquire knowledge about the overall research process and develop the ability to conduct actual research in educational settings, by reducing the burden of writing research papers or reports and enabling systematic and efficient composition of research papers or reports.

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."

Learn multi-level data analysis using Structural Equation Modeling (SEM) bootstrapping techniques and Hierarchical Linear Modeling (HLM). This is an advanced course designed to help you grow into a statistical expert capable of analyzing complex research data, covering everything from advanced AMOS features to the practical application of HLM. You will master both theory and practice through real-world research cases in the fields of education, psychology, sociology, and health.

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 one-semester university lecture and covers essential content for those new to programming or beginners planning to major in computer science. Additionally, through this course, non-computer science majors or those with a humanities background can develop the ability to communicate easily with professional programmers. Even in an era where learning prompts for "AI vibe coding" is necessary, computational thinking allows you to develop the ability to instruct AI more accurately and effectively.

This course provides a solid foundation in the essential linear algebra required for AI learning and research. It covers core concepts frequently encountered when preparing for AI graduate school admissions, reading research papers, and conducting research, as well as fundamental numerical linear algebra techniques.

For the second subjective test, look back at the topics that were on the first objective test that year. Those test takers will succeed in the second test.

We introduce 386 MOOCs from world-renowned universities covering all aspects of history, organized by era, country, and topic.

This article explains the list of 615 MOOCs by major from 150 prestigious universities in 30 countries around the world. Table of Contents - History, Philosophy, Religion, Literature, Law, Politics, Economics, Sociology, Anthropology, Psychology, Arts, Education, Management, Environment, Medicine, Computer Science, Foreign Languages