Inflearn - Lifetime Career Platform

D-Lab: Energy provides a hands-on, project-based learning experience focused on small-scale, sustainable energy technologies in developing countries. Students will engage in practical projects that include the design, construction, and evaluation of energy systems such as micro-hydro, solar, and wind turbines.

This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis; it also includes an introduction to the analysis of complex biological systems. Topics covered in the course include principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction and network modeling, as well as currently emerging research areas.

This course is an introduction to the process of generating a symbolic description of the environment from an image. It covers the physics of image formation, image analysis, binary image processing, and filtering, with applications in robotics and intelligent machine interaction.

This course covers the fundamentals of deep learning, including both theory and applications. Topics include neural net architectures (MLPs, CNNs, RNNs, graph nets, transformers), geometry and invariances in deep learning, backpropagation and automatic differentiation, learning theory and generalization in high dimensions, and applications to computer vision, natural language processing, and robotics.

This course focuses on the practical aspects of designing and analyzing non-digital games. Learners will explore various game genres while collaborating in teams to create, develop, and test original games, gaining insights into game mechanics and rules.

This course provides a comprehensive overview of aircraft as integrated systems, emphasizing key aspects such as systems engineering, performance analysis, and lifecycle management. Learners will engage in practical case studies, including a detailed examination of the Space Shuttle's design and operations.

This course provides an introduction to key concepts in electrical engineering and computer science through the lens of digital communication systems. Learners will explore the foundational layers of bits, signals, and packets that underpin modern communication technologies, including the Internet.

This is an intermediate algorithm course that focuses on efficient algorithm design and analysis techniques. Learners will master various algorithm design paradigms, such as divide and conquer, dynamic programming, and greedy algorithms.

In this course, you will learn the basics of photography and gain an exciting new perspective on the visual world. While the focus is on science and engineering photography, most of the content can be easily applied to other types of macro photography.

This course introduces the mathematical modeling of computational problems. It covers common algorithms, algorithmic paradigms, and the data structures used to solve these problems.

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 course covers calculus at a first-year university level. In particular, it focuses on the integration of single-variable functions, allowing you to master various integration methods and technical approaches. As applications of integration, we will cover problems such as volume and surface area. You will also learn numerical integration methods using Python coding.

This course covers university-level first-year calculus. We focus intensively on single-variable function differentiation and learn various differentiation methods and formulas. As practical applications of differentiation, we select and study cases such as linear approximation, function increase and decrease, and optimization problems.

The Information Processing Industrial Engineer Written Exam course is a learning program designed to help test-takers prepare for the exam more systematically. This course focuses on developing logical thinking skills and problem-solving abilities so that even learners who are new to the accounting and IT fields can easily follow along. Through a systematic curriculum, we have organized the core theories frequently tested in the exam and structured the content to enable deep understanding of related concepts. Additionally, through learning that reflects actual exam formats, we help test-takers efficiently prepare for the exam. Through this course, learners can build their skills step by step with the goal of obtaining the Information Processing Industrial Engineer certification, while also acquiring foundational knowledge that can be utilized in practical work situations.

This course is a systematic learning process designed to prepare for the Information Processing Industry Engineer practical exam. Through this course, learners can systematically plan their exam preparation, and it is structured to develop logical thinking skills and problem-solving abilities together, rather than simply solving practice problems. In particular, learners will analyze various types of problems required in the practical exam and acquire the core competencies needed for the exam through learning that connects theory and practice. This will be of great help not only to learners aiming to obtain certification, but also to those who want to strengthen their IT practical skills. 👉 If you faithfully study this course, learners will not only get one step closer to obtaining the Information Processing Industry Engineer certification, but will also secure problem-solving abilities that can be immediately utilized in practical work environments.

This course explores the interdisciplinary field of assistive technology, focusing on designing solutions that enhance the independence of individuals with disabilities. Learners will engage in hands-on projects, collaborating with clients to create innovative devices and applications.

This course focuses on enhancing design skills, effective engineering practices, and impactful communication. Learners will explore design thinking methodologies to analyze and create innovative engineering solutions across various domains.

This course introduces first-year students to the New Engineering Education Transformation (NEET) program, focusing on cognitive approaches for solving complex challenges. Learners will engage in challenge-based learning to develop valuable problem-solving skills applicable in engineering and beyond.

This course delves into the fundamental steps of traditional boat design, bridging the gap between craftsmanship and modern engineering methods. Learners will engage in hands-on activities, creating half-hull models and translating their designs into technical lines plans with expert guidance.

This course explores the processing and structural characteristics of cellular materials derived from various substances, including polymers and metals. Learners will study the mechanical behavior of these materials and their innovative applications in engineering and medicine.