Inventor 2021 Basics

This course is designed to teach the entire process of 'AI Training Data Construction,' which is essential for successfully executing AI modeling projects. Learners will not simply remain at the theoretical knowledge level, but will experience step-by-step the data construction processes required in actual practice. Specifically, the course covers the entire process from AI training data planning → acquisition → storage → preprocessing → labeling → pseudonymization and transformation through hands-on practice, structured to develop practical skills that can be immediately applied in the field. Additionally, learners will systematically study the most important data management capabilities in AI projects, such as data quality management and security issues, personal information de-identification processing, and dataset optimization. Through this, learners can grow from simple data collectors into data specialists who can proactively plan and execute AI projects. 👉 Through this course, learners will understand how to construct high-quality training data that determines AI model performance and acquire practical capabilities to effectively apply this in real work environments.

This course is designed to learn the fundamental theories and practical processes necessary for applying AI modeling and service planning to real-world work environments. Learners can acquire essential foundational knowledge to skillfully perform AI modeling projects and experience various practical procedures used in actual business settings. The course is specifically structured to provide step-by-step learning of the entire workflow from AI service environment analysis → goal setting → requirements analysis → service model design → scenario planning → utilization planning → execution plan development → performance evaluation planning. Through this approach, learners can develop systematic thinking and practical application skills for how to introduce and utilize AI from business and service planning perspectives, rather than limiting themselves to purely technical learning. Upon completing this course, learners will understand the overall planning and execution process of AI projects and will be able to strengthen their capabilities as AI service planners, PMs, and data-driven strategists in actual corporate environments.

The Computerized Accounting Level 1 certification is a nationally recognized qualification that evaluates the ability to practically utilize accounting information. This course is supervised by the Korean Tax Accountants Association and is designed to achieve exam success using the KcLep program. The Computerized Accounting Level 1 exam is an intermediate-level qualification test that covers overall tax and accounting processing based on manufacturing companies, including practical problems across all areas of financial accounting, value-added tax, and cost accounting. In this course, you will systematically learn how to handle core accounting tasks such as financial statement preparation, VAT reporting, and cost calculation under conditions similar to actual work environments through the KcLep program. Through this, you can simultaneously improve both practical accounting skills and the competency to obtain computerized accounting certification.

Python with easy and intuitive grammar! Learn Python, which is famous as an introductory programming language, from the basics to practice! In this lecture, you will learn about Python, variables, data types, conditional statements, and loops.

This is a course to learn the Python programming language with 100 problems. This course consists of a total of 3 parts, and in Part 2, you will solve problems on the topic of arrays and functions.

This course is for those who are new to After Effects, and explains the overall usage method focusing on the most basic contents, and learns the basic process of motion work through simple tasks.

Learn the fundamentals of Onshape and learn the basics of 3D modeling and CAD.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

Learn the basics of Enscape for Revit users and acquire skills for real-time rendering and 3D visualization integration in design work.

This course is a video lecture that covers essential development environment setup and basic VS Code usage for React.js and Vue.js frontend learning. It provides step-by-step guidance from environment setup to utilizing basic features that enhance productivity, with a focus on hands-on practice.

Learn Java programming language by solving 100 problems. The entire course consists of 5 parts. In this course, Part 5, you will solve problems on topics such as certification (COS Pro Level 2), collections, and generic concepts.

This is an introductory course on 3D graphic modeling using Autodesk Maya, a 3D modeling software. The course consists of four parts, and in this course, we will start with tool installation and learn the basic functions of Maya.

You can effectively study the contents of the Information Security Engineer practical exam questions and obtain the Information Security Engineer practical qualification.

You can effectively study the contents of the Information Security Engineer practical exam questions and obtain the Information Security Engineer practical qualification.

You can effectively study the contents of the Information Security Engineer practical exam questions and obtain the Information Security Engineer practical qualification.

Through this course, you can study short answer and descriptive questions from past practical exams for the Information Security Engineer.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

This course is a **practical-focused lecture** that covers how to apply **conversational AI (ChatGPT, etc.)** to actual company work. Beyond simple AI usage methods, it is structured to enable learning of specific cases such as work automation, document creation, idea generation, and data analysis assistance that can be utilized in various departments and job environments. Through this course, learners will master methods to streamline repetitive and time-consuming tasks with AI, and experience smart workflows that collaborate with AI. Additionally, by understanding AI's strengths and limitations, it helps make correct decisions in actual business situations. Upon completing this course, you will be able to utilize conversational AI including ChatGPT as a tool to enhance work productivity, which will serve as an important foundation for securing competitiveness in future work environments.

Learn Java programming language by solving 100 problems. The entire course consists of 5 parts. In this course, Part 4, you will solve problems on advanced OOP concepts, abstract classes, and algorithms.

Inventor, a brother of Autodesk's AutoCAD! The latest Feature-based Parametric 3D Solid Modeling design tool.

In this course, you will learn advanced features that can improve design automation and design productivity in Inventor 2023.