Middle school students will use the AI-SPARS tool to systematically analyze their interests and strengths, and explore customized careers, majors, and elective courses. The program is practice-oriented, ranging from AI in-depth interviews to career roadmap design, ultimately resulting in the completion of a personalized career portfolio.

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.

Design and create your own student-customized AI Tutors and AI Avatars using generative AI such as ChatGPT and Gemini along with Google Colab. From prompt engineering and data analysis to building an AI Career Exploration Platform for career and academic counseling, you will complete practical projects that can be immediately applied in the classroom.

Build a fully functional smart farm platform that integrates sensor data collection, MQTT communication, web dashboards, and AI-driven environmental analysis. Experience the entire process of agricultural digital transformation (DX) through a hands-on project, covering everything from IoT sensor integration and FastAPI/Spring-based API servers to React/Vue dashboard development and cloud deployment.

This is an advanced course where you will directly implement and interpret practical statistical techniques such as sampling distributions, hypothesis testing, regression analysis, and logistic regression using R. By utilizing AI tutors like ChatGPT and Gemini, you will learn everything from code generation to interpreting analysis results and writing reports, allowing you to take your data analysis capabilities to the next level.

Feeling overwhelmed by where to start with complex data analysis? I will clearly guide you through how to utilize R and AI Tutors using the practical know-how I've built up.

This course is structured to provide systematic learning, from basic database concepts to practical SQL applications, based on the Oracle Database 11g environment. Through step-by-step hands-on practice, you will master core content essential for database practice, including SELECT statements for data retrieval, DML for data manipulation, DDL for data definition, and user privilege management. Furthermore, this course goes beyond simple video lectures by providing an LLM-based AI Tutor, designed to allow learners to study by asking questions and receiving answers on their own. By utilizing the AI Tutor, the following types of learning are possible: - SQL syntax explanations and example generation - Analysis and correction of SQL error causes - Automatic generation of practice problems - Q&A on database concepts - Customized review based on learning progress - Generation of expected questions for certifications and job interviews Therefore, this course is suitable not only for beginners new to databases but also for professionals and job seekers looking to strengthen their practical SQL skills.

Through a systematic curriculum of 40 lectures, you will learn everything from the basic theories of AI to the applied AI technologies of each algorithm. Through mathematical intuition and R coding algorithm learning and practice, you will develop immediately applicable AI model development capabilities, covering everything from designing algorithm models for data analysis, machine learning, and their application tools to selecting and utilizing them.

Practical Hadoop & Hive Big Data with LLM Hadoop Ecosystem with AI Tutor This course focuses on understanding the Hadoop Ecosystem, a core technology of the Big Data era, and provides hands-on learning on how to process large-scale data using Distributed Storage (HDFS), Distributed Processing (MapReduce), and Data Warehousing (Hive). The curriculum is designed to help you master the core technologies of big data processing step-by-step, from Hadoop's basic structure and operating principles to HDFS, YARN, MapReduce, and Hive. In particular, you will build practical skills applicable in the field by performing tasks ranging from setting up a virtual machine-based practice environment to actual data processing and analysis. Furthermore, this course goes beyond simple video lectures by providing a self-directed learning environment utilizing an LLM-based AI Tutor. Students can maximize their learning efficiency through the AI Tutor, which provides Q&A for Hadoop and Hive concepts, error troubleshooting, practice problem generation, HiveQL writing support, and project learning guides.

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.

Middle school students will use the AI-SPARS tool to systematically analyze their interests and strengths, and explore customized careers, majors, and elective courses. The program is practice-oriented, ranging from AI in-depth interviews to career roadmap design, ultimately resulting in the completion of a personalized career portfolio.

The best coding test lecture that helped students pass Naver, Kakao, and Samsung coding tests in just 10 weeks!

In the era of AI and Big Data, are you utilizing your organization's data effectively? This course builds essential capabilities for reading and interpreting data, covering everything from the foundations of statistical thinking to the core principles of machine learning and deep learning. Grow into a practical leader capable of discovering patterns amidst volatility and making data-driven decisions.

I have summarized the steps required to get a job as a front-end developer into 7 codes. I didn't have a senior developer, so I was vague when I was looking for a job, but don't worry anymore. 😀

"Just like the real thing! Master job interviews, coding competitions, and your skills all at once." Perfect preparation for corporate coding tests! Improve your skills from basic to intermediate! This course contains only the essentials necessary for coding test preparation. Structured step-by-step from basic concepts to practical problems, you can improve your programming skills and practical sense at the same time.

We will study AX (AI Transformation) strategies that go beyond simply utilizing AI tools to fundamentally redesign an organization's work processes and decision-making systems. We will analyze AI transformation cases from global companies across various industries, such as retail, finance, and healthcare, and establish actionable strategies and roadmaps applicable to our organization.

Developer interview taught directly by a senior software engineer who went through Naver and Amazon and is currently at Microsoft!! This lecture focuses on the "developer interview" rather than the "coding interview". When hiring a developer or, conversely, when changing jobs or seeking employment, the "coding interview" is never the only thing that determines success or failure. Through this lecture, I hope you will learn more about how to hire a developer or prepare for a change or seeking employment.

If you are worried about where to start and where to start studying because you need to take a SQL coding test to become a data analyst, then come to this seminar!

If you are preparing for a job change after 5 years or less, we will tell you all about career management methods along with successful cases of career branding that can increase your passing rate by more than 2 times with a strategy that differentiates you from others!

Let's perfectly prepare for the second coding test (implementation test) by solving 10 problems created with reference to front-end coding tests given by actual companies!

Practical English Guide for Software Engineering | Great IT English

Are you experiencing inefficiencies due to fragmented AI tools and manual tasks? I will maximize your productivity by building an integrated automation workflow using the know-how I have gained from hands-on experience.

Master Algorithm Problem Solving with 100 Essential Silver Level Problems from Baekjoon Online Judge

This is a practice-oriented course where you will directly automate repetitive tasks such as document writing, data analysis, and report creation using Claude Code. Through a systematic process of exploration, planning, implementation, and verification, you will design AI to handle various tasks like meeting minutes, Excel, and PPT, and learn how to build automation workflows even without coding. Beyond simply learning functions, you will acquire the practical design skills to identify your own repetitive tasks and transform them using AI.

This is a career guide course that covers the entire process of landing a developer job or switching careers, including resumes, portfolios, technical interviews, and behavioral interviews. The theory section outlines the process of finding the right company for you, analyzing job postings, and preparing for interviews and coding tests.

As your years of experience stack up, so do concerns about your 'work sense'. Now, the line between pro and amateur is just a hair's breadth. In this lecture, learn the new work sense required by the times, set a solid direction for your own career, and design the next stage of your growth!