Heart-pounding Artificial Intelligence - Concept Edition -

Have you ever been bothered by unfamiliar terms while working with developers? Increase the depth of your conversations by learning basic programming knowledge, programming history, and language-specific characteristics for conversations with developers!

Practical Essential Skills for AI Use, Prompt Engineering Learn key skills to boost work productivity and business competitiveness with accurate, proper prompts.

Python, if you want to write more efficient code? If you want to write more efficient code while implementing the same function, understanding data structures and algorithms in Python is essential. After taking a total of 8 hours of lectures consisting of theory and practice by a Python expert instructor, you will be able to create excellent results using Python.

Ideas you've only been thinking about—now AI will complete them with code. Learn the process of implementing ideas into code using Cursor AI and Claude Code. This is a practical AI coding introductory course where even non-majors can complete projects on their own.

In the AI era, the capabilities of planners are being newly redefined. For all planners who want to develop practical skills to integrate AI into existing services or plan completely innovative new services, this course provides concrete guidance on 'feasible methods and paths.'

You can become a presentation master by using AI well! Presentation skills are essential in the workplace and business. However, completing great planning, sophisticated design, and effective delivery requires a lot of time and effort. Through this process, presentation preparation will no longer be a burden but will transform into an enjoyable experience.

This course covers the importance of information security and personal data protection, providing systematic learning from essential knowledge needed in practice to the latest security issues. Based on the practical experience and expertise of personal data protection specialist instructor Jo Ah-young, it provides realistic education with a sense of field experience.

Just make it do it. n8n does the work - Practical workflows to save 1 hour a day with automation tools Get AI tool utilization + prompt engineering + practical automation sense all at once.

AI is now a common challenge that all generations face. This course explores ways to transform AI into a language of communication and collaboration, transcending the differences in perspective between XYZ generations.

Even if you don't know coding, you can read data—everything about no-code AI analysis that makes work sense explode! From marketing to HR and quality management—we'll make your work sense explode with AI.

Even if you don't know coding, you can read data - everything about no-code AI analysis that makes perfect sense! If you can use Excel, PPT, and Google Sheets, AI will now handle data analysis for you.

Diagnose the future of my work and learn how to grow together with AI What we need now is the power to read the future of my work! In the midst of industrial restructuring and technological transformation trends, we'll specifically tell you from a job function perspective what changes are coming to your work now and how you can prepare for them.

Excel, coding, app development—anyone can start easily with AI. Learn from Excel automation to Python basics and app creation through hands-on practice using generative AI tools like ChatGPT and Perplexity.

HIPS : Human Intelligence Problem Solving, Although AI seems to replace everything, the ability to reframe complex problems and gain insight is uniquely human. We present methods for proactively utilizing AI and exercising uniquely human problem-solving capabilities.

Customized One-on-One Python Coding Tutoring from ChatGPT! Develop your ability to read and write code, your coding literacy skills!

Generative AI: Practical Skills for Work Smarts! Work automation, security & ethics — all covered.

AI Era! Creative content creation is a competitive edge for office workers. Contents Create Skill directly usable in the workplace, taught by a 10-year veteran office worker.

An easy-to-understand lecture by the author of [AI Leadership], a management scholar with a background in program development and a creative organization HR expert

This course is based on the book “Humanities Stolen by AI” and reexamines the role and existence of humans in the era of artificial intelligence, while deeply exploring the relationship between artificial intelligence and humans.

Reorganizing the order of work to increase work efficiency in limited working hours In an era where productivity must be increased to match the reduced working hours, we will help you improve individual work capabilities and overall organizational performance by reorganizing the order of work.

Artificial intelligence, don't you want to try making one too? Haven't you ever wondered how many artificial intelligence products in our reality, such as self-driving cars, chatbots, and AI speakers, work and how they can be made? If you follow along with no-code and low-code, you can easily make artificial intelligence.

This course provides essential knowledge needed to understand the structure and operating principles of various artificial neural networks and create good models.

If you want to be recognized as a machine learning expert based on large-scale data, from understanding the core framework of Spark machine learning, to SQL-based data processing through difficult practical problems, to data analysis through business domain analysis, and to the ability to implement optimized machine learning models, please join this course.

From core theories of deep learning and CNN to various CNN model implementation methods, and practical deep learning development know-how through real-world problems, If you want to become a deep learning CNN technology expert based on Pytorch, join us in this lecture :)

Essential certification for the AI era, MS AI-900! 🚀 Did you know? ChatGPT operates exclusively on Microsoft Azure! If you want to properly utilize Microsoft Azure OpenAI, which exclusively provides the latest GPT models, now is the perfect opportunity. Grow into an Azure AI services expert through the AI-900 course and master enterprise-grade AI solutions that companies trust. Secure global official certification and enhance your competitiveness as a true AI professional!

The PyTorch_Project Edition, understood instantly with code, implements practical deep learning projects using image, video, and NLP data, understanding model structure and flow through code-centric learning over theory.

This is a comprehensive machine learning project course that learns various useful machine learning regression and classification projects along with theory using Python and TensorFlow 2 based on Boston Marathon big data.

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.

Understand the basic concepts and latest trends of big data, and through technical understanding of big data analysis techniques, extract data patterns to present methods for business application. Through big data, you can create new businesses and develop insights into future business environments.

This course is a comprehensive program that covers everything you need to know to utilize generative AI in practical work settings, from the basic principles of LLM (Large Language Models) to RAG (Retrieval-Augmented Generation), and even the latest technologies like AI Agent and MCP (Modular Command Protocol). It is structured to naturally teach you how generative AI understands, searches, judges information, and extends into AI Agents that take action, following the flow of technological development.

You can create a deep learning analysis environment in the cloud using Docker. When Docker images managed by Google, MS, etc. are combined with the cloud, you can work with the latest deep learning analysis methods on your computer.

This course explains the basic concepts of LLM and GPT in an easy-to-understand way for everyone. Students can directly use the GPT API to create chatbots and run them on the web using Streamlit. By experiencing everything from basics to hands-on practice, you can solidly establish your first steps in AI utilization.

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.

This course starts with the question "If I had been on the Titanic, could I have survived?" and completes a full-stack project that develops an AI model to predict survival probability based on actual data and serves it as a web service. You'll practice the entire process of AI and web development, from deep learning modeling using PyTorch, building a backend server with FastAPI, to implementing a user interface with Next.js.

Let's implement a deep learning framework directly with Excel! Let's solve supervised learning/unsupervised learning/reinforcement learning with the implemented framework!

This course covers everything from the basics to hands-on practice of AI platforms, and is a program where you can learn AI image generation technology. Learners can understand the fundamental concepts of AI and develop the ability to generate AI images using various tools and technologies. Through this course, you can enhance your understanding of the AI field and learn how to directly generate AI images in real-world applications.

This course is an introductory program designed so that learners who are new to AI technology can easily understand and follow along. Through the lectures, you will learn the basic concepts and usage methods of AI platforms, and conduct hands-on practice directly generating images using various AI tools. Upon completing this course, you will become much closer to AI and acquire the capability to create AI images that can visually implement creative ideas.

The automotive and parts manufacturing industry is a field where innovation is essential amid fierce global competition and complex supply chains. This course focuses on how AI technology can be applied in the field, explaining actual cases including production efficiency improvement, quality inspection automation, equipment predictive maintenance, and supply chain optimization. From the foundational understanding needed for AI implementation to strategies and risk management considerations for field application, this course covers topics step by step, providing knowledge and insights that practitioners and managers can immediately utilize.

Through this course, students will learn various reinforcement learning theories and implement them themselves, as well as create a reinforcement learning environment to test the reinforcement learning algorithm implemented using Unity Machine Learning Agents.

This course is a hands-on masterclass that completely dissects the core technological evolution of generative AI, from LDM (Latent Diffusion Model) to DiT (Diffusion Transformer). We directly analyze the latent space-based learning principles of LDM, the structure of Stable Diffusion, and the implementation methods of the latest Diffusion Transformer through papers and code. Students will systematically learn the latest trends and structural evolution of generative models by directly implementing LDM, CFG (Classifier-Free Guidance), and DiT models using PyTorch.