AI 리터러시의 이해

Let's learn the basics of the Python programming language and acquire the Python coding skills necessary for artificial intelligence!

Let's understand the main algorithms of machine learning and deep learning, and learn about artificial intelligence!

ChatGPT, become a creator using generative AI!

Basic manners, etiquette, and communication skills education to foster global leaders leading the 4th industrial revolution era

Let's understand model algorithms for machine learning and deep learning by utilizing Keras!

Let's build a foundation for using Python and solve data analysis problems!

Are you a digital talent interested in the Internet of Things (IoT)? Get started with the Internet of Things through Arduino!

Let's manage projects efficiently and smartly through data science

Let's design, implement, and develop while learning the basic concepts of the C++ language and object-oriented concepts!

Let's learn machine learning techniques using Python, and improve our ability to extract actual data information and develop prediction models!

Java programming based on object-oriented concepts for computer science majors

Let's learn object-oriented concepts through Java programming and improve program design and problem-solving skills!

Let's develop basic field knowledge of clothing science and the capabilities of a fashion specialist through understanding AI-based textile CAD!

Experience developing applications collaboratively in a Linux shell & open source software environment, and build the development environment required for program coding!

Let's understand data analysis suitable for advanced retail business and learn how to utilize tools utilized in the industry!

Let's develop the skills to develop web applications using React and develop the capabilities to apply them in practice!

Let's learn various data structures and algorithms and develop the ability to implement them through programming!

Learn basic website building methods and gain practical application skills from the basics of web development through practical projects linked to public data Open API!

Let's understand and try policy evaluation with R and R Studio!

Let's understand data analysis methods using Python, analyze and visualize various types of data on our own, and organize an outline of our data story!

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.

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

You can benchmark manufacturing innovation plans for semiconductors and run machine learning and deep learning on semiconductor data without coding.

**"AI Philosophy - Ethics and Challenges in the Age of Artificial Intelligence"** is a topic that deals with the ethical and philosophical exploration of the development of artificial intelligence (AI) and its impact on human society and culture. This topic goes beyond simple technological development and delves into how AI affects human life and what ethical decisions we should make accordingly.

Let's analyze and visualize data and learn machine learning concepts using Orange 3!

AI is the trend, but can't I just pick out the information that's useful for my work? I've prepared a story that will give you various insights into AI from the perspectives of engineers, strategic planners, marketers, and executives.

Let's understand the main algorithms of machine learning and deep learning, and learn about artificial intelligence!

You can use AI tools to generate photos of people and turn them into speaking videos.

This is the third lecture in the [Python for AI] series. Learn how to debug Python code.

The "Pytorch Projects Explained in One Code" edition implements practical deep learning projects using image, video, and natural language data. It focuses on code-centered learning rather than theory, to understand the structure and flow of models.

As AI technology rapidly advances, the nature of existing jobs is changing and new opportunities are being created. Accordingly, not only technology-centered jobs such as data analysts, AI engineers, and cloud architects, but also hybrid jobs such as AI ethics experts, digital twin designers, and sentiment data analysts are attracting attention. In addition, creative job groups that utilize technology, such as EdTech experts, digital healthcare consultants, and virtual reality creators, are also emerging. As AI becomes a tool that assists and expands human work, talent with continuous learning ability and creative thinking will become a key factor in achieving success.

"Prepare for the future talent who will lead the AI era, right now!" Artificial intelligence (AI) has now become a core technology that brings innovation to our lives and industries. As various companies and institutions actively adopt AI technology, the demand for related jobs is rapidly increasing, which is also a great opportunity in the job market. However, many people feel at a loss about what and how to prepare to enter the AI field. The "AI Job Roadmap" e-learning course provides systematic and practical job strategies for job seekers, career changers, and non-majors who want to enter the AI field. It summarizes everything about the AI field, from basic concepts to practical projects and job preparation. Through this course, you can build a solid technical capacity in the AI field and complete your own powerful portfolio to grow into a key talent needed in the AI industry.

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.

We will learn the core technologies of the 4th industrial revolution, such as ICBM (IoT, Cloud, Big Data, ML) and related technologies such as self-driving cars and metaverse, from the basics to develop the ability to prepare for future technological changes.

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.

This is the fifth lecture in the [Python for AI] series. This lecture covers Python grammar along with practical exercises used in machine learning and deep learning.

Let's develop the ability to extract useful information from large amounts of data and support decision making!

This is a lecture that provides a lot of practice on the basic grammar of Python. This is a lecture that provides practical practice used in machine learning and deep learning along with the grammar of Python.

Time series lecture to become a data analysis expert! Let's become an analyst strong in theory and practice!

Create AI data analysis and modeling results into a web program.