Trí tuệ nhân tạo (AI) - Học cách tạo nhạc (sáng tác) bằng trí tuệ nhân tạo với Soundraw ai

This is a lecture to prepare for the Information Processing Engineer practical subject certification, and you can acquire basic knowledge to understand the development requirements of information systems, etc. (Second Part)

This is a lecture to prepare for the Information Processing Engineer practical subject certification, and you can acquire basic knowledge to understand the development requirements of information systems, etc. (Part 1)

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.

Python with easy and intuitive grammar! Learn Python, a renowned introductory programming language, from the basics to practice! In this lecture, you will learn Python functions and lists.

Learn the latest features of InDesign CC.

This course is designed to learn the JavaScript programming language along with the latest ES6 grammar.

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.

Django is a Python-based web application framework. In Part 1, you will learn about Django and create web applications.

In this course, you will learn how to use basic commands for 2D drawings in AutoCAD 2022.

You can learn the main functions of Zbrush 2020 and increase its practical usability by practicing examples.

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 is an introductory course that teaches the most basic video editing, focusing on the basic editing functions of Davinci Resolve. (Part 3/3)

It contains only the essentials required to obtain the SQLD certification. This is a learning process that will help you acquire the SQLD certification by solving various examples directly, starting from setting up the development environment and building your skills.

1. Learn the main functions of Excel so you can create documents easily and quickly. 2. Learn tips commonly used in practice.

"This is a course for learning the overall usage of Notion, an all-in-one productivity tool that enables efficient management of work and life in a Mac environment. You can learn step-by-step from Notion's basic functions to databases, automation, AI utilization, and practical template creation, acquiring work and self-management methods optimized for Mac users. Through a hands-on curriculum, you can increase productivity in both daily life and work."

Learn various know-hows that will help you get the most out of Excel in your real work.

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.

In Part 3 of the course, we will learn about Tracking-related functions, 3D layers, Keying, and Effects. We will learn the basic methods of tracking and stabilizing real-life scenes using functions such as Warp Stabilizer, Track motion, and 3D Tracker, and we will also organize the basic methods using the 3D layer structure. We will also learn effects such as Shatter, Particle, and RainFall, and finally proceed to the output work using Adobe Media Encoder.

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

This is a series of video lectures for AWS beginners and college students enrolled in AWS Educate. We will briefly introduce the AWS registration process and free tier services.

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 a hands-on program that covers everything from the basics of understanding and utilizing AI platforms to AI image generation technology. Learners can master the fundamental concepts and tools of AI and develop the ability to generate AI images using these skills. The course is designed to be easily accessible even for learners who are new to AI technology, providing an opportunity to quickly master AI image generation techniques that can be applied in real life.

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.

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 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.

AI Era: Opportunities and Mindset for Knowledge Entrepreneurship Made Easy with Writing and Media Creation (Prompt Engineering, Gemini, Kling) No coding knowledge or AI experience required! All you need is your own experience and ideas. Learn practical methods to combine your professional expertise with AI tools to create digital content. Based on this foundation, you can create your own content and get significant help with various digital businesses you've wanted to try.

This lecture is designed to give you a general understanding of AI without overwhelming you with difficult topics like mathematical formulas. It's perfect for learning with a light and easy mindset.

ChatGPT, become a creator using generative AI!

Are your colleagues already working with ChatGPT, yet you're doing it all manually? Don't worry! Take this course, and you'll be an AI master too.

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.

Generative AI for Designers🧙‍♂️ We reveal practical know-how to maximize design work efficiency with generative AI like Canva and Midjourney.

No more lectures that start with boring grammar! Python practical application examples that jump straight into use

Explains the basic principles of large language models like ChatGPT, focusing on 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.

What if you could do difficult PR planning and design courses all at once? Even complete novices can finish content like a pro with AI!

For beginners who are new to Midjourney, we'll show you how to combine and utilize the tool's various features in real-world practice. Beyond simply creating images, we'll go through each function one by one within actual workflows, explaining which features to use and why to achieve the styles and results you want. This course specifically covers omni-reference composition, image prompt utilization, prompt modification and restructuring, and methods for improving image aesthetics through Stylize (S-value) control. Rather than just learning the tool, this course is recommended for those who want to systematically master Midjourney usage so they can apply it immediately in professional work. Through step-by-step practice, this is a course where you can personally experience 'why prompts are written that way.'

From the basics of machine learning & deep learning! Creating and utilizing classification/regression/clustering/artificial neural networks with Python

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

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

Using block coding Entry, foster computational thinking and problem-solving skills, and through Entry AI tools, learn artificial intelligence concepts and practice simple machine learning.