Properly Learning Artificial Intelligence (AI) Projects Part.3

This course will help you learn JavaScript through theory and practice. It explains step by step so that even beginners can easily understand. Part 2 covers JavaScript functions and events, types of functions, and core libraries.

Learn the basics of V-Ray for SketchUp users and gain 3D rendering visualization skills for your design work.

This course is designed to prepare you for the Information Security Engineer written exam by concisely summarizing core theories and strengthening practical skills through problem-solving. Take a step closer to obtaining your Information Security Engineer certification with past exam analysis and practical preparation strategies.

This is a basic C++ course for those who are new to C++ programming. You will learn and practice how to utilize C++ along with an overview of programming and the basic grammar of C++.

This is a course where you can study data structures and algorithms along with the object-oriented language C++.

This course teaches you how to write safe and reliable code in the software development process. Rather than simply stopping at feature implementation, you'll learn programming principles and techniques that can prevent security vulnerabilities and ensure stability. Through hands-on practice and case studies, you can understand security threats that may occur in real development environments and acquire safe coding techniques such as coding rules, input validation, exception handling, and memory management to prevent them. By taking this course, developers will enhance the completeness of their code while gaining practical capabilities to develop software with security and reliability.

This is an assembler course provided by Smoothie TV.

This is a free Unity basics course by Unity Hub root owner Dong-geun Joo.

From building a database to creating tables, you can manipulate and change data within the database using various SQL queries.

This is an official Unity tutorial video translated by Jemin_Dev.

Python with easy and intuitive grammar! Learn Python, a renowned introductory programming language, from the basics to practice! In this course, you will learn GUI programming using tkinter.

We introduce good lectures based on the motto of TED(http://ted.com) ‘Ideas worth telling’.

I would like to introduce you to the Premier course by Nori Island on YouTube.

This course is an introductory course for beginners of Maya that will teach you the basic functions of Arnold Renderer version 5.0.1.2 included in Maya 2018.

Quickly learn the basic functions of SketchUp Pro 2019 and build basic 3D graphics.

Learn how office workers can effectively use Claude in their actual work, focusing on key business tools such as Excel, PowerPoint, business writing, and VBA automation. Through hands-on exercises in each chapter, you will learn how to reduce repetitive tasks and increase productivity.

This is a lecture where you can learn JavaScript through theory and practice. We explain step by step so that even those who are new to coding can easily understand. Part 1 covers an overview of JavaScript, variables, data types, operators, control statements, and the basics of jQuery.

This is a basic machine learning course that briefly covers the basic machine learning theory for those who are new to machine learning.

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.

Learn the basics of using AutoCAD and the basic functions for 2D CAD work.

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

Based on over 100 deep learning training sessions, this course systematically organizes the core foundational theories that students found most challenging. The course connects mathematical intuition, model learning principles, and code implementation step by step in a way that even non-majors can understand, deeply covering the fundamental structure and operating principles of how AI models learn, rather than just library usage. This is a practical introductory course designed to help you grow into a skilled engineer who understands AI principles by implementing core deep learning foundational technologies such as gradient descent, loss functions, optimization, perceptrons, multilayer neural networks, and backpropagation through both formulas and code.

The Master Guide to AI for Java Developers! This course shatters the prejudice that AI is the exclusive domain of Python and empowers your Java applications with AI-driven eyes, ears, voice, and even coding capabilities. Grow into an AI Architect based on the OpenAI API. You will directly develop various AI experts such as an AI writer, translator, artist, and coding companion. You will also build a multi-functional AI assistant that integrates core features including text summarization, sentiment analysis, image description, Java code generation, speech-to-text/text-to-speech conversion, and image/subtitle generation. This is a golden opportunity to maximize the competitiveness of existing Java systems by learning how to assign AI roles through system messages and even implement harmful content moderation.

You will understand the present and future of AI technology, experience the testing process of AI models such as machine learning, and learn the role of a tester. You will gain a broad range of knowledge, from establishing AI-based system testing strategies to designing and executing test cases, as well as utilizing AI for test support. This course is based on the ISTQB AI Testing syllabus and provides an opportunity to perfectly prepare for the ISTQB AI Testing certification exam.

You can enhance your development capabilities by deeply exploring the fundamental principles of large language models like ChatGPT and Claude. You will be able to learn a variety of information and development techniques that are not commonly encountered.

Understand core AI concepts through visual materials—no formulas or code required—and practice prompt writing and task-specific application patterns. Covering everything from machine learning to generative AI, this practical introductory course empowers non-majors to apply AI directly to their work in just 90 minutes.

No Coding Skills Required: Build Your Very First Service with Google Stitch An All-in-One AI Development Workflow That Seamlessly Connects Every Step from Planning to Deployment

Artificial Intelligence, AI, agents... They might seem grand, but once you try them, they're not as difficult as you think. That's why it's important to implement simple features yourself. Through practical projects that can actually be used at a company, you'll directly experience various use cases and learn how to utilize and apply AI agents.

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 :)

An introductory AI lecture tailored for those new to artificial intelligence! It easily summarizes core concepts from data to generative AI. The goal is not to build AI, but to achieve a level of practical understanding where you can ask the right questions and explain the technology.

This course is a hands-on masterclass that completely conquers the evolution of Diffusion Models through papers and code implementation. You'll learn the core models of generative AI, including DDPM (Denoising Diffusion Probabilistic Model) and DDIM, by studying the paper principles and implementing them directly. We analyze step-by-step the background of each model's emergence, mathematical formulations, network architectures (U-Net, VAE, Transformer), training processes (Noise Schedule, Denoising Step), and the ideas that led to performance improvements. Students will directly code all models using PyTorch, gaining not just paper comprehension but 'practical skills to reproduce and apply' them in real-world scenarios. Additionally, by comparing the differences between models and their developmental flow, you'll clearly understand how they expand and evolve. This course integrates theory, code, and practice into one comprehensive journey, providing researchers, developers, and creators alike with a systematic way to master the evolution of generative models. Beyond simply 'reading' papers, start your experience of 'understanding and recreating' through direct implementation now.

Through this lecture, you'll be able to learn about the AI graduate school admission process and preparation methods from start to finish! I'll also share some great tips to increase your chances of getting accepted!

We provide an easy understanding of the concepts and principles of generative AI from a humanities perspective, including literature, film, music, and history, while exploring the cultural impacts and life changes AI will bring. We offer practical insights and strategies on how individuals and companies should respond and prepare for the AI era.

Systematically learn the core concepts and operating principles of Imitation Learning and VLA (Vision-Language-Action) technologies, which serve as the foundation for Physical AI. Understand the mechanisms through which Physical AI interacts with the real world through actual case study analysis.

You can transform your ideas into beautiful presentations in just a few minutes. No more spending hours struggling with slide design. With GAMMA's AI technology, you can dramatically improve your content creation process.

"From the basics to 7 domain projects, completing the A to Z of deep learning (41 lectures in total)." Go beyond simply calling models and learn how to build clean, efficient deep learning pipelines using PyTorch Lightning, the current industry trend. Grow into a confident AI engineer capable of handling any data by directly implementing 7 projects, ranging from stock price prediction to generative AI, medical imaging, and sound analysis.

Create high-quality AI videos with Midjourney & Runway. Director Dong-ah Kim, who collaborated with Samsung, will personally guide you through the step-by-step process of AI video production based on a virtual brand.

Just say it, and AI will do it! From files and reports to emails. The Claude Cowork practical course for full automation without coding!

This is an introductory course where you learn the core concepts of Claude Code through a 3D office analogy. From hiring a single robot in an empty office, giving it a brain and a heart, equipping it with tools, permissions, and memory, to eventually having multiple robots work together as a team—each concept unfolds as an office scene. You will master every concept by interacting with the digital course materials and complete your learning through hands-on practice on your own computer.