5. [Advanced] Next-Generation Unreal C++ Development Using AI Tools

Let's create games in various genres, from VR to PC games, using Unreal Engine 5!

The 2025 Unreal Authorized Instructor – C++ Sparta Class is a free course designed to help even complete beginners with no prior programming knowledge get started easily. Rather than focusing on complex theories or difficult mathematics, it guides you to naturally master the core concepts of C++ through the experience of writing and running code yourself. By the end of the course, you will gain the confidence to write simple programs on your own.

This course is a coding test preparation lecture for entry-level job seekers preparing for employment at game companies.

A practical Unreal Engine development course where you directly implement everything from AI and vehicles to traffic systems.

We aim to upgrade your projects with the latest beneficial features of Unreal Engine.

The semiconductor industry is a representative manufacturing sector where production facilities, control systems, partners, and data are closely interconnected. For this reason, even a small security incident or system failure can lead to production shutdowns, quality issues, delivery delays, and technology leaks. This lecture explains the OT security threats that can occur at semiconductor manufacturing sites in a way that even beginners can easily understand. Rather than focusing on complex technical explanations, it centers on what security problems can arise in the actual field, why the semiconductor industry is a target for attacks, and how security incidents impact companies. Furthermore, it examines how security threats are evolving as manufacturing environments become more intelligent with the spread of AI and smart factories.

We will examine the major OT security threats that can occur at production sites in the food and pharmaceutical industries, focusing on real-world cases. You will understand what security issues can arise in smart factories, production facilities, quality control systems, and traceability management processes, and learn basic response methods to prevent production shutdowns and data falsification in a way that is easy for beginners to follow.

"Throw away the cliché AI theories and chatbot examples scattered all over YouTube. This is Korea's one and only '7 Major Industry Integrated Manufacturing AI Bible' that understands the language of manufacturing and pierces through the essence of the process." Hello, I am Byte Detective, your knowledge sharer. Currently, countless companies and practitioners are calling for 'Manufacturing DX (Digital Transformation)' and 'AI Adoption.' However, the majority of courses on the market are limited to vague theories from IT developers or consultants who have no understanding of the harsh practical realities of the manufacturing field. This course is not a lecture for the sake of theory. By organically combining the actual domain knowledge of Korea's top 7 representative manufacturing industries with the latest AI frameworks, it provides a 'Practical Manufacturing DX Scenario Architecture' that can be applied to the field starting tomorrow.

This special lecture concurrently prepares for Microsoft AI-900 certification, featuring the latest content reflecting May 2025 exam scope, combining theory and practice, including AI overview, machine learning basics, computer vision, natural language processing, document intelligence, knowledge mining, and generative AI.

As the digital transformation of the manufacturing industry accelerates, production facilities, control systems, and industrial networks are becoming increasingly connected to external systems. Along with this, the possibility of cyberattacks leading to production shutdowns, quality degradation, technology leaks, and safety accidents is also growing. The [OT (Manufacturing) Security] Master Class for 4 Major Manufacturing Industries is a course that examines OT security threats that can occur in the automotive, semiconductor, chemical, and food/pharmaceutical industries, focusing on real-world manufacturing site cases. Participants will understand how production processes and facility environments differ across each industry and systematically learn about key security threats, causes of accidents, and response strategies specific to each sector. The course covers a wide range of topics in a single program, including smart factory and supply chain security in the automotive industry, protection of core processes and technical information in the semiconductor industry, control systems and safety accident response in the chemical industry, and quality, hygiene, and GMP data protection in the food and pharmaceutical industries. Rather than simply listing complex technologies or attack techniques, the course explains "what problems can occur," "why they occur," and "how to respond on-site" in a way that is easy for even beginners to understand. Through this lecture, you can compare the characteristics of the four major manufacturing industries and the differences in OT security, and learn the basic direction of security inspections and accident response required at manufacturing sites.

Unreal has a lot to learn, but if you get used to it, you can create a movie-like game. This course is recommended for those who have already studied C# or C++. After that, we will share the Native C++ course for free to make it more accessible.

The AWS Certified AI Practitioner practice exam course is a core summary program designed to help you pass the certification. First, you will quickly review the basic concepts of AI/ML and Generative AI, and learn the features and use cases of key AWS AI services that frequently appear on the exam (e.g., SageMaker, Rekognition, Polly, etc.). Based on this, you will practice determining which AI solutions are suitable for various real-world scenarios, while also covering topics related to the responsible use of AI models and data security. Finally, you will learn problem-solving strategies for each type of exam question and prepare for the actual test through mock exams. This course allows you to prepare for the exam efficiently in a short period of time.

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

This video shows effective ways to link internal company data to sLM, and practical solutions for various issues from sLM adoption.

This is a course where you will learn the structure of the Lyra project provided by UE5 step-by-step by recreating its core components.

■ Course Overview Are you facing any of these challenges? - Spending too much time creating presentation materials, leaving no time for other tasks. - Feeling uncomfortable with design work in PowerPoint or Canva. - Wanting to create easy-to-understand slides but lacking confidence in structure and visual presentation. - Interested in AI tools (e.g., Gamma or felo) but unsure which one to use or how to use it. - Wanting to create high-quality presentation materials that convince clients or supervisors in a short amount of time. This course is for you. In this course, you will learn how to use the AI presentation tool "irusiru" to create high-quality, easy-to-understand slide decks in a short time. We will compare it with tools like Gamma and felo, highlighting irusiru's unique strengths and the specific scenarios where it excels. Reduce the time spent worrying about design and simultaneously improve your work efficiency and persuasive power. The main contents of the course are as follows: - What is irusiru? Basic functions and differences from other tools. - How to design the optimal slide structure based on your objective. - Steps and practical tips for creating materials using AI. - Practical Session: How to create presentation materials using irusiru. ■ What You Will Achieve By taking this course, you will: - Significantly reduce creation time by utilizing AI-powered automatic slide generation. - Be able to create high-quality slide materials in a short time using irusiru. - Understand the differences between irusiru and other tools like Gamma or felo, and be able to choose the best tool for your purpose. - Reduce the burden of creating presentation materials and improve overall productivity. ■ Who This Course Is For - Business professionals struggling with the excessive time it takes to create presentation materials. - Non-designers who are not comfortable with design work. - Business professionals looking to streamline daily tasks using AI tools. - Side-hustlers and freelancers wanting to improve the efficiency of creating client materials. ■ Requirements - Basic computer skills and internet literacy. - Ability to use a web browser and perform Google account logins. - While experience creating courses on Udemy will help with understanding, beginners are more than welcome. I look forward to seeing you in the course! Hiroshi Wada

We will teach you about AI, especially Generative AI like ChatGPT, by learning about it from various angles and showing you how to use AI tools that can be applied in practice. It consists of content such as marketing planning utilizing Generative AI, and an introduction to and utilization of Generative AI tools helpful for marketing content development (ChatGPT, image Generative AI).

AI is no longer a tool exclusive to developers or experts. The gap between "those who use AI" and "those who don't" is already widening across all roles—from students and job seekers to office workers, planners, and developers. This course is a practical survival guide focused on: ✔️ How to use AI as a tool to explode your productivity, not as a replacement technology ✔️ Prompts you can immediately apply to work, studies, job hunting, planning, and development ✔️ The mindset that turns someone who says "I tried AI, but it wasn't that great" into an AI expert Rather than just explaining features, I will show you: 👉 What kind of people survive in the AI era 👉 Exactly how those people use AI in practice Based on my own experiences and real-world examples.

"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.

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.

3 projects that compress 20 carefully selected concepts will build 80% of your n8n skills.

This course covers how to leverage AI in the food and pharmaceutical manufacturing industry to enhance productivity and quality. Through real-world case studies, you'll learn how AI is applied in key stages such as raw material management, production processes, quality inspection, and regulatory compliance, while understanding defect rate reduction and efficient operational strategies. Through this course, learners will master ▲characteristics of the food and pharmaceutical industry and the necessity of AI adoption ▲data-driven quality management ▲predictive maintenance and equipment optimization ▲regulatory compliance monitoring and risk management ▲analysis of domestic and international implementation cases, gaining strategies and insights that can be immediately applied in the field.

Do you want to generate significant profits even in a bear market? Are you interested in automated trading but haven't been able to start because of coding, trading strategy design, exchange APIs, or server deployment? In this course, we guide even those new to Python to turn trading ideas into concrete strategies using ChatGPT and Codex, and implement them into backtesting and live automated trading code. We will practice Binance Futures automated trading using Python and CCXT, technical indicator strategies, DCA (dollar-cost averaging) backtesting, and Upbit API-based Kimchi Premium strategies. Afterward, we will apply Telegram notifications and order safety features, manage the completed bot with GitHub, and deploy it to a cloud server. Rather than leaving all investment decisions to the LLM, humans will determine the strategies and risk management criteria, while using the LLM as an assistant to help with strategy design, coding, and troubleshooting. After completing the course, you won't just be running the provided code—you will be able to create, verify, modify, and deploy your own unique strategies!

Customer analysis completed with Excel and Orange, from cross-selling to A/B testing and churn risk management all at once

In an era of explosive data growth and crucial real-time processing, edge computing has established itself as an essential technology, no longer an option. This course is designed to systematically teach everything, from the core concepts of edge computing to deployment strategies for its application in real business environments. Through this course, students will firmly solidify the fundamental principles of edge computing and acquire practical knowledge and know-how applicable to real-world tasks and projects. Take the most certain first step towards becoming an edge computing expert, a core technology in the future IT environment!