(Using Raspberry Pi) Building an AI Artificial Intelligence Autonomous Driving Car

This course is an advanced program that provides in-depth coverage of C# multithreading and asynchronous programming, systematically designed to help you learn concurrency handling techniques frequently used in real-world applications. First, you'll understand the basic concepts of threads and practice creating and managing threads, learning to precisely control thread states and behaviors through various thread methods, ThreadState enumeration, and Flags properties. Next, you'll practice the differences and use cases between **Interrupt() and Abort()**, and learn how to reliably implement thread synchronization using **lock keywords and Monitor class (Enter, Exit, Wait, Pulse)**. Additionally, you'll cover asynchronous programming techniques essential in modern development environments, practicing parallel programming using Task and Task<TResult> classes, and the Parallel class. Finally, through async/await keywords, you'll understand the differences between synchronous and asynchronous code and gain experience applying more efficient asynchronous processing methods to projects. Through this course, learners will acquire the ability to develop high-performance applications using multithreading and asynchronous programming, and gain confidence in solving concurrency issues and implementing efficient programs in real-world scenarios.

This is a lecture on the application of Revit (Autodesk Revit) for implementing BIM (Building Information Modeling).

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.

This is a Photoshop course for beginners that will teach you the most basic and important functions of the graphic editing tool Photoshop.

Through this course, learners can acquire the ability to obtain a computer proficiency certificate. This course is designed to meet the examination criteria for obtaining a computer proficiency certificate. You can learn and utilize basic knowledge of the computer proficiency subject to prepare for obtaining the certificate.

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

You can learn the basic functions needed for 3D effects and motion graphics work in the Maya 2020 version. (Part 2)

This course is a step-by-step learning program that covers network programming from fundamentals to hands-on practice. First, we examine the origins and development of the Internet to understand how today's network environment was formed. Next, we learn the structure and operating principles of the TCP/IP protocol, which is the core of networking, to build a theoretical foundation. In the practical stage, we implement actual network communication using the Socket class, TcpListener, and TcpClient classes provided by C#, and experience client-server architecture. Through this, you can understand the actual data transmission and reception process and network connection procedures beyond simple theory. Finally, we visually implement network programs by creating user interfaces (UI) using WinForm. We practice enabling connection, message transmission, and reception through button clicks, developing the ability to create network application programs that can be utilized in real-world environments.

This is a course to learn in various languages how to call various open data provided by the public data portal from various programming languages and how to use JSON data provided as a result of the call.

Notion's powerful and convenient database features allow even beginners to easily build a DB. In this course, you will learn about database concepts and related terms (tables, rows, columns, etc.), as well as the basic usage of the Notion database.

This is a test preparation course to obtain the MOS Excel 2016 Expert certification.

Run effective advertising with Google AdWords

This is an assembler course provided by Smoothie TV.

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 focuses on developing practical visualization skills that can be immediately applied in the workplace by utilizing Seaborn, a core tool for data visualization, and plotly/Dash for building interactive dashboards. Through various hands-on exercises, you can enhance both your ability to create insight-driven visual materials and implement web-based dashboards.

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

This course is a practical beginner's course where you'll directly create various videos such as talking avatars, AI dance, and fairy tale animations using AI tools like HeyGen, Viggle, Runway, and more.

When you want to try using Figma, a UI design authoring tool, or when you want to create something with Figma, you'll practice the most basic usage methods.

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.

I'll explain what embedded development is. I'll clearly explain the concept without vague or abstract descriptions.

This course will help you understand the value of IoT and how it changes our lives and society. You will learn the basics of IoT device programming, IoT device connection technology, big data analysis, and automation. You will understand digital transformation and its impact on businesses and society.

Leverage Python to learn machine learning techniques, improving real data information extraction and prediction model development skills!

Deep learning is a technology that learns data through neural networks composed of combinations of complex functions. In this lecture, we will mathematically understand the core concepts of deep learning and analyze them from the perspective of matrix operations. In particular, utilizing Python's NumPy library, we will visually examine how parameters are updated by directly implementing the forward and backward propagation processes of deep learning. Even the seemingly complex neural network structure becomes clear when analyzed with matrix operations. This lecture focuses more on understanding concepts than coding and is suitable for students who wish to intuitively grasp the principles of deep learning mathematically.

This course covers everything from core recommendation system algorithms to practical implementation. - Content-based filtering - Collaborative filtering and deep learning-based recommendation model implementation - Two-step recommender systems implementation - Hands-on practice using PyTorch/RecBole - Industry know-how and recommendation result visualization

QML is a programming interpreter language for creating UIs provided by Qt. It is similar to JSON and can use JavaScript. Using QML and Python together, you can easily develop modern, advanced UIs.

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.

Why this course is special: Key Advantages • Intuitive Visualization: Directly observe algorithm operations in real-time with Pygame 2D simulations • Practical Implementation Experience: Go beyond theory and internalize autonomous driving algorithms by coding directly • Master Core Algorithms: Focused learning of essential algorithms such as Dijkstra, Pure Pursuit, ICP, etc. • Step-by-step Advanced Learning: Systematic difficulty progression from basics to SLAM • Lidar-based SLAM: Practical map building and localization in unknown environments

Now I can analyze the Linux kernel too! The easiest kernel lecture among Linux kernel lectures.

You can understand the theoretical operation principle of the Kalman Filter through easy examples.

If you're planning to learn Python, pay attention to this course!!! It's completely free~ I highly recommend it for preliminary learning before taking formal courses or starting personal study.

- I am a Research Engineer/AI PM running a 4-year-old AI startup. - This video is a lecture for those who want to start studying artificial intelligence "now" or in "2026". - Looking at college students, I see many who have no idea how to get started with artificial intelligence. - I hope that after watching this lecture, you'll be able to start studying artificial intelligence. - For reference, this lecture is not about "using AI in my work" or "getting started with monetization methods using GPT". - This is a video about how students, graduate students, or developers can get started when they want to study artificial intelligence.

This is a practical course on 'AI-based circuit design/verification automation' required by 'Samsung Electronics and SK Hynix field engineers'. Complete your skills in TSMC 180nm PDK-based LDO IP design/verification automation + AI-based AXI-Lite RTL implementation + Python/TCL/Batch Script Regression automation.