GPU Principles and Computer Science (CS) Knowledge You Need to Know in the Age of AI Coding

🔥Don’t have time to complete the 32-hour all-in-one course? We’ve condensed the four subjects of the Big Data Analysis Engineer written exam into around 4 hours. Connect concepts directly to actual exam questions through modified past exam questions, and receive 150 pages of lecture materials plus 13 pages of final review notes for the exam room.

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.

You can learn about Text-to-SQL systems that generate and query SQL statements in real time in response to user questions.

"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.

The real story of an AI-native company run by GolbinHacker, the 1st place winner of Kakao AI TOP 100 and author of the bestseller "The Best Prompt Engineering Lecture." It explores how just two developers build and operate a service, along with the new competencies developers and organizations need in the AI era through real-world cases.

Recommended for these students! Frozen~! Coco! I watched it too~ But how was it made? I want to major in animation too, but is this really what I want to do? Can I learn everything once I enter a university program? What should I prepare for employment? Should I just watch a lot of animations? That animation looks like it has a different style - I want to know how it's produced AI has advanced too, can't I make it on my own? I want to get a job at an animation company - any tips? In this class, you'll learn: ✔ Animation genres, fields, concepts, and all the production processes needed for creation! ✔ What are the actual working departments in animation companies? Which departments play what roles as the gears turn in the production process? ✔ Concepts, production, management, and even hands-on practice! Once you complete all of this, you'll become an animation master who understands the concepts even better than animation majors!

We explore how to create an AI judge by combining knowledge graphs, reasoning systems, and various agent frameworks such as CrewAI, LangChain, and AutoGen, which enable the implementation of LLM-based multi-agent technology.

Learn how to turn a vague idea into a "completable work." The reason you fail to finish writing on your own is not a lack of talent, but a lack of planning, structure, genre, and scene-level design. Based on my Master of Fine Arts (MFA) in Screenwriting, over 10 years of writing experience, and the achievement of winning two awards with a single work, I will organize professional-standard writing techniques step-by-step online. In this main lecture, "Chapter 1: Film Planning," we will cover everything from planning methodologies to writing loglines and statements of intent, while also learning prompt engineering to utilize AI as a planning and assistant writer. Ultimately, you will work with the instructor to complete a one-sentence logline for the project you wish to write. The course proceeds with the perspective that the writer's judgment and design are what matter most, while AI is simply a tool that makes that process more efficient. The full curriculum for [Film and Drama Storytelling in the AI Era: Story Design for Creating Works and Careers] follows a 5-chapter roadmap: Film Planning → Structure → Plot & Character → Genre → Scene & Adaptation. By following each step, you can eventually expand your work into a full-length feature film screenplay (or a series proposal + scripts for episodes 1-2, depending on your goal). (Note: This course is sold individually by chapter.)

"The deep learning code runs, but why do the formulas in papers look so unfamiliar?" As you study AI, you eventually hit a wall of mathematical formulas. If you trace the source of that wall, it usually leads back to not having a solid foundation in the most basic mathematical language. Starting with the language of sets, this course covers core concepts across 18 lectures, including equations, functions, sequences, exponents/logarithms, and trigonometric functions. We don't make you memorize formulas. While we briefly touch upon how these connect to the context of AI, the primary goal of this course is one thing — to build an unshakable foundation for when you later learn linear algebra, calculus, and probability/statistics. As the first part of the Suminjeongeum series, this course will provide you with the common language needed to properly digest the remaining three parts.

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.

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.

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.

Do you want to make substantial profits even in a bear market? Are you interested in automated trading but unable to get started because of coding, trading strategy design, exchange APIs, and server deployment? In this course, even those new to Python will learn how to use ChatGPT and Codex to turn trading ideas into concrete strategies and implement them through backtesting and live automated trading code. You will practice Binance futures automated trading using Python and CCXT, technical indicator strategies, averaging-down backtests, and a Kimchi Premium strategy based on the Upbit API. You will then apply Telegram notifications and order safety features, manage the completed bot with GitHub, and deploy it to a cloud server. Rather than entrusting all investment decisions to an LLM, you will determine the strategy and risk management criteria yourself, using the LLM as an assistant for strategy design, code writing, and troubleshooting. After completing the course, you will be able to do more than simply run the provided code—you will be able to create, validate, modify, and deploy your own strategies!

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.

■ Course Overview Are you interested in 3D video production but feel it might be too difficult? Or do you want to create unique videos that stand out from the crowd? With CreateStudio3, you can easily create professional 3D animated videos without any coding. In this course, you will learn the basics of video production through step-by-step explanations that are easy for even beginners to understand. Through this course, you will master the basic operations of CreateStudio3 in a short period and become able to create your own original 3D animated videos. ■ What You Will Achieve By taking this course, you will be able to: - Experience and internalize the basic operations of CreateStudio3 through hands-on practice. - Create unique 3D animated videos. - Create highly flexible scenes by moving viewpoints and angles. - Achieve marketing and promotional results using video. - Acquire simple video production skills. ■ Who This Course Is For - Those who tried complex software like Blender but gave up. - Those who feel paid tools like VYOND are too expensive. - Those who want to create videos easily without coding. - Those who want to share unique 3D videos on social media or YouTube. - Those who want to publish videos without showing their face. ■ Required Tools and Costs - A computer *The instructor uses a Mac, but Windows is also supported. - Purchase of CreateStudio3 is required. (Detailed instructions on how to purchase it at a great price will be explained within the course.) Take this opportunity to master CreateStudio and start creating professional 3D animated videos. This experience is sure to be a major plus for your career. The main contents of this course are as follows: - Basic operations of CreateStudio3 - Basic techniques for 3D animation - Creating character animations - How to use effects - Scene settings and video updates - How to move the viewpoint - Video exporting and specific output methods I look forward to seeing you in the course. Hiroshi Wada

What if AI could directly open a browser and write shell scripts to resolve server issues? Through practical automation know-how implemented with OpenClaw across Windows and Linux, we guide you on the shortest path to completing your own powerful remote development environment without complex configurations.

This is an introductory lecture designed to help you understand the core concepts of non-invasive EEG-based Brain-Machine Interfaces (BMI) and the process of Motor Imagery-based signal processing. It provides an easy-to-follow explanation of the entire workflow, from the basic principles of EEG signals to Motor Imagery experiments, data processing, and how actual BMI systems operate.

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.

The 0s and 1s we talk about, HIGH and LOW, logic gates and flip-flops— they all emerge from the physical event of analog signals crossing a threshold. If so, wouldn't understanding the world before logic— the movements created by current and voltage— be the true beginning of circuit design? This course takes that first step together.

For those of you who have completed intermediate SwiftUI, it is now time to integrate AI into your apps. Complete an on-device AI app that runs locally without an internet connection using Apple Intelligence and the FoundationModels framework.