Complete Analysis of the Solar Open 2 Architecture

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.

Learn the core features of Google Workspace Gemini that you can use immediately in your work—not AI coding or agent development—in just 3 hours. Without complicated hands-on exercises, you’ll gain a broad but shallow understanding of AI-powered workflow automation and productivity improvement through easy, image-based explanations.

We will explore the types of applications and web services that can be built using LLMs.

This course is ideal for those who want to focus on theory and context rather than practice, aiming to organize their knowledge of deep learning in depth and grasp the big picture. It makes the mathematical and statistical foundations of deep learning easy to understand and provides intuitive interpretations of key modern models—such as AutoEncoder, GAN, Transformer, and AlphaGo—from a developer's perspective.

How long will you keep struggling with repetitive daily research and document writing? I, too, was an ordinary office worker who worked overtime every day trying to find key insights amidst an overflow of information. However, after integrating Gemini 3 into my workflow, I experienced a significant increase in work speed. Boost your productivity by utilizing Gemini in your tasks.

This course covers the basics of using SearchGPT, OpenAI’s AI-powered search tool, as well as its various features and applications. You will learn how to use and apply its text-based functions through prompt input.

Using AI has become easier, but model cards and papers are still difficult to read, even just a few lines. Although you can look up the meanings of individual words, it’s not clear how those words connect to one another. This course builds up around 160 essential terms that frequently appear in AI documents, in the easiest order to understand them, so that in each lesson you can accurately read a single sentence from an actual document.

Your AI is no longer in the cloud. It runs directly on your laptop. Learn how to build a completely local Private AI environment using LM Studio and Ollama—for everything from data processing and document analysis to code generation. With no security concerns, no costs, and greater speed— move from simply “using” AI to “putting it to work” yourself.

ChatGPT, which used to only answer questions, now works directly on my computer. I give it instructions in Korean without typing a single line of code and receive the results as files. This six-part series, including the orientation, explains Codex’s workflow of context, planning, execution, and deliverables, then covers everything from safely defining a working folder to organizing files, creating tables with sources, and setting up scheduled executions that run automatically at a specified time.

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!

Learn how to structure diverse data—including students’ grades, school records, and areas of interest—using the AI-SPARS tool, and leverage an LLM to design everything from major exploration and college/admissions strategies to personalized roadmaps. Rather than simple Q&A, you can immediately apply in practice a systematic AX-style career and college counseling process that progresses from Profile-Interview-Major-College-Admissions Track-Gap-Roadmap-Smart Report-Portfolio.

Stop getting student-record planning. I’ll reveal the entire consulting playbook used by a college admissions consultant with 30 years of experience.

Based on the experience of wondering how facial recognition works in offline environments on-site, this course will guide you through building the basic structure of a facial recognition-based access and attendance management system using React + Electron and Python's FastAPI-based DeepFace. Rather than focusing on perfection, we focus on understanding the operating principles and laying the foundation for you to expand into your own personal projects.

Learn how to ask ChatGPT for the results you want and verify the sources and outcomes of the materials. This is a 70-session course that begins with hands-on practice in documents, data, and writing, then progressively expands to the OpenAI API, RAG, agents, evaluation, and operations.

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

This course aims to cover the latest Gemini API SDK (@google/genai) in a Node.js and TypeScript environment. You will learn how to use multimodal technology to process text, images, and video simultaneously. We will practice the entire process, from issuing an API key to project setup and model calling.

I would like to introduce the history of AI and the perspective from which we should view the future of AI.

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.

Are you using code written by AI without even knowing what it does? It’s not enough for it to simply work—you need to make it perform well, yet when asked, “Why did you implement it this way?” you find yourself at a loss for words. The source of that frustration is a lack of fundamental CS knowledge and an understanding of how GPUs work. Through this course, you will learn the principles applied to CPUs and GPUs, along with the relevant CS knowledge, enabling you to control AI and give it instructions effectively. You will also be able to avoid being replaced by AI at your current company or when seeking employment or changing jobs, and earn a higher salary.

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.