Understanding LLM Architecture and GPU Utilization Strategies for AI Masters

A course comprising 5 modules and 18 lessons that transforms generative AI LLM agents that only drain money through API costs into a structure that controls expenses and actually generates margins through model routing, cascading, caching, and loop guardrails. You’ll build everything hands-on, from analyzing real-world cost explosion cases and simulating profitability to designing the architecture. Recommended for AI developers and makers burdened by API costs, as well as anyone looking to operate or plan agent-based services.

With ChatGPT, create your own content (songs, comics, blogs, books, papers, etc.) and create new businesses.

"Beyond Data Analysis: Mastering Predictive Modeling with 5 Real-World Projects (45 Lectures Total)" Have you finished learning data analysis but feel stuck when it's time to actually build a model? Beyond simply learning how to call libraries, this course will help you fully master the inner workings of algorithms and optimal model validation strategies—ranging from Titanic survival prediction to spam text classification. Systematically conquer projects that wield the most power in the industry, from linear models to the latest ensemble algorithms and the basics of Natural Language Processing (NLP). Step into the world of AI modeling and start predicting the future based on analyzed data.

Learn how to utilize various local LLMs (Qwen, Gemma) and explore different techniques to efficiently evaluate and improve the performance of LLM systems.

AI literacy refers to the "ability for general users, not just technicians, to effectively utilize AI in their practical work and daily lives," as well as the "competency to critically evaluate AI." This is a practice-oriented literacy course designed for non-experts to understand the core knowledge for "utilizing" AI well—covering everything from prompt engineering to security understanding, expansion, automation, and the structure of language models.

Learn context engineering techniques for creating high-quality AI agents through hands-on practice.

Complete 'Your Own Excel Add-in' by Giving AI Verbal Instructions Instead of Using VBA Syntax - Get started without coding knowledge · AI writes the code - Create your own tab and buttons in the Excel ribbon and distribute it as an XLAM - Preview the first lesson for free before payment · Lifetime access

The era of AI simply making PPTs "for" you is already over. What matters now is not "how well you use AI," but "how you think and design structures alongside AI." This is not a lecture that simply lists Claude and Gemini features. Through a practical PPT production workflow that you can use immediately tomorrow, we help you drastically reduce report writing time and focus on the more important task of "thinking." With a practice-oriented curriculum that can be applied directly to weekly report PPTs, go beyond shortening production time and complete your own AI-based work system. Point 1. AI Collaboration Structure Design: Speed changes when you divide roles - Division of labor: Claude for analysis, reasoning, and drafting; Gemini for visualization and slide generation - Designing a structure to use AI tools as "work partners" rather than simple utilities - Shifting work methods to reduce repetitive tasks and focus on thinking and judgment Point 2. Drastically shorten PPT production time with the R-S-D-P pipeline - Internalizing the 4-step production process: Research → Structure → Draft → Polish - Increasing work speed by standardizing the flow of report and proposal creation - Learning practical PPT production methods that reduce time by more than 70% compared to traditional methods Point 3. Structuring repetitive tasks by building your own AI automation system - Building a personalized AI environment using Claude Projects and Gemini Gems - Designing "your own AI assistant" trained on your company's tone, manner, and templates - Completing a sustainable work system by automating weekly and monthly reports

You will learn the meanings of tokens and context, terms you need to know before using AI services, and why LLMs are called “generative” AI. Through a simple hands-on exercise using Claude for Desktop, you will process unstructured text data into structured data and create a PPT and dashboard. You will learn everything from installing Claude Code to its basic usage, building a foundation for starting vibe coding.

A Practical AI Automation Series That Directly Transforms Your Work If you’ve learned about AI but still feel unsure how to use it in your work, what you need now isn’t an explanation of features—it’s practical ways to use AI that immediately transform your work. The SMART WORK ORDER series is a hands-on AI automation series designed to reduce repetitive tasks across roles—including marketing, planning, HR and general affairs, sales, customer support, data analysis, and team leader and manager responsibilities—and turn them into tangible work deliverables. Content drafts, meeting minutes, proposals, consultation scripts, FAQs, VOC reports, data analysis reports, and even team prompt libraries. Each course is designed not as a “lecture to watch and understand,” but as a hands-on program where you follow along and create real deliverables. The prompts and templates you learn today can be applied to your work tomorrow, growing into practical assets that improve not only individual efficiency but also team productivity. AI-powered transformation at work: reducing repetitive tasks while improving the quality of deliverables. SMART WORK ORDER is a role-specific, practical AI program that changes the way you work—making it faster, more accurate, and smarter.

Do you know the basics but feel overwhelmed when it comes to applying them in practice? Drawing on real-world experience, we make complex LLM architectures easy to understand.

This is a course covering the GitHub notebooks and bonus content from <Build a Large Language Model from Scratch> (Gilbut, 2025). GitHub: https://github.com/rickiepark/llm-from-scratch/ <Build a Large Language Model from Scratch> is the Korean translation of the bestseller <Build a Large Language Model (from Scratch)> (Manning, 2024) by Sebastian Raschka. This book provides a way to learn and utilize the operating principles of large language models by building a complete model starting from scratch with OpenAI's GPT-2 model.

LLM and Agent, the fundamental technologies behind AI like ChatGPT. LLM is currently the technology that has come closest to AGI. In this lecture, we will explore LLM and Agent technologies from a layperson's perspective.

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!

An AI that understands Korean well, handles long documents, and even carries out real-world tasks—that is exactly the direction Solar Open 2 is aiming for. This class provides an accessible explanation of Upstage’s Solar Open 2 technical report in the order of “Introduction → Design → Training → Evaluation.” Technical terms are explained through everyday analogies and visual materials, enabling even beginners to understand “what,” “how,” and “why” as one coherent flow.

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.

This lecture teaches how to generate images using DALL-E3 (DALL-E). Through basic functions, a 3-step prompt strategy, and hands-on image generation practice, participants can become creative image creators.

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

A Practical AI Automation Series That Plugs Directly into Your Work If you’ve learned about AI but still feel unsure how to apply it to your work, what you need now isn’t an explanation of features—it’s a practical way to use AI that transforms your work right away. The SMART WORK ORDER series is a hands-on AI automation program designed to reduce repetitive tasks across marketing, planning, HR and general affairs, sales, customer support, data analysis, and team leadership and management—and turn them into real-world work outputs. From content drafts, meeting minutes, proposals, consultation scripts, FAQs, VOC reports, and data analysis reports to team prompt libraries. Each course is designed not as a “lecture you watch and understand,” but as a hands-on experience where you follow along and create tangible results. The prompts and templates you learn today can be applied to your work tomorrow, expanding into practical assets that improve not only individual work speed but also team productivity. AI-driven work transformation that reduces repetitive tasks while raising the quality of your deliverables. SMART WORK ORDER is a job-specific, practical AI program that changes the way you work—making it faster, more accurate, and smarter.

Build a Saju (Four Pillars of Destiny) analysis AI agent that integrates Manseryeok, Astrology, Zi Wei Dou Shu, Onomancy (Name Study), and MBTI using n8n workflows and Python algorithms. We will complete a production-level service system from start to finish where 13 specialized agents collaborate to generate professional-grade Saju reports.