Understanding LLM Architecture and GPU Utilization Strategies for AI Beginners

Beginner's Kafka & Spark Real-time Pipeline Course. All-in-one: Master concepts to architecture.

This is a course to learn about Airflow, an Orchestration tool for efficiently building and managing data pipelines. Welcome to the Airflow Master Class, where even beginners can learn step-by-step!

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

<This course is part of the 'Wrtn AI Literacy Voucher Program', a collaboration between Inflearn and Wrtn, and is available completely free for elementary, middle, and high school students who are in the AI vulnerable demographic.> From the fundamentals of artificial intelligence to generative AI that creates text, images, and videos! Artificial intelligence is already being used everywhere in our daily lives. This course is designed to help you easily understand what AI is, how it learns, and how it works. Without complicated formulas, just follow along like listening to a story and you'll naturally become friends with artificial intelligence!

Have you wanted to make good use of AI, but felt it was too difficult and complex to get started? This course was prepared specifically for you. Rather than complex theories or difficult technical explanations, we have selected only the practical applications that professionals can use in their work immediately. From schedule management and meeting minutes to press releases, reports, presentation materials, image generation, infographics, and automation of repetitive tasks. We explain in simple terms how to connect AI to the tasks that professionals encounter most frequently. Point 1. Reduce Work Time - Learn how to quickly handle repetitive tasks such as organizing meeting minutes, managing schedules, and drafting reports. - Understand the workflow of generating and editing practical documents like press releases and proposals on the spot. - Shorten overall work speed by connecting multiple tasks into a single flow. Point 2. Improve the Quality of Results - Learn structuring methods to make reports and presentations more readable and persuasive. - Create various outputs such as PPTs, images, and infographics all at once. - Improve visual quality using data and design guides. Point 3. Utilize AI as a Work Partner - Go beyond just using features and understand how to integrate AI into your specific workflow. - Consistently derive desired results based on prompts and data. - Learn collaboration methods that maintain context without the need for repetitive instructions.

Have you ever thought, "I wish I had Iron Man's perfect assistant, Jarvis..."?! Complete everyone's Jarvis to help you handle your work wisely!

A lecture that masters any tool by learning the 'principles' of how AI creates PPTs. From data research to completion using Gemini, Gamma, and Claude, finish a full PPT deck within 30 minutes.

Explore the limitations of LLMs, the latest technologies to overcome them, and projected future technologies.

Genspark Ambassador's Lecture >> Genspark, the AI Super Agent that smartly handles everything from PPT, Excel, images, and videos to Vibe Coding! You’ve been waiting because there were no lectures or books that covered Genspark in depth, right?! Rated 4.8 by 100 students ⭐️⭐️⭐️⭐️⭐️ After using it for a year, I have organized all the detailed features into extensive learning materials and a 4-hour lecture. If you know how to use it, Genspark solves all your work; if you don't, it just eats up your credits. Increase your productivity by 300% through this lecture!

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!

Master the complete lifecycle of building modern Generative AI applications using Large Language Models, Retrieval-Augmented Generation, and Agentic AI systems. Learn to design enterprise-grade AI solutions from prompt engineering to deployment, combining LLMs with vector databases and external knowledge sources for production-ready applications.

Mastering difficult AI with just one single analogy?! A first step into AI principles, understanding through core concepts rather than just terminology.

AI Tech DNA Series: Core Principles of Computer Basics from an AI Perspective is an introductory course designed to help you easily understand the fundamental computer concepts necessary for the AI era. By explaining basic principles such as CPU, memory, storage, networks, and data structures through real-life analogies and an AI-focused lens, it builds the solid foundational strength needed to advance into Python, AI, security, and the cloud.

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

This is a course to master the fundamental theories of LLM and the core technologies of LangChain and RAG. You can easily learn the latest AI technologies used in practice, starting from LLM basics!

In the generative AI era, anyone can use it, but those who use it well are different. For those new to GPT, Gemini, and Claude, you will fully understand the world of AI through 100 practical prompts that you learn by actual input.

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.

This is a lecture covering LLM theory and practical examples based on <Large Language Models, Just the Essentials!> (Insight, 2025).

We understand why Attention was needed and how it works by 'implementing it directly with code'. This lecture starts from the structural limitations of RNN and Seq2Seq models, experimentally verifies the information bottleneck problem and long-term dependency issues created by fixed context vectors, and naturally explains how Attention emerged to solve these limitations. Rather than simply introducing concepts, we directly confirm RNN's structural limitations and Seq2Seq's information bottleneck problems through experiments, and implement **Bahdanau Attention (additive attention)** and **Luong Attention (dot-product attention)** one by one to clearly understand their differences. Each attention mechanism forms Query–Key–Value relationships in what way, has what mathematical and intuitive differences in the weight calculation process, and why it inevitably led to later models naturally connects to their characteristics and evolutionary flow. We learn how Attention views sentences and words, and how each word receives importance weighting to integrate information in a form where formula → intuition → code → experiment are connected as one. This lecture is a process of building 'foundational strength' to properly understand Transformers, helping you deeply understand why the concept of Attention was revolutionary, and why all subsequent state-of-the-art NLP models (Transformer, BERT, GPT, etc.) adopt Attention as a core component. This lecture is optimized for learners who want to embody the flow from RNN → Seq2Seq → Attention not through concepts but through code and experiments.

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

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.

"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.