AI-Powered Practical Security: From Vulnerability Detection to LLM Jailbreaking

Virtual assets and cryptocurrencies have driven financial innovation, but they are also being used as tools for crime, money laundering, and data breaches. This course starts with the basic concepts of virtual assets and blockchain, tracks actual cryptocurrency transaction flows, and analyzes suspicious fund movement structures.

Open-Source Intelligence (OSINT) plays a critical role in cybersecurity and threat intelligence. This practical, hands-on OSINT expert course covers everything from Dark Web environment setup and OSINT fundamentals to information gathering tools, as well as information analysis and automation using LLMs.

In the rapidly changing era of AI, IoT, metaverse, and blockchain, understanding technology alone is not sufficient. This course is an introductory guide designed to help you easily identify the security risks brought by the latest digital technologies in just 1 hour. With easy explanations that can be understood even without technical background knowledge and a composition centered on real-world cases, you can organize the security points you must know in the next-generation digital environment all at once.

This course is a practical guide that concisely summarizes the essential organizational security knowledge that everyone working in a company must know. From remote work security to in-house PC and data management, and IT outsourcing security—you can quickly learn the most realistic practical principles to prevent security incidents that actually occur in the workplace. Even if you're not a security officer and have no specialized knowledge, you can learn security habits and checklists that can be immediately applied to your work.

This course is an essential real-life IT security guide that even non-security majors and general users can follow immediately. It's designed to help you easily and quickly learn only the security practices essential for daily life, from understanding what ransomware is to infection prevention and response methods, smartphone security settings, and practical security configurations for Windows/Mac OS.

When providing global services or handling overseas customer data, knowing only domestic laws is no longer sufficient. This course is an introductory program that organizes the core structures of major global privacy protection laws at a glance within 30 minutes. It's designed to help you understand by comparing privacy protection laws by country, including GDPR, CCPA, APPI, PIPA, PDPA, and others. Additionally, you can briefly explore global data security regulations such as HIPAA, PCI DSS, and APEC CBPR, as well as emerging privacy protection issues in AI environments and trends in guaranteeing data subject rights.

This is an introductory course designed so that even people encountering information security and personal data protection for the first time can understand the overall flow within an hour. From security concepts to practical methods in daily life, and even the core content of Korea's Personal Information Protection Act (PIPA), only the essential parts are organized in an easy and simple way. Even without security knowledge, after listening, you'll naturally acquire the basics of safely handling personal information in daily life and work.

From controlling your PC to advanced research and app development A guide to building your own 'AI work assistant' ready for immediate deployment

LLM and Agent, the fundamental technologies behind AI like ChatGPT. LLM is the technology that has come closest to AGI at this point in time. In this lecture, we explore LLM and Agent technologies from a general public perspective.

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.

Generative AI: Practical Skills for Work Smarts! Work automation, security & ethics — all covered.

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

In the AI era, the capabilities of planners are being newly redefined. For all planners who want to develop practical skills to integrate AI into existing services or plan completely innovative new services, this course provides concrete guidance on 'feasible methods and paths.'

ChatGPT: How Far? Series, Stock auto-trading app & web inv. report creation!

I will tell you the "formula" for creating 챗GPT prompts. If you apply only this formula, good prompts will pour out.

This course goes beyond simple trends, covering how to systematically learn to collaborate with AI tools, verify and improve output quality, and build and deploy applications from start to finish. Anyone can take this course, from developers interested in AI to team leaders looking to boost team productivity.

AI proficiency determines your salary. Leave those tedious repetitive tasks to AI 'Almost Everything About Work Automation' teaches you how to create automation systems that handle your work with just a few clicks, no coding knowledge required. You'll be freed from boring document work and data organization, and transform into an 'AI work expert' who stays ahead of others.

A ChatGPT lecture planned with 2024's latest information. Based on large enterprise & finance field content, it covers hands-on 3.5/4.0 prompt practice and diverse generative AI tool use.

No coding knowledge required. Build it instantly in your browser with Google's latest tool (IDX)—no installation needed! Stop studying coding syntax! This is a high-speed practical course where you'll build an RAG chatbot that perfectly understands internal documents through AI conversation (Vibe Coding) in the Google IDX environment and deploy it live to the web.

Mastering ChatGPT: AI Use for Beginners - From Prompting to Content Creation and Programming

AI writes on my Slack and Notion for me? Work smarter with MCP that surpasses the limitations of existing AI!

This course covers the entire process of designing and implementing generative AI services centered on LangChain 1.0 and LangGraph through step-by-step hands-on practice. Beyond simple LLM calls, you'll directly implement operational AI system architectures that include agent-based architecture, state management, memory, streaming, middleware, and Human-in-the-Loop. Through hands-on practice with document/PDF/web data-based RAG systems, SQL Agent (Chinook DB), tool-calling-based Agents, Supervisor pattern multi-agents, and state machine-based workflows using LangGraph Graph API, you'll build reusable agent pipelines that can be immediately applied in real-world scenarios. Additionally, through structured output (Pydantic-based), agent middleware (Summarization, HITL, Retry, PII protection), and token/step-by-step streaming, you'll complete generative AI applications with the stability, scalability, and controllability required in actual services. 👉 For those who want to accurately understand the internal structure and execution flow of LangChain/LangGraph 👉 For those who want to implement RAG·Agent as a real service structure, not just a "demo" 👉 This is the optimal course for those who need a realistic practical roadmap covering state-based agents, SQL·document automation, and multi-agent orchestration.

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!

Solve the point where 80% get stuck at makeathons. Complete Raspberry Pi · Computer Vision · LLM · 3D Design in 4 weeks! Achieve top rankings at makeathons with a demonstrable smart mirror PoC!

AI literacy refers to 'the ability for general users, not just technicians, to effectively utilize AI in their work and daily lives,' and 'the competency to critically evaluate AI.' This is a practical, literacy-focused lecture, designed for non-majors to understand, covering key knowledge for effectively 'utilizing' AI: from prompt engineering → understanding security → expansion → automation → to language model structure.

Learn AI utilization methods and performance improvement strategies tailored to real-world business situations. (i.e., you won't learn things like automatic short-form video generation.) This is a practical course where you learn to leverage AI not merely as a tool, but as an ultimate instrument for business efficiency. By utilizing various generative AI and the latest AI agents such as ChatGPT, Gemini, NotebookLM, Gesnpark, Skywork, etc., you will master AI prompt utilization → AI data analysis → and AI task automation implementation, all at once. This class is optimized for planners, marketers, managers, founders, and others who wish to acquire business productivity and performance enhancement strategies directly applicable to their work.

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.