NotebookLM Usage Guide to Increase Productivity

GCP (Google Cloud Platform) is Google's cloud computing service, offering a variety of infrastructure and platform services. This allows you to leverage various functionalities.

Learn how to analyze 5 million Korean apartment transaction data using PostgreSQL. Covers the process of data cleaning, transformation, and deriving meaningful insights through various SQL queries.

This is the process of designing and implementing applications and directly designing and configuring Cloud infrastructure architectures to run developed programs in a Cloud environment.

This is a lecture on performing performance and load tests on a sample Web Application using Locust.

This article describes the process of creating AWS resources based on AWS InfraArchitecture using Terraform modules.

Recording is not just taking notes, but a tool for organizing life's priorities. Through Obsidian, create your own 6F note system covering family, work, hobbies, growth, and more, and experience everything from daily reflection routines to structuring work notes. Without any fluff, it contains only the essence of recording and knowledge connection. From the basics of Personal Knowledge Management (PKM) to practical application, it guides you easily and clearly.

To help those who want to do well in the new year of 2025, we have updated it to the latest version. Learn how to create and manage projects, teams, and your own tasks using MS Planner and become a "professional worker🤩".

Learn how to use chatGPT in practice to dramatically increase your work productivity, and apply it directly to your work, from document writing to data analysis!

This is a Vibe Coding lecture that teaches how to create actual web services using public data with Google AI Studio (free), even without coding experience. We will create a complete service in Korean, utilizing the Public Facility Safety Information API, including search functionality, map integration, and AI analysis reports. You will learn the entire development process, from PRD planning to deployment, which can be immediately applied in real-world practice.

This course is for those who want to use JIRA to perform team work more efficiently. It explains the basic background knowledge for using JIRA, project creation, management, issue registration/management, and helps you understand the agile project execution lifecycle such as Scrum and Kanban and apply it to actual work.

This course is built from real-world agile delivery challenges faced by Scrum Masters, Project Managers, and Product Managers who struggle with time pressure, unclear requirements, overloaded backlogs, and inefficient meetings. Through hands-on demonstrations and step-by-step workflows, I show students exactly how to use Generative AI tools—such as ChatGPT, Jira AI, Confluence AI, Rovo AI, and Fireflies.ai—to solve these everyday problems. Instead of theory, the course focuses on practical use cases: creating product goals, refining user stories, generating acceptance criteria, planning sprints, automating documentation, and improving team collaboration. Each lesson is designed to help learners apply AI immediately in their daily work, build confidence with industry-standard tools, and develop AI-powered habits that increase productivity, clarity, and leadership effectiveness in agile environments.

Obsidian is not just a simple note-taking app, but a powerful second brain tool that allows you to systematically connect knowledge and information and utilize it long-term. However, many users give up midway due to difficulties with initial setup, the complexity of using plugins, and disorganized note structures. This course is designed to directly address these issues. Based on the instructor's experience of actually building knowledge management, project management, learning records, and productivity automation using Obsidian, the course provides step-by-step guidance on where to start, how to structure your system, and which features to use when. Starting from basic installation and setup, you'll learn to understand metadata, frontmatter, and markdown structure, and study daily, weekly, and monthly note systems, template automation, and core plugins like Tasks, Dataview, and QuickAdd through practical examples. The course also covers Zettelkasten-style note linking, project management, voice memo automation, and external service integration, so students can immediately apply what they learn to their own environment. Through this course, students will integrate scattered information into a single system and complete their own second brain that can be continuously utilized across learning, work, and projects.

This AI Literacy and Transformation Series (1) covers the following topics: 1. Data Center Cooling Innovation in the AI Era The Problem: The explosive power consumption of the latest AI chips (GB200, etc.) has pushed traditional air cooling methods to their limits, leading to AI performance degradation and massive operational cost issues. The Solution: Presents innovative liquid cooling technologies including Rear Door Heat Exchangers (RDCH), Direct-to-Chip (DTC) cooling, and immersion cooling. Additionally, provides strategies to simultaneously secure efficiency and sustainability through intelligent control systems that predict even leakage current and circular economy models that recycle waste heat for district heating. 2. The AI Paradox: Strengthening Critical Thinking to Awaken the Brain The Problem: The phenomenon of 'cognitive offloading'—outsourcing thinking to AI—is causing modern people's analytical thinking and literacy skills to rapidly deteriorate, creating a 'cognitive debt' problem. The Solution: Redefines AI not as a simple answer tool but as a tool for a 'cognitive gym'. Builds a system that makes you think first using critique, research, and synthesis agents, and strengthens metacognitive abilities as a 'helmsman' who determines direction rather than a passive passenger. 3. AI Memory Crisis: Next-Generation Architecture Design The Problem: The size of short-term memory storage (KV cache) required by AI is exploding, but expensive and limited-capacity HBM alone faces physical limitations in handling this data wave. The Solution: Presents a strategy for building a 'heterogeneous memory dream team' combining HBM, DRAM, CXL, etc. Provides solutions that dramatically lower corporate Total Cost of Ownership (TCO) by transferring smart system architecture design capabilities that balance capacity and cost rather than focusing on single component performance. 4. Palantir Ontology: Actionable Data Intelligence The Problem: Data is overflowing but fragmented, creating a 'data graveyard' problem where it fails to translate into actual decision-making and execution, blocking corporate innovation. The Solution: Gives data context and meaning through an 'Ontology' engine that maps physical assets to digital representations. Realizes data democratization where field personnel can directly command business without IT department assistance through 'Action Types (execution capabilities)' that immediately reflect analysis results into operational systems. 5. The Great Rewiring: AI Intelligence Stack Strategy The Problem: As the technology paradigm fundamentally shifts from the Internet era's 'deterministic computation' to the AI era's 'probabilistic prediction', existing business structures are being completely shaken. The Solution: Clarifies the reality of change through a '5-layer Intelligence Stack' map connecting semiconductors to applications. Provides a strategic decision-making framework for determining whether to Build or Buy AI capabilities, drawing a roadmap toward autonomous operating enterprises. 6. Forgetful AI: Maximizing Potential Through Feedback The Problem: AI's 'catastrophic forgetting' phenomenon where learning new information causes it to forget existing knowledge, and communication problems where unilateral commands prevent AI from performing properly. The Solution: Teaches 'coaching' and example-based dialogue methods instead of commanding AI. Transfers techniques for becoming a scientific training partner that enables AI to acquire new capabilities while maintaining existing knowledge through gradual feedback techniques that minimize behavioral change shock (KL divergence). 7. Engineering Financial Intelligence The Problem: Financial systems that remain stuck in past bookkeeping records and regulatory compliance cannot optimize capital allocation for an uncertain future. The Solution: Transforms into a 'dynamic scenario planning (war game)' system that computes thousands of variables in real-time using generative AI. Helps CFOs evolve beyond simple managers into strategic architects who design corporate value through 'Financial LLM' utilization methods that convert simple numbers into strategic signals.

Let's begin developing with Copilot (copilot). With AI, even elementary school students can follow along!

It's an era where you can create apps even without knowing how to code. If you have an idea, you can implement the features you want by conversing with Claude Code. This book introduces a new development approach where you communicate with AI to achieve desired results, rather than writing code directly. Through 15 hands-on projects, you'll experience various workflows with AI, from creating personal web pages to handwriting recognition, quiz apps, image-based recommendations, AI summarization, Notion automation, and cloud deployment. Rather than simply following examples, this provides an experience of completing the entire real-world development process—from planning, design, testing, to deployment—in collaboration with AI.

Copilot Chat will become more than just a simple AI assistant - it will be your reliable work secretary that maximizes your productivity and creativity. In this course, learn Copilot Chat's core features and usage methods, practical cases that can be applied immediately to real work, and customized tips tailored to each task, and start experiencing how your way of working changes with Copilot Chat!

MS Shifts service allows you to handle everything from creating work schedules to coordinating shift changes in one place, enabling you to experience innovation in schedule management. Integrated with Teams, communication becomes easier, and managers can monitor the entire team's status in real-time. By learning the Shifts service in this course and applying it to your organization, you can reduce unnecessary work and expect tangible results in team operation efficiency.

Computer Proficiency written exam is no longer difficult! We've organized only the core points so anyone can easily understand. With this course, passing in a short period is entirely possible. Start right now!

Microsoft 365 Copilot is a powerful tool that adds AI to the Microsoft 365 apps we use daily, such as Word, Excel, PowerPoint, and Teams. In this lecture, we kindly explain everything from the basic concepts of Microsoft 365 Copilot to app-specific usage scenarios that can be directly applied to your daily work, making it easy for anyone to follow. You can experience Copilot's powerful features through prompt writing methods and scenario demos that can be directly utilized in actual work.

Jira is the most suitable 'collaboration' and 'communication' tool for applying Agile techniques within organizations, which have recently become an issue!

Google Workspace is a digital tool used worldwide for collaboration in schools and companies. It offers secure and user-centric UI UX, making it easy to use, and is accessible on various devices, including smartphones. All data and documents are stored in a secure cloud, and AI functions can be utilized to assist with work and learning, boosting productivity. By taking lectures, you can become a competitive expert in the digital world. Recently, Google's generative AI Gemini Addon feature is also provided as standard, allowing users to safely work with AI using their own data, thereby boosting productivity. Now is an era where using digital tools and AI together yields synergistic effects. If you don't know how to use digital platforms, there will be no place to contain all your digital activities. Using AI without a platform is like building a sandcastle. You can solidly build a foundation with digital platforms and then construct a digital and AI 'castle' on top of it.

This course introduces how to efficiently manage project schedules using ProjectLibre, a free open-source tool. As an alternative to MS Project, it enables more systematic integrated management of schedules, resources, and costs compared to Excel. Additionally, since it's similar to MS Project, learning this course will help you quickly adapt to MS Project in the future. This course uses a hands-on, follow-along approach that allows anyone to easily create practical schedules. If you want to improve your schedule management capabilities and increase project success rates without cost burden, be sure to take this course! * Version used: 1.9.8 Windows version