How Office Workers Who Leave on Time Use AI: A Practical Introduction to Claude Code

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.

Efficiently tackle the typical office tasks that keep employees working late—such as recurring monthly report writing and large-scale data organization—with the AI assistant Claude. Learn practical techniques for freely designing and enhancing long-form text visualizations and slides while preserving the unique formatting and layout of your company’s templates. Through this process, you can perfectly complete the manual documents that accumulate over time within the allotted deadline.

Are you using AI but still unable to get it to do the work for you? This course is not just about simple usage; it is a process of creating your own "high-performing AI assistant." By mastering everything from prompt principles to personalization settings and task automation at once, you can delegate repetitive tasks to AI and create a new way of working that allows you to focus on your core responsibilities.

You will systematically learn the principles and practical applications of the latest generative AI technologies, from ChatGPT to image and video generation AI and no-code tools. Through seven core topics, including prompt engineering, Copilot utilization, and AI extensions, you can maximize work efficiency and develop creative problem-solving skills.

Understand Transformer-based LLM architectures and GPU utilization strategies, and gain hands-on experience with the actual serving process using vLLM. This course covers the entire practical workflow, from building AI system pipelines to monitoring and multi-GPU utilization, and is designed for intuitive understanding through diagrams and practice without complex formulas.

This course is part of the 'Wrtn AI Literacy Voucher Program', a collaboration between Inflearn and Wrtn, and is available completely free for small business owners who are vulnerable to AI adoption. Are you busy running your store all day while also handling everything from Naver review responses to Instagram posts and marketing? This course is an introductory AI literacy program designed exclusively for small business owners to help AI share the burden of "marketing done by the owner themselves." Using generative AI and image, video, and no-code tools, you'll learn to handle everything from posters, menu boards, Instagram content, review responses, to DM management all at once. Without difficult coding, you'll create automated systems for reviews, trial groups, and DM responses using Google Sheets and automation tools (Make, Manychat, etc.)!

I got answers from AI, but am I still doing the work myself? From the basics of using Claude Code to building apps, automating Instagram carousel posts, and researching competitors’ social media. Follow along while watching the screen and learn how to apply it to your own work. This includes 11 beginner-focused desktop app lessons, along with hands-on practice for real-world tasks.

From AWS EC2 backend operations to automatic error fixing, we are revealing the entire development process of Sidabari (https://github.com/cx8537/sidabari), a Claude Code-based automation tool. In this course, we provide all the actual prompts and conversation history used as learning materials, allowing you to experience the entire prompt input process involved in its creation.

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.

Textbooks teach the modules separately, but the real world is different. An active SAP center director builds a hypothetical dumpling factory from start to finish and shows, through actual implementation project screens, how FI, CO, SD, MM, and PP really connect and work together.

Master prompt engineering perfectly, an essential skill for developers in the AI era.

You know about AI agent frameworks, but understanding how they work and applying them in practice can be difficult, right? Drawing on firsthand experience from Silicon Valley, we’ll guide you from the core principles to practical applications.

These days, it's become so famous that you can't afford not to know about it - Nano Banana? Gemini 3.0? In this course, you can learn to handle everything with the Gemini API.

This course is designed step-by-step, from the basics to practical application, so that even those new to Claude AI can easily follow along. In this course, you will start with the basic concepts of Claude AI and how to write prompts, and then learn various use cases such as document writing, summarization, translation, brainstorming, and file and image analysis. You will also practice how to create documents, charts, diagrams, and simple applications using Claude Artifacts, as well as creating infographics using Claude Design, modifying results, and saving them as PDFs. Finally, we provide productivity-enhancing know-how that can be used immediately in the workplace, including advanced prompt engineering techniques, automating repetitive tasks using the Projects feature, Excel functions, and coding support. From beginners with no AI experience to office workers, students, and content creators who want to increase work efficiency, the course explains everything through practical examples so that anyone can learn easily and apply it right away.

Let’s explore everything from data input to model modification, and learn about regression and classification models, which can be considered the starting point of supervised learning.

This course is designed for those who want to go beyond simple AI chatting and actually get work done using AI agents. Many students are already using ChatGPT or Claude, yet they still struggle with repetitive tasks, scattered workflows, excessive research, and low productivity. The problem usually doesn't lie with the AI itself, but in knowing how to organize work systematically, give clear instructions, and build reliable workflows. In this course, we provide a step-by-step guide on the practical application of Claude Cowork. Rather than focusing solely on theory, we practice through practical examples such as project management, browser automation, meeting preparation, persistent memory systems, skills, plugins, and desktop control. This course explains everything in a simple and practical way so that even beginners can easily follow along. By the end of the course, students will understand how to utilize Claude Cowork as a true productivity assistant for research, planning, organization, automation, and daily tasks.

You have likely seen many misleading lectures about monetizing AI music. Yes, AI music monetization is possible. It is simply not difficult enough to justify paying expensive tuition, nor is it a way to make easy money. This is an action-oriented course for those who are interested in AI music monetization but feel lost on where to start. Based on my personal experience of creating AI music, organizing albums, distributing tracks, and utilizing YouTube and TikTok, I have structured the workflow—from music generation and album planning to file preparation, distribution, and monetization setup—so you can follow along from the very beginning. This course does not guarantee profits; rather, it is designed to help you experience the entire process of releasing AI music and preparing for monetization from start to finish.

Even people who know nothing about coding will be able to give AI commands in Korean and create their own automated stock trading program!

How to Build an Efficient Startup Workflow System with Just Notion 🧑🏻‍💻 (Practical Workflow Templates Provided by Practitioners)

$0 model fees, infinite visuals completed with NanoBanana All-in-one visual creating for diverse content designs