Claude Cowork: An Introduction to Work Automation—11 Practical Use Cases for Non-Developer Professionals (From Meeting Minutes to Proposals, Excel, and FAQs)

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.

Learn how to ask ChatGPT for the results you want and verify the sources and outcomes of the materials. This is a 70-session course that begins with hands-on practice in documents, data, and writing, then progressively expands to the OpenAI API, RAG, agents, evaluation, and operations.

3 projects that compress 20 carefully selected concepts will build 80% of your n8n skills.

We will show you how to use ChatGPT prompts for task automation in the most frequently used areas in practice (files and folders, Excel, PowerPoint, Word, PDF, data analysis), through various practical examples.

A flexible workflow pipeline that connects information search, analysis, and organization! A practical search-based automation curriculum completed with Felo

Just make it do it. n8n does the work - Practical workflows to save 1 hour a day with automation tools Get AI tool utilization + prompt engineering + practical automation sense all at once.

Your AI is no longer in the cloud. It runs directly on your laptop. Learn how to build a completely local Private AI environment using LM Studio and Ollama—for everything from data processing and document analysis to code generation. With no security concerns, no costs, and greater speed— move from simply “using” AI to “putting it to work” yourself.

Automate your repetitive tasks now with Opal. Create your own practical automation tools with our no-code AI workflow design!

This is a course on creating blog images using DALL-E 3. This course provides practical knowledge and hands-on opportunities from the basics of image generation technology to advanced usage techniques and problem-solving strategies.

See exam types and trends at a glance! Strengthen your practical skills with approximately 100 questions. The perfect preparation for the AWS AI Practitioner exam, allowing for systematic study even when preparing on your own.

Learn how to dramatically boost work productivity by automating the most frequently used MS Office tasks in your work using chatGPT.

No more lectures that start with boring grammar! Python practical application examples that jump straight into use

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

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.

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.

👉 Recommended for those who want to view AI results not as “values that simply came out,” but as understandable judgments. What exactly does AI use as the basis for making judgments? This course structurally explains how data affects AI’s judgments and why data is said to be important. You will learn how AI interprets numerical information and develops criteria for making judgments.

There may be people who have never taken my lecture, but no one has taken it only once. After teaching in person for so long, I have finally had the opportunity to create this online course. Since the commercialization of AI, I have produced and researched countless pieces of AI content. Based on that knowledge and experience, I have built a logical philosophy of my own and organized it into concepts that are easy for anyone to understand. For those who have been generating AI images without considering the underlying concepts, I will instill a proper foundation in you. Once you take this course, you will be able to create any AI image in the future. Have you never created an AI image before? That’s perfectly fine. You don't need any prior experience in AI image generation. By simply learning and practicing through this lecture, you can become an expert in AI content creation.

This is a practical course that uses Codex to connect business planning, website creation, marketing materials, task organization, and email automation. Even if you are not a developer, you will learn how to delegate tasks to AI and refine the results using Notion, Linear, Figma, and Google Workspace in an actual workflow sequence.

The real story of an AI-native company run by GolbinHacker, the 1st place winner of Kakao AI TOP 100 and author of the bestseller "The Best Prompt Engineering Lecture." It explores how just two developers build and operate a service, along with the new competencies developers and organizations need in the AI era through real-world cases.

Using AI has become easier, but model cards and papers are still difficult to read, even just a few lines. Although you can look up the meanings of individual words, it’s not clear how those words connect to one another. This course builds up around 160 essential terms that frequently appear in AI documents, in the easiest order to understand them, so that in each lesson you can accurately read a single sentence from an actual document.