If You’re Correcting AI Answers Every Time — A Practical Beginner’s Guide to Claude: Emails, Meeting Minutes, Excel, and Reports, with Double-Checking Built In

I hand my work folder over to Claude Code without writing any code. It pulls together 12 Excel files from our branches, completes a one-page report, drafts 20 emails, creates an ad performance table and a meeting action-items list, checks the numbers against the originals, then saves the whole process as a skill I can run again next month with a single line.

Get started with Claude AI the right way from the very beginning—practical skills you can use immediately on the job! If you want to use AI more intelligently, start with Claude AI.

Learn how to teach Claude a task you repeatedly explain just once using Claude skills. Get 14 practical skills you can use directly in the Claude app.

AI literacy refers to the "ability for general users, not just technicians, to effectively utilize AI in their practical work and daily lives," as well as the "competency to critically evaluate AI." This is a practice-oriented literacy course designed for non-experts to understand the core knowledge for "utilizing" AI well—covering everything from prompt engineering to security understanding, expansion, automation, and the structure of language models.

This is a practical Claude application course for AI beginners and non-developers. You will directly create results that can be immediately applied to real-world tasks, such as PPTs, content, YouTube videos, and product detail pages using Claude. Learn how to maximize work productivity using AI without any coding.

AI handles the first draft; I handle the judgment and polish. Learn the practical skills and terminology that junior planners use from day one, and work with Claude to create a complete set of deliverables for a study café reservation service: a project proposal, menu structure, screen designs, and functional specifications.

With a single request to AI, you can automate an entire business task from start to finish—from compiling multiple files in various formats and organizing data to automatically generating documents and quotations and converting them to PDF,

Learn a practical web production workflow that can be applied immediately in the field—from homepages, landing pages, and interactive websites to AI Agent-based CMS—using AI image/video generation tools and Vibe Coding. This course is not just about creating a single screen with AI. It covers the process of generating images and videos using the latest AI tools such as OpenAI Images 2.0, Kling, and Higgsfield, and utilizing them as hero images, background videos, transition videos, and interaction assets for actual websites. Based on Next.js, you will step-by-step implement cinematic landing pages, game-like interactive homepages, inquiry pages, and blog content pages, mastering structures and workflows that professionals can refer to immediately when creating homepages or landing pages. In particular, this course does not stick solely to traditional admin-page-style CMS. You will implement an AI Agent-based CMS structure where AI Agents like Codex and Claude Code organize content and image assets based on predefined skills and upload rules, then upload them to Neon DB and Vercel Blob Store. In other words, instead of an administrator manually entering data into forms one by one, you will experience an operational method where you provide blog topics, reference materials, and image assets, and the AI Agent organizes the content structure and uploads it in a consistent format. Later, this structure can be further enhanced into traditional admin pages, approval workflows, or automation pipelines as needed. Furthermore, it doesn't end with production; we will prepare elements necessary for actual operation, including Vercel deployment, GoDaddy domain connection, SEO meta tags, favicons, OG images, sitemaps, and robots.txt settings. The course also covers the process of registering sites and verifying ownership on Google Search Console, Bing Webmaster Tools, and Naver Search Advisor, as well as setting up Google Analytics and Google Tag Manager to track visitor data. By the end of the course, you will be able to independently reproduce a professional web production workflow that spans AI-driven planning, image/video asset creation, Next.js implementation, SEO optimization, deployment, search engine registration, analytics tool setup, and AI Agent-based content operation.

AI creates the first draft; I make the decisions and refine it. Using Figma’s free plan and free AI tools, I design a set of screens for a laundry pickup app, then create a clickable prototype and a feature specification to hand off to developers.

This course is for developers who have built an agent but are unsure how to connect it with other services and frameworks, or what formats to use when exchanging long-running tasks, approvals, statuses, and results. Using a LangGraph agent as the foundation, you will implement the A2A protocol yourself and learn step by step about Agent Cards, Tasks, Artifacts, streaming, authentication, webhooks, and gRPC. Finally, you will verify compatibility with the official SDK.

To avoid making a definitive diagnosis based on a single response, compare the input conditions, repeated results, errors, and logs. Observe direct and indirect prompt injections and create one evidence-backed Mission 4 diagnostic record. The hands-on environment from Part 1 and the threat model document from Part 3 are required.

Complete 'Your Own Excel Add-in' by Giving AI Verbal Instructions Instead of Using VBA Syntax - Get started without coding knowledge · AI writes the code - Create your own tab and buttons in the Excel ribbon and distribute it as an XLAM - Preview the first lesson for free before payment · Lifetime access

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.

Adding Copilot to MS Office? The perfect guide to maximizing work productivity! We provide a systematic learning process for effectively utilizing M365 Copilot in practice.

A Practical AI Automation Series That Plugs Directly into Your Work If you’ve learned about AI but still feel unsure how to apply it to your work, what you need now isn’t an explanation of features—it’s a practical way to use AI that transforms your work right away. The SMART WORK ORDER series is a hands-on AI automation program designed to reduce repetitive tasks across marketing, planning, HR and general affairs, sales, customer support, data analysis, and team leadership and management—and turn them into real-world work outputs. From content drafts, meeting minutes, proposals, consultation scripts, FAQs, VOC reports, and data analysis reports to team prompt libraries. Each course is designed not as a “lecture you watch and understand,” but as a hands-on experience where you follow along and create tangible results. The prompts and templates you learn today can be applied to your work tomorrow, expanding into practical assets that improve not only individual work speed but also team productivity. AI-driven work transformation that reduces repetitive tasks while raising the quality of your deliverables. SMART WORK ORDER is a job-specific, practical AI program that changes the way you work—making it faster, more accurate, and smarter.

You don’t need to know how to code. Organize your idea into a proposal, menu structure, and screen design with Plandy, then hand that planning kit over to Claude Code (web) to build a local Pilates booking app. Follow the entire process from start to finish, including creating member accounts, Kakao login, bookings and cancellations, membership session counts, an admin interface, and publishing it at a real address.

You don’t need to know how to code. Once you learn how to “give the right instructions” to AI tools like Claude and Codex, you can create everything yourself—from cinematic websites and motion-graphics promotional videos to AI short dramas, ads, and even podcasts made with your own voice. You’ll receive more than 20 ready-to-use kits containing projects that are actually being created and used, and we’ll show you the entire process exactly as it appears on screen: handing the folder over to AI and converting it to your brand → fixing only the parts you want with a single screenshot → completing Vercel deployment and domain connection. Recorded in October 2026 using the latest AI tools (Claude Opus 5.5 · GPT-6.1 · Grok Build), this course focuses on workflows that continue to work even when the models change.

You may have experienced Claude Code producing different results for the same request each time, violating the rules specified in its instructions, and being overly lenient in approving its own output. While developing platform servers in Pangyo and spending over $1,000 a month on Claude Code, I addressed these issues by building a harness consisting of instructions, Hooks, permissions, and a Sandbox instead of relying on prompts. In this course, you’ll build that harness from scratch, add Subagents, Agent Teams, and headless execution, and leave with a complete setup that you can copy and use as-is in other projects.

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.

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.