[Imweb] Entrusting Website Management to an AI Browser: About 3 Hours of Using Aside to Edit Copy, Products, Pop-Ups, and Search Settings by Voice

Planning Background Generative AI is advancing beyond simple question-and-answer interactions to performing tasks such as document creation, data analysis, information retrieval, and workflow automation. However, in actual workplace settings, people still repeatedly explain the background and purpose to AI each time or start writing documents from scratch on a blank screen. To address these issues, this course is structured to provide step-by-step learning, from prompt design to building a work environment using projects, instructions, knowledge, and GPTs. Market Overview The generative AI market is expanding rapidly, and the course covers the size of the AI market in 2026, competition among major providers, and growth cases involving ChatGPT, Gemini, and Claude. The lectures present the 2026 AI market size as approximately $539.5 billion and explain that, alongside the spread of multimodal and agentic AI, cost, integration, and execution capabilities are becoming competitive factors in addition to performance. Use Claude, ChatGPT, and Microsoft 365 Copilot to streamline workplace reporting, proposal, and planning tasks. Learn step by step, from the basic concepts of generative AI to interface and personalization settings, prompt design, project building, GPTs creation, and document automation.

I create and publish free tool websites under my own domain to solve inconveniences I’ve experienced with AI. I then improve them into services that are easy for people to find and use through search engine registration, site audits, and GA4 analytics, and guide you through the process—from preparing for AdSense to automating solo operations—based on what a developer with 20 years of experience has done firsthand.

Are you losing time to these recurring weekly tasks—organizing meeting minutes, writing reports, and compiling materials? This course does not simply list how to use Gemini. Instead, you will work through the practical task of “introducing a new AI tool to our team” from start to finish: researching with Deep Research → understanding with NotebookLM → sharing with Canvas → managing with Sheets → automating with Workspace Studio → and turning decision-making criteria into reusable assets with Gems. This is not a lecture; it is a workshop. You need to pause the videos and follow along hands-on. By the end, you will have learned more than how to use these tools—you will have developed a new way of working in which AI creates the drafts and you make the decisions.

A practical AI automation series that plugs directly into 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, but 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 real work deliverables. Content drafts, meeting minutes, proposals, consultation scripts, FAQs, VOC reports, data analysis reports, team prompt libraries, and more. Each course is designed not as a “lecture you watch and understand,” but as a hands-on program where you follow along and create actual deliverables. 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. An AI-powered transformation of work that reduces repetitive tasks and raises the quality of deliverables. SMART WORK ORDER is a role-specific, practical AI program that changes the way you work to make it faster, more accurate, and smarter.

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.

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.

This course is for solopreneurs and marketers who are exhausted from creating content every day. Send a single topic line to Telegram on your phone, and build a bot—without coding—that returns ten card-news slides, a caption, and a 40–50-second short. The instructor has transferred the design rules and review mechanisms from the bot they operate themselves, prompts and all, and verified that it works from scratch, starting with an empty folder and running all the way through to producing the final content.

In this course, you will take away a “homepage template with reservation function” that can be used for real businesses.

I used to spend hours writing blog posts myself. I wasn't good at writing; it would take me 30 minutes just to come up with a title and an hour to create a thumbnail. When I included the time spent thinking of social media posts, it sometimes took half a day just to complete a single article. Even though I was good at speaking, I struggled to organize those thoughts into writing. I enjoyed audio broadcasting, but the task of turning it into a blog felt like a chore, so I always put it off. However, everything changed once I started using Google Opal. Simply by uploading an audio file, the blog body, title, thumbnail, and social media posts are all automatically generated. What's more, by having it reference my own writing rules, it generates text that sounds like me and doesn't feel "AI-like." In this course, you will be able to build the exact workflow I use through the shortest possible route. No programming experience is required. You can build an AI app just by giving instructions in Japanese. It's okay even if you don't do audio broadcasting. You can complete an article just by speaking about blog ideas as they come to you. You no longer need to struggle for hours to write a piece. Just by speaking, your blog, thumbnail, and social media posts are completed. That future begins today.

[How Smart People Think and Question] – Author's simplified lecture! Generative AI era, good questions over answers.

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.

You don't have to learn difficult coding to develop. Learn how to understand Power Apps and create mobile apps that will be used in real companies by creating three mobile apps that your company needs with Power Apps.

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.

If you want to create your own AI service without coding, this course is the perfect solution. Using the Dify no-code platform, you can create high-quality AI apps with just your ideas. Instead of complex theory, it's structured around hands-on projects, allowing both AI beginners and working professionals to develop practical skills.

This is a foundational course utilizing GPT Image 2. You will understand the core principles of LLM-based image generation models and learn prompt design methodologies using the latest AI image generation tools. From basic concepts to detailed prompt engineering techniques that can be directly applied to practical tasks, this course will help you master practical AI image generation skills to enhance work productivity.

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 "How Far Can You Go with ChatGPT?" series: Creating a Stock Auto-Trading Application and Web Investment Reports!

From SEO Fundamentals Every Real Marketer Should Know to the Latest AI Applications

Hi Guys. Welcome to my course - Full Digital Marketing Course 2026: SEO, Paid Ads, Social Media Marketing, Social Media Ads, GA4, GTM, Email Marketing, Content Marketing & Website Development! In my course you will learn everything about Digital Marketing. I have created video lessons on every topic and feature of Digital Marketing. You will get to see the real practical implementation of how to create each and every campaign and how to use every feature of this product. This is the most detailed course on Digital Marketing you will ever find on the internet. I have created different sections based on different topics of Digital Marketing and in each section, I have gone in-depth into explaining the concept of each feature and how to practically implement it.

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.