Claude & Gemini 3.1 Complete Mastery: Practical Guide to Prompt, Image, and Video Generation

This is a comprehensive practical course for everyone, from developers new to Claude Code to those who want to actively utilize AI in their professional work. In this course, you will learn step-by-step, starting from the basic concepts and natural language processing principles of Claude Code to installation, conversation and session management, model and effort settings, and context management. Afterward, you will master practical development methods that can be immediately applied to real projects, such as codebase exploration, writing accurate prompts, bug debugging, TDD workflows, refactoring, and automated quality control using Hooks. Furthermore, it systematically covers the latest AI development processes using Claude Code, including Git PR code reviews, GitHub Actions automation, parallel development using Git Worktree, Skills development, sub-agent configuration, multi-agent collaboration, team standardization and onboarding, and technical documentation. The course is structured around examples and projects that can be directly applied in the field, allowing you to build development capabilities for real-world tasks rather than just learning simple features. You will fully master a new way of developing—collaborating with AI to maximize development productivity using Claude Code.

This course is structured step-by-step, from the basics to practical applications, 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 creating documents, charts, diagrams, and simple applications using Claude Artifacts, as well as producing infographics using Claude's design capabilities, editing 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 formulas, and coding assistance. The course explains everything through real-world examples so that anyone—from beginners with no AI experience to professionals, students, and content creators looking to improve work efficiency—can learn easily and apply it right away.

This course focuses on practical training in the core foundations of data analysis and data preprocessing using NumPy and Pandas. You will learn step-by-step, starting from Python's basic data structures to NumPy arrays and Pandas DataFrames, and master various processing techniques for analyzing real-world data. By practicing the most frequently used functions in data analysis—such as data cleaning, transformation, merging, and grouping—you can naturally improve your data preprocessing skills for machine learning. The course provides both conceptual explanations and hands-on exercises so that even beginners can easily follow along, allowing you to build a solid foundation for data analysis and machine learning.

Data visualization is an essential skill for effectively communicating data and supporting decision-making. This course is designed for beginners learning Tableau for the first time, offering a practice-oriented curriculum that covers everything from basic data visualization concepts to creating various charts and data analysis techniques. Through this course, you will gain hands-on experience with frequently used practical features, including Tableau installation, data connection, creating various charts, calculated fields, trend lines, box plots, histograms, and highlight tables. In addition, you will learn core concepts necessary for data analysis, such as data literacy, data visualization strategies, correlation analysis, and outlier analysis. Even complex functions are explained step-by-step at a beginner's level, allowing those new to Tableau to follow along without any pressure.

This course is structured step-by-step, from the basics to practical applications, 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 creating documents, charts, diagrams, and simple applications using Claude Artifacts, as well as producing infographics using Claude's design capabilities, editing 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 formulas, and coding assistance. The course explains everything through real-world examples so that anyone—from beginners with no AI experience to professionals, students, and content creators looking to improve work efficiency—can learn easily and apply it right away.

Just say it, and AI will do it! From files and reports to emails. The Claude Cowork practical course for full automation without coding!

No coding knowledge required, build your very first service with Google Stitch An all-in-one AI development workflow that connects everything from planning to deployment in a single stream

Learn a complete workflow for efficiently creating your own e-book utilizing AI and automation tools. From slide creation with Marp and PDF/EPUB conversion using Pandoc, to MySQL database management, cover design, and publishing preparation, this guide provides a systematic production process applicable directly in practice, step-by-step.

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.

The Gemini agent that works across Google Drive! Put the finishing touches on your Google AI workflow with overwhelming productivity.

This course consists of a curriculum designed to achieve overwhelming efficiency in various fields such as planning, development, marketing, and job preparation by utilizing 'Perplexity AI,' an AI answer engine that goes beyond the limitations of traditional search engines.

Can you create a service with your ideas even if you don't know how to code? With AI, it is possible! In this course, you will experience the entire process of turning an idea into a real web service using "Vibe Coding" tools used in the industry, such as Gemini, Lovable, Antigravity, Cursor, and Claude Code. You won't just learn how to use the tools; you will master a new way of service development in the AI era—from planning and deploying to integrating payments. Point 1. Master 5 Core Vibe Coding Tools - Hands-on practice with core features and applications of Gemini, Lovable, Antigravity, Cursor, and Claude Code - Understanding the Vibe Coding development method of collaborating with AI Point 2. Building a Real Service Without Coding - Hands-on process of planning and implementing a book recommendation web service - Understanding the entire service creation flow: Idea → Development → Deployment Point 3. Practical Skills for Service Launch and Operation - Understanding domain purchase, server setup, and the deployment process - Learning core operational technologies such as payment module integration and SEO settings

Complete your business promotion and marketing with AI! From commercial district analysis to review management and SNS content creation—finish it all on your own.

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

AI is no longer a tool exclusive to developers or experts. The gap between "those who use AI" and "those who don't" is already widening across all roles—from students and job seekers to office workers, planners, and developers. This course is a practical survival guide focused on: ✔️ How to use AI as a tool to explode your productivity, not as a replacement technology ✔️ Prompts you can immediately apply to work, studies, job hunting, planning, and development ✔️ The mindset that turns someone who says "I tried AI, but it wasn't that great" into an AI expert Rather than just explaining features, I will show you: 👉 What kind of people survive in the AI era 👉 Exactly how those people use AI in practice Based on my own experiences and real-world examples.

Workplace innovation completed with Google Workspace, Gemini, and NotebookLM! This is a practical course that takes you step-by-step from setting up the Google environment to utilizing Gemini, advanced search, managing notes/tasks/schedules, using Drive and Photos, collaborating via Gmail/Meet/Chat, working with Docs/Sheets/Slides, creating images and videos, building forms and sites, analyzing data based on NotebookLM, and automating tasks using Colab and Apps Script. Rather than a simple introduction of features, it is structured around hands-on practice—such as searching, drafting documents, organizing data, creating presentation materials, receiving applications, building rulebook chatbots, registering schedules, and automatically generating surveys—so that it can be applied immediately to real-world business scenarios. 🚀 Key Course Points 1. Integrated Smart Work Connecting the Google Ecosystem as One Google allows you to organically connect and use search, email, calendar, documents, drive, and collaboration tools with a single account. This course helps you master this connection structure centered on workflow. 2. Immediate AI Practical Application and Automation It covers everything from document writing, summarization, chatbot configuration, schedule generation, survey creation, and email automation using Gemini, enabling you to transform repetitive tasks into actual business automation. 3. Data-Based Analysis and Highly Reliable Business Application By using NotebookLM to find answers only within uploaded sources and performing summarization, analysis, learning, and report writing based on citations, it enhances the reliability of your practical work. "Add AI wings to the Google ecosystem." Now, leave the complex tasks to AI agents and focus on more valuable decision-making.

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.

Everyone says agents are the trend, but why does your work stay the same? Have you been blocked by the "alien language" of APIs, stuck at tool installation, or found that what you learned doesn't translate to actual work? This integrated course connects the entire process into "one single path"—from the principles of API and communication structures to creating your own agent through Vibe Coding, and automating practical tasks like reports, Excel, and content with Claude Code. Whether you start from the basics or aim for professional application, you will complete the journey without interruption. (Windows recommended)

This is a hands-on workshop where small business owners, such as those running cafes, restaurants, and retail stores, can learn to directly create review replies, customer notices, menu descriptions, SNS promotional copy, and draft posters using generative AI. Based on 10 years of experience in operating food service and cafe businesses, as well as running the "AI Boss" service, this course focuses on practical workflows and methods for reviewing AI outputs that can be applied immediately in actual stores, rather than complex technical explanations.

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

Claude Code is rapidly growing as one of the most powerful AI coding agents available today. However, simply installing Claude Code is not enough to maximize productivity. To truly utilize Claude Code effectively, you must understand advanced features such as context management, memory systems, skills, subagents, and agent teams. In this course, we will learn step-by-step, starting from the installation and initial setup of Claude Code to advanced workflows used in real-world practice. Students will learn how to integrate Claude Code with VS Code and how to select and utilize various models. Furthermore, you will master how to perform complex development tasks efficiently using Context Engineering, Memory management, Skills, Subagents, and Agent Teams. After the course, you will be able to use Claude Code not just as a simple AI chatbot, but as an AI development partner that genuinely boosts development productivity. Based on real-world experience in AI development and software projects, the instructor explains how to apply Claude Code to practical work and helps students solve common issues such as context management problems, token waste, and inefficient prompt writing.

Even if you are not a major or a designer, you will learn how to directly create and modify web UIs, proposals, and design systems using Claude Design and Figma. To ensure immediate application in practice, the course proceeds step-by-step with a focus on hands-on practice—covering everything from the differences between Claude Code and Claude Design to installation, plugin utilization, component-based UI production, design modification, and methods for applying them to live services. This lecture is designed to help developers, planners, and marketers who found design tools difficult to experience rapid result-making through AI and component-based workflows.

I will show you "where to start" through a case study of building a service with non-developers in just one day, and explain "how to manage and collaborate" using the example of designing the GitHub structure for the Selfish Membership team.

This course introduces core principles and practical uses of various generative AI technologies (text, images, video, music), helping foster creative problem-solving skills.