Essential Setup from A to Z When You First Buy a MacBook (Claude Code · OpenClaw · Hermes Agent | All-in-One macOS)

Beyond a chatbot that simply generates answers, you will directly implement an autonomous AI Agent that makes its own judgments, calls tools, and performs multi-step tasks. You will learn through step-by-step practice, covering everything from OpenAI Agents SDK's Tool Calling, Handoff, Guardrail, Session, and Tracing to connecting external tools and databases using MCP, as well as LangChain and Deep Agents' Planning, Subagents, Filesystem, and Memory. The ultimate goal is to equip you with the ability to design and implement tool-integrated AI Agents that can be applied to real-world tasks.

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)

Claude Work Automation That Gets You Off Work Earlier! Don’t just ask Claude questions—put it to work on real tasks. Learn how to automate repetitive daily tasks such as Excel spreadsheets, documents, meeting minutes, reports, and PPTs, so you can leave work earlier. No coding knowledge is required; this is a practical, project-based course that’s easy to follow and can be applied directly to your own work.

A practical side-project course for professionals who feel uneasy entrusting their career to just one company. By combining three elements—LinkedIn (trust), AI (productivity), and small products (validation)—you’ll build a version of yourself that works outside the company, too. Based on my own journey from 10 years at an advertising agency → 5 years as a data strategy leader → becoming an independent freelancer, I’ve organized everything into actionable steps you can start right after work: LinkedIn profile and writing routines, finding your selling points, five revenue models (courses/webinars · consulting/coaching · e-books/templates · partnerships/collaborations · communities/memberships), a worksheet for designing your first product, and sales channels and community operation funnels.

This course is a practical program that condenses the know-how needed to create "effective materials" at a side-job level using iPad and AI, even for beginners. Moving beyond simple tool tutorials, you will systematically learn the **"design theory"** of slide composition, color schemes, and white space management practiced by professionals. You will master the fastest workflow of the AI era: organizing thoughts with ChatGPT, structuring with Gamma, and finishing with high quality in Canva. By logically understanding the "correct answers to design," you will be able to produce persuasive materials that are immediately applicable in business and educational settings. Learn to use AI intelligently and acquire next-level creative skills. We solve the common struggle of "not knowing what makes a design right." A professional with 30 years of design experience will systematically teach you the theories of slide composition, color schemes, and white space. Master the fastest workflow of the AI era—crafting structures with ChatGPT, visualizing instantly with Gamma, and finishing at a professional level with Canva. With just an iPad, you will become capable of creating "effective materials" that serve as an immediate asset in business and education.

Agent concepts and practice all at once?! A seamless, integrated course completed with OpenClaw. (Mac recommended)

Mastering difficult AI with just one single analogy?! A first step into AI principles, understanding through core concepts rather than just terminology.

When you learn machine learning, you learn how to improve accuracy. But the moment you try to put that model onto an actual chip, questions no one has answered remain. How many multiplications does this model perform? How much does it need to remember, and for how long? Can the chip specifications you are targeting handle those requirements? Machine learning textbooks talk about accuracy, and semiconductor textbooks talk about circuits, but materials that bridge the gap between them are rare. I repeatedly encountered this gap while implementing RISC-V CPUs and NPUs on FPGAs. The model with the highest accuracy often turned out not to fit on the board. In this course, you will build six algorithms directly in Python, measuring the number of multiplications, comparisons, memory usage, and accuracy each time. Then you will convert those figures into the resources of an actual FPGA board. Saying that something requires a certain number of multiplications is not enough to gauge its size, but knowing that it uses a certain percentage of the board makes the decision clearer. After nine Labs, when the six models are brought together in a single table, an unexpected picture emerges. We spent nine lessons counting multiplications, but multiplications were not what held us back. After that, we reduce floating-point values to integers, manage bit widths, and even establish criteria for evaluating the circuit. You do not need an FPGA board. The course is conducted entirely in Python, and the board is used only as a reference for converting the measurements.

Evolve Obsidian beyond a simple notepad into a personal knowledge database, and build an AI assistant that understands your notes and documents using Claude Code. Create your own workflows to automate repetitive tasks, completing a knowledge system where your daily work and learning compound over time and transform into your own unique expertise.

Have you ever wished you had Iron Man’s perfect assistant, JARVIS, too…?! Create JARVIS for everyone to help you work smarter!

The latest trend in generative AI: AI agents! How to stay ahead with Cursor, which handles all your development tasks, and MCP, which expands its functionality!

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.

[Problem-Solving Q&A with McKinsey Alum Jaesung Kim: We'll Solve Your Problems Together] Required! Prerequisite Course: Problem-Solving & Research Masterclass with AI by McKinsey Alum Jaesung Kim https://inf.run/LmvrD 'Forget theory-only lectures!' A magical solution video that solves real practical problems instantly on the spot! This is a video series where Jaesung Kim, a McKinsey alum and AI expert, meets with individuals one-on-one in a Q&A format to structure and solve your problems. From career paths and minor concerns to massive topics like AI that's shaking the world and improvement directions for entire industries! Videos will be uploaded in a format where each episode can be purchased individually. Paid course students will have the opportunity to participate through quarterly drawings of selected participants! (The more diverse courses by Jaesung Kim you take, the higher your chances of winning!) [Concept] This is a one-on-one Q&A format where an industry expert and strategy expert meet to approach the answer together. Participants have been extremely satisfied. (You can see and hear this in their testimonials!) The key to this video series is that strategy expert Jaesung Kim doesn't receive the topic in advance, but through strategic questioning and answering, they get closer to the solution together. Without relying on intuition and experience, but based on strategy and structuring, experience the magical solution that naturally makes you go "This actually works?" hahaha The free version (~10 minutes) will be available to everyone, and the full version will be available to Inflearn course students or YouTube channel [Jaesung Kim's Problem Solving] 'Premium Membership' subscribers. If you'd like to participate, please send an email to jaesung_kim@jcurvepartners.ai with the subject line [Coffee Chat Application] In the email, please include your name, age, contact information (mobile number), occupation and years of experience (students are welcome), detailed reasons for applying, and attach a screenshot of your enrollment in Jaesung Kim's Inflearn courses. Winners will be contacted. (Personal information of non-winners will be immediately discarded after 3 months) When appearing in the video, using a pseudonym or not revealing your company name is possible, but if you wish for face blurring, voice modulation, or other modifications, participation is not possible. By consenting to video recording, you are considered to have agreed that the video may be reprocessed and used on Inflearn and Jaesung Kim's YouTube channel.

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.

Even if AI quickly generates an SQL draft, people must judge the table structure, relationships, performance, and data consistency. Using MySQL and DBeaver, you will gain hands-on experience with everything from tables, columns, data types, PKs, and FKs to DDL, database modeling, SQL fundamentals, indexes and EXPLAIN, and transactions, learning the standards for reading and validating AI-generated results.

The starting point for a successful AX (AI Transformation) is not technology, but the leadership's understanding of AI. This course is designed to help executives grasp the overall flow of AI easily and clearly, while covering ways to maximize business productivity through the familiar Google Workspace and Gemini. Moving beyond mere theory, we provide 5-minute hands-on tasks for each session and a 1:1 customized online meeting (30 minutes) with AX Cody to systematically guide your company's tailored AI adoption strategy.

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.

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.

Customer analysis completed with Excel and Orange, from cross-selling to A/B testing and churn risk management all at once

Automate YouTube Shorts creation with AI!! Learn how to automatically create YouTube Shorts using n8n from scratch. We will personally build a workflow that handles everything at once: Text → Image/Music → Video Creation → Uploading. Practice includes distinguishing between test/production modes and tips for saving costs. By the end of the lecture, you will complete 3 automation templates that can be used immediately. We will learn step-by-step, starting from node placement, so you can follow along even without coding knowledge. Join us in automating AI YouTube Shorts production!