Learn the basic concepts and features of Google’s generative AI, Gemini, and how to use it in conjunction with Google services. After learning about the history and theoretical background of AI, you will learn the basics of using the Gemini platform through hands-on examples that can be immediately applied to daily life and work. The course is designed to help a wide range of learners, including office workers, use conversational AI effectively.

This course introduces the basic concepts and key features of Perplexity AI and guides you in effectively using conversational AI search tools. Through examples from everyday life and university life, it covers practical methods you can use right away. You can improve the efficiency of information gathering by applying AI search tools to your learning and research needs.

Learn how to efficiently conduct research and organize information using Perplexity AI. Understand the basic concepts and features of AI, and develop your generative AI skills through hands-on examples that can be immediately applied to everyday life and work.

All lectures have been newly updated for June 2026, reflecting all the latest content. 5-Hour All-in-One Course → Apply directly to work with only the most essential services Practical AI Specialist Course → Step-by-step learning from sign-up to in-depth application Curated Essential AI for Work → Focus on core tools you actually use instead of 100 unused lectures Perfect Integration with Books → AI learning that can be utilized for a lifetime even without a textbook

Stop getting student-record planning. I’ll reveal the entire consulting playbook used by a college admissions consultant with 30 years of experience.

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.

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.

"Are you tired of repetitive daily tasks and expensive AI tool subscription fees?" This course teaches you how to create an 'Automation AI Agent' that will completely transform your work through intuitive 'Node' connections, even if you know nothing about coding. To solve the 'high cost' issue of existing tools like OpenClo, you will learn smart automation design methods where the computer quickly handles simple calculations and calls the AI only when absolutely necessary. From YouTube notifications and receipt bookkeeping to RAG document searching and automated email replies, build your own 24-hour customized AI assistant at almost zero cost through 9 practical examples!

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.

Create a wide range of design deliverables using ChatGPT Images 2.0, including logos, product photos, mockups, banners, wedding snapshots, wedding invitations, POP displays, menus, and product detail pages. This hands-on course teaches you how to write prompts to achieve the desired results and how to structure reusable templates.

Conversation loops, tool calling, permissions, prompt assembly — learn the core principles of Claude Code by visualizing them through 3D interactive materials. Translate the structure you understood from the materials directly into code to complete your very own 'Mini Claude Code (Harness)'.

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.

I’ll show you, through an actual work session building a to-do page from scratch, the process of requesting, checking, and revising that I refined after using more than 58.3 billion tokens with Codex. You’ll learn how to ask for the results you want without knowing all the code and how to directly verify the changes.

Without any installation or code, we’ll create everything in just 3 hours by telling Claude what to do: from a store introduction page → an order calculator → a store website with a real address → a site that accepts order requests.

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.

An AI that understands Korean well, handles long documents, and even carries out real-world tasks—that is exactly the direction Solar Open 2 is aiming for. This class provides an accessible explanation of Upstage’s Solar Open 2 technical report in the order of “Introduction → Design → Training → Evaluation.” Technical terms are explained through everyday analogies and visual materials, enabling even beginners to understand “what,” “how,” and “why” as one coherent flow.

Let's develop the ability to find rational decision-making models based on mathematical thinking by understanding various elements of AI and data, and solving real-world problems using ChatGPT and no-code programming!

For office workers unsure what to delegate to AI and how to instruct it, we provide practical guidelines based on experience with 16 scheduled tasks.

Understand Transformer-based LLM architectures and GPU utilization strategies, and get 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 utilizing multiple GPUs, and is designed to help you understand everything intuitively through diagrams and hands-on exercises—without complex formulas.

Let’s explore everything from data input to model modification, and learn about regression and classification models, which can be considered the starting point of supervised learning.