AI Tools College Students (Learning and Research) Should Definitely Know: Part 10 — GitMind AI (Mind Maps) (Final)

This course covers the basic concepts and applications of SciSpace, an AI tool that supports university students’ learning and research activities. You will learn the theoretical background of AI’s history and characteristics and practice the key features of the SciSpace platform. You will also learn how to use AI for academic research, including paper discovery and analysis, enabling you to build an efficient research environment.

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.

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)'.

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

How to Speak English Like a Native While Saving Millions of Won on Academy Tuition: Study Not Just Speaking, but Reading + Writing + Listening + Speaking with an AI Agent!

These days, it's become so famous that you can't afford not to know about it - Nano Banana? Gemini 3.0? In this course, you can learn to handle everything with the Gemini API.

The most rapidly emerging task automation tool recently is 'Claude Code.' Through Claude Code, you can deploy AI agents within your computer that work exclusively for you and create a system where repetitive tasks are assigned to the AI one by one. Try automating 100% of the once-exhausting tasks like PPTs, reports, and Excel work.

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.

Learn how to structure diverse data—including students’ grades, school records, and areas of interest—using the AI-SPARS tool, and leverage an LLM to design everything from major exploration and college/admissions strategies to personalized roadmaps. Rather than simple Q&A, you can immediately apply in practice a systematic AX-style career and college counseling process that progresses from Profile-Interview-Major-College-Admissions Track-Gap-Roadmap-Smart Report-Portfolio.

Your AI is no longer in the cloud. It runs directly on your laptop. Learn how to build a completely local Private AI environment using LM Studio and Ollama—for everything from data processing and document analysis to code generation. With no security concerns, no costs, and greater speed— move from simply “using” AI to “putting it to work” yourself.

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.

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

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.

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.

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.

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.

Many people want to create dog videos with AI but don’t know which tools to use or feel overwhelmed about how to write prompts. Designed for beginners, this course focuses on the practical process of creating actual results rather than complex theory. Using a dog interview video as an example, it explains the key steps—from image generation and prompt writing to video production—so you can learn them easily and quickly. Although the course is short, it covers only the parts that beginners find most confusing, helping you understand the overall AI video creation process and apply it to creating your own content after completing the course.

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.

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