We will develop a mobile portrait-oriented idle RPG game from start to finish using Claude Code, Vite, TypeScript, and HTML5 Canvas. This is a practical web game development project that implements core game systems such as auto-battle, gacha systems, and equipment enhancement step-by-step, with the goal of being ready for a future Google Play Store release.

Complete a Match-3 game by connecting Unity and Claude Code via MCP, allowing you to request development from AI even without coding knowledge. You can experience the entire process of practical game development, from environment setup to game system implementation, mobile optimization, and ad monetization.

We will implement player controls, animations, and an attack system using Claude Code, and develop boss AI detection, pursuit, attack patterns, and phase transitions using the Behavior package. We will guide you through a step-by-step tutorial.

Learn how to create online games more easily and quickly in the AI era.

Turn your game development dreams into reality. This comprehensive course is designed for learners of all levels, from beginners new to Unity to developers looking to implement multiplayer games. More than just a simple tutorial, you will systematically learn game development from A to Z by building a shooting game.

We structured the timeline feature, especially useful for visual novels, emotion-driven 2D games, and cinematic event scenes, for beginners' easy and practical learning.

Creating a simple Omok game using Unity and a C# server

An example-centered lecture that focuses on the core and provides practical training

This is a lecture where you can study Unity tile map technologies.

This is a course that covers everything from the basics of Unity Engine to creating a shooting game.

Learn the contents by creating a 2D RPG using Unity.

Learn the basics of React Native to build your own apps or dApps that can later connect to the blockchain.

Through this course, students will gain the skills to study Unreal Engine in C++ and create a portfolio.

Through this course, students will gain the skills to study Unreal Engine in C++ and create a portfolio.

Through this course, students will gain the skills to manipulate Unreal Engine in C++ and create a portfolio.

This is a lecture on creating a console shooting game using the C language. Basic knowledge of C language programming is required.

This course enhances your skills by creating a Katana Zero-style game using the Unity engine and C# programming. The basic version focuses on fundamental content, making it easy to follow along if you have prior experience with Unity.

[Strategic Roadmap for System Control and Prevention of Cognitive Atrophy in the AI Era] 1. Introduction: Technical Initiative and Strategic Command (Strategic Command vs. Passive Dependence) A core insight derived from the past 40 years of automotive R&D and corporate management is that entities that lose technical control are highly likely to devolve from beneficiaries of a system into its dependents. In particular, the proliferation of Artificial Intelligence (AI) technology—comparable to high-performance engines—presents a crossroads: it will either leave humans as "passive passengers" of technology or allow them to leap forward as "strategic commanders" who master the system. The indiscriminate dependence on AI observed today is accelerating "Cognitive Offloading," a phenomenon where humans entirely delegate their inherent thinking and analytical mechanisms to machines. This induces the deactivation of the brain's Executive Control Network (ECN) and carries the risk of a structural crisis known as "Cognitive Atrophy," leading to the functional decline of the frontal lobe in the long term. This course aims to present a strategic methodology to strengthen human cognitive capabilities and safeguard intellectual sovereignty in response to this intellectual crisis. 2. Five Core Methodologies for Safeguarding Cognitive Sovereignty ① Maintaining Cognitive Plasticity and Designing Intentional Cognitive Load (Cognitive Gym) The convenience of AI, which provides immediate and seamless answers, can lead to a disconnection in thinking and the omission of critical review processes. To prevent this, it is necessary to design intentional "Cognitive Friction" within work processes. By counter-utilizing AI's automation functions to forcibly delay and deepen the human thinking process, advanced training must be conducted to stimulate neuroplasticity and raise the threshold of thought. ② Establishing an Adversarial Verification System Based on Multi-Agent Systems (MAS) Human cognitive systems are susceptible to "Automation Bias," the tendency to uncritically accept AI outputs. To offset this bias, it is effective to operate a "Critique Agent" or a virtual "Red Team" that analyzes and attacks the vulnerabilities of the logic, separate from the primary model that follows the user's instructions. This forces the process of building defensive logic, thereby activating "System 2 (deliberative thinking)" as defined by Daniel Kahneman. ③ Implementation of Literacy-Based Dual-Track and RQTDW Learning Methods The ability to verify digital tools is directly proportional to one's analog foundational thinking system. While maintaining literacy to deeply grasp the context of text, it is recommended to internalize the 5-step RQTDW roadmap: Read (Deep Reading): Perform a multi-faceted identification of the source of information. Question (Questioning): Pose critical questions regarding logical consistency and the validity of premises. Think (Confronting Contradictions): Analyze and contemplate trade-offs and logical gaps between information. Discuss (In-depth Discussion): Diversify points of contention through virtual or actual discussions. Write (Reconstruction): Refine the results of expanded thinking into human-specific language for systemic internalization. ④ Applying the Sandwich Workflow to Clarify Accountability Delegating the entire work process to AI poses a high risk of cognitive paralysis; therefore, it is essential to establish a rigorous workflow that structurally separates the roles of humans and AI. Context Design Phase (Top Bun): Setting the purpose of the task, imposing constraints, and designing the overall architecture must be performed under human leadership. Data Processing Phase (Meat): Tasks involving repetitive and large-scale resources, such as calculating vast data, sorting, and drafting, are delegated to AI. Final Verification Phase (Bottom Bun): Ethical judgment, precise cross-referencing of facts (Fact-check), and final value attribution are returned to the human domain of responsibility to ensure system stability. ⑤ Hallucination Control and Strengthening Epistemic Boundaries via the SIFT Model AI possesses the attributes of a "stochastic parrot," combining tokens based on probabilistic frequency without a substantive understanding of meaning. Therefore, one must be wary of the "illusion of knowledge" created by AI's fluent output. To this end, a 3-step fact-checking protocol and the SIFT model must be strictly applied in practice. The habit of "Lateral Reading"—tracking original sources and contrasting them with external data—becomes a key mechanism to prevent intellectual free-riding on technical convenience. 3. Conclusion: The Strategic Mission of the Hyper-Intelligent Helmsman While the phenomenon of intelligence is manifested through engineering design, the core agent that controls it in a meaningful direction and creates business value remains rigorous human thinking. This masterclass is designed to ensure that students acquire the capabilities of a "Hyper-Intelligent Helmsman" who controls the powerful power source of AI and designs organizational systems. Strengthen the cognitive muscles of individual members and actively respond to technical challenges. When rigorous engineering control is combined with advanced cognitive abilities, AI will finally function as a strategic asset that drives the sustainable growth of both members and the organization.

Learning Unity Programming with Algorithms: From Pathfinding to Fog of War

Even those who know nothing about coding will be able to create their own automated stock trading program by giving commands to AI in Korean!

We will cover only the essentials, from implementing a patch system from scratch, using Unity's representative asset management system, Addressable.

If you've completed the basics of Unity and want to write more efficient code, this course will help you move from beginner to intermediate level.

Currently, Android development can be done using both Java and Kotlin. You can develop the same Android applications regardless of which language you choose. This course covers most aspects of Android application development, from basics to advanced topics, and all code is written using Kotlin starting from the fundamentals. Additionally, it utilizes Google's latest UI library, Material 3. This course involves completing three projects throughout the entire Android curriculum. By working on these projects, you can master advanced techniques actually used in the industry, such as Hilt, Retrofit, Room Database, and MVVM. Furthermore, you can increase productivity using AI by performing "vibe coding" with Gemini within the Android development tools. Soft Campus will always strive to provide the most up-to-date lectures.

For those of you who have completed intermediate SwiftUI, it is now time to integrate AI into your apps. Complete an on-device AI app that runs locally without an internet connection using Apple Intelligence and the FoundationModels framework.

Learn how to design various shaders and visual effects that can be used in games using Unity 6 Shader Graph. This is a step-by-step lecture from basic to advanced techniques for beginners and experts alike.

: "From Mathematical Foundations to the Latest Models, Completing the Deep Learning Pipeline with PyTorch (44 Lectures in Total)" The era of simply learning how to call model.fit() is over. From the very basics of artificial neural networks—differentiation and gradient descent—to essential PyTorch techniques used in the industry, and CNN/RNN for handling image and time-series data! We will help you systematically master the entire process of deep learning. Go beyond analyzed data and step into the amazing world of deep learning, where artificial intelligence mimicking the human brain learns and makes decisions on its own.

In this course, you will build a system that directly parses DWG drawings in Unity and automatically converts them into actual 3D walls based on lines and polylines. After completing the DWG → 3D map automatic generation pipeline, you will also implement map editor functionality that allows you to freely place various objects on the generated space and save/load them in JSON/DB format. Finally, by integrating essential features used in real-world digital twins such as heatmaps, status displays, and real-time data reflection, you will complete a digital twin project from start to finish that can be immediately applied in industrial settings.

This course is designed for game designers who are unsure how to design enemy AI. We'll clearly break down pattern composition, behavior design, and difficulty adjustment methods in a designer's language—concepts that may have seemed vague before. After taking this course, you'll be able to independently determine 'what kind of enemy to design and why,' and communicate confidently with programmers.

Simple tutorials alone make it difficult to apply in practice. I will clearly pass on my professional know-how, covering complex state management and multi-agent design methods.

This course is a hands-on training program that leverages ChatGPT to analyze numerical and textual data and transform it into practical business reports, comprehensively covering everything from basic data structuring to pattern insight extraction, KPI analysis, automated customer feedback classification, and building automated templates for recurring reports, allowing you to develop both data interpretation and text conversion skills simultaneously. It maximizes learning effectiveness by providing data visualization hints and designing customized templates for teams and individuals in parallel.

"Life is short, you need Rookiss." In the first lecture of Rookiss's Pinpoint Lesson series - Introduction to Claude Code, you will easily learn the overall concepts related to Claude Code and agents through self-developed visualized teaching materials.

This course is an FPS game that runs on AR using Unity. You can learn about AR projects from AR settings to build and run.

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

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

You don't have to say "summarize this" every time. In this lecture, you will learn how to create your own AI agent in Antigravity and use it immediately without repetitive explanations. The course is practice-oriented so that even beginners can follow along. https://antigravity.google/download (You can download the Antigravity Editor here :))

"Beyond Data Analysis: From Predictive Model Design to Optimization (29 Lectures in Total)" Have you finished your data analysis but feel stuck when it actually comes to building a model? We help you fully master not just how to call libraries, but the working principles of each algorithm and optimal model validation strategies.

We are launching a "Complete Reading Challenge" for the book "AI Agent Engineering," a practical guide to building proactive agent systems using LLMs. This book covers the core components of agents step-by-step, from tool selection to orchestration (designing planning and execution flows) and memory management. It also explores how to scale into multi-agent architectures where multiple agents collaborate by dividing roles. Furthermore, it expands your perspective from "how to build" to "how to operate" by covering essential production-level topics such as reliability, security, and governance. Do you want to design agent systems that go beyond simple automation to operate safely and transparently according to human intent? Join the book and the challenge to discover a concrete roadmap for turning your ideas into production-level systems!