This is mission content for a development project. We provide a PRD planning document, Figma designs, and API endpoints so that you can practice by implementing a timer app called DevTime yourself. Make the knowledge you have learned completely your own by implementing a project at a level similar to an actual service 🚀

This course is not about non-developer office workers learning coding itself, but rather an education focused on developing the ability to solve business problems directly using AI agents. Previously, one had to rely on IT departments or outsourced development when problems arose, but we are now in an era where you can design alongside AI and create immediate prototypes to implement task automation. The core competencies required for this are problem definition, establishing solution strategies through AI collaboration, and the ability to build the necessary tools yourself. In particular, by utilizing Codex CLI, existing ChatGPT users can practice agentic coding immediately without additional costs, allowing non-developers to quickly gain practical experience. The curriculum is structured step-by-step, covering everything from understanding changes in the AI agent era to development basics, terminal usage, Codex CLI-based agentic coding, problem structuring, Django web app development, and the creation of actual task automation apps. Learners can secure task automation capabilities by directly building applications applicable to real-world work, such as To-Do lists, checklists, schedule management, meeting minutes, and summarization tools. The entire course is designed as a modular micro-learning system composed of short units, allowing for rapid learning of necessary content and immediate reuse during work.

Document → Code Automation. Stop typing prompts and let the system do the work. Build your own AI development agent with Skills, Sub-agents, and Commands, and complete monetization services through 5 real-world projects.

AI writes on Slack and Notion for me? Work smarter with MCP, which goes beyond the limits of existing AI!

Copilot Chat will become more than just a simple AI assistant - it will be your reliable work secretary that maximizes your productivity and creativity. In this course, learn Copilot Chat's core features and usage methods, practical cases that can be applied immediately to real work, and customized tips tailored to each task, and start experiencing how your way of working changes with Copilot Chat!

Artificial Intelligence is transforming Human Resources faster than any previous technology shift. Recruiters and HR leaders who understand Generative AI today will lead the workforce of tomorrow. This course is a complete, practical guide to using Large Language Models like ChatGPT, Gemini, and Claude in recruitment, screening, onboarding, workforce planning, compliance, and HR operations. You will not just learn theory. You will build real AI-powered HR systems. What Makes This Course Different This program goes beyond “AI basics.” It teaches structured prompt engineering, reusable prompt patterns, custom GPT creation, and real HR automation workflows. You will learn how to: Understand Large Language Models and how they work Control randomness and reduce hallucinations Use proven prompt patterns for HR use cases Build a Job Description Creator Create Resume Screening GPTs Automate resume screening using Gemini Develop Candidate Evaluation GPTs Build a Background Verification automation system Create an AI onboarding chatbot Detect bias in candidate evaluations Implement human-in-the-loop screening systems Conduct AI audits and risk assessments Align AI use with employment law and data privacy regulations This course combines technical clarity with HR-specific application. What You Will Gain By the end of this course, you will be able to: Automate repetitive HR tasks Screen resumes faster and more consistently Improve quality of hire using structured evaluation frameworks Reduce bias using AI-assisted evaluation methods Create personalized learning and growth plans Forecast employee growth and readiness Improve performance review documentation with citations Ensure compliance with data protection and employment laws Build custom HR GPT tools for your organization Make strategic, AI-driven workforce decisions You will move from being an AI observer to an AI implementer. Why You Should Enroll AI is no longer optional in recruitment and HR. Organizations are actively integrating Generative AI into hiring, screening, and workforce planning. Professionals who cannot use these tools effectively risk falling behind. This course gives you: Practical, ready-to-use HR prompt frameworks Step-by-step demonstrations of AI tool implementation Ethical and legal risk management guidance Real-world HR case studies A future-ready HR skillset Whether you are a recruiter, HR manager, talent acquisition specialist, HR business partner, or HR leader, this course equips you with the skills to confidently integrate AI into your workflows. The future of HR belongs to professionals who understand AI strategically and responsibly. Enroll now and position yourself at the forefront of AI-powered Human Resources.

Innovation in Work Efficiency and Creativity – Agentic AI AI is now evolving beyond simple automation into a new stage where it can judge and execute on its own. Agentic AI is at the center of this change, serving as a core technology that helps businesses and organizations operate smarter. In this course, we have organized the content clearly and simply so you can understand how Agentic AI connects decision-making with execution and how it can be applied to practical work. Discover the essential knowledge for every professional preparing for the future right now.

The GPT course that recorded 490,000 YouTube views has returned with a fresh update featuring Copilot. This course solves the concerns of office workers who are overwhelmed about where and how to start using ChatGPT and generative AI in their work. Through hands-on practice covering everything from understanding concepts to prompt design, image and data analysis, automating reports, Excel, and PPT, and utilizing Copilot and AI agents, you'll learn practical usage methods that can immediately reduce your actual company workload and improve performance.

: "From environment setup to 7 practical projects, a deep learning full-stack journey across data domains (35 lectures in total)" Go beyond simply following example code and learn how to cook various types of real-world data using deep learning. Starting from building CPU/GPU development environments, you will cover waste sorting classification (Image), stock price prediction (Time-series), ECG anomaly detection (AE), animation stylization (GAN), medical image segmentation (U-Net), and sound classification (Audio)! Systematically master core deep learning algorithms through hands-on projects.

A selfish era where only those who know how to properly utilize AI can generate profit. Essential web development concepts for profitability and a realistic guide you must know to 'properly' direct AI coding agents. From the mindset of coding without writing a single line of code to realistic methods for building a product with zero budget, and even practical details on business registration and tax processing. This is an AI-driven profitable web programming guide filled with insights gained from the actual field.

"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.

Understand Transformer-based LLM architecture and GPU utilization strategies, and experience direct serving through vLLM. This course covers the entire process of building an AI system pipeline, monitoring, and multi-GPU utilization, allowing you to learn intuitively through illustrations and hands-on practice without complex formulas or coding processes.

Don't memorize commands. Just say, "Do this." Even without programming experience, let's have Claude Code perform 5 tasks. From file organization and document writing to data analysis, automation, and even web pages. The only payment required for this course is Claude Pro ($20/month). All other tools used are free.

Are you confused about which technology trends really matter among the flood of information? We've analyzed global reports from Gartner, Microsoft, and others to clearly explain 10 key technologies (multi-agent systems, physical AI, AI security, etc.) that will define 2026.

We explore how to create an AI judge by combining knowledge graphs, reasoning systems, and various agent frameworks such as CrewAI, LangChain, and AutoGen, which enable the implementation of LLM-based multi-agent technology.

We will teach you about AI, especially Generative AI like ChatGPT, by learning about it from various angles and showing you how to use AI tools that can be applied in practice. It consists of content such as marketing planning utilizing Generative AI, and an introduction to and utilization of Generative AI tools helpful for marketing content development (ChatGPT, image Generative AI).

You can implement hands-on practice of infinitely generating cryptocurrency trading signals automatically using ChatGPT and Python, and backtesting and validating them. Additionally, you can learn how to combine all the strategies automatically generated by AI into a single strategy and apply it to actual trading.

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!

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.

How to Build an Efficient Startup Workflow System with Just Notion 🧑🏻‍💻 (Practical Workflow Templates Provided by Practitioners)

The era of creating designs one by one is over. Experience the speed of turning "thoughts" into "results" with Canva AI.