Build Apps with AI and Monetize Them: Practical Tips for Solo App Founders Generating 10 Million Won in Monthly Revenue

It provides step-by-step guidance through the entire startup process, from idea generation and business model development to monetization through feasibility validation and investment attraction strategies.

Do you want to succeed in the restaurant business in China? I'm revealing all the practical know-how of 'emotional management' that I've learned from directly operating restaurants in China for 15 years. In this course, you'll learn not just simple sales techniques, but management philosophy that captures customers' hearts and practical operational strategies for building regular customers without advertising costs. Atmosphere that's more important than the menu, staff management, regular customer systems, and localization points you must know in the Chinese market — With this one course, you can master the core of restaurant business success in China (overseas). ⸻ ✅ Recommended for: • Those preparing to start a restaurant business in China or overseas • Those who want to learn management methods that captivate customers through emotion • Those who want to know efficient store operation methods without kitchen staff, advertising costs, and labor costs

In this lecture, you will learn various functions required for app development, such as login processing, integration with camera/phone/text/email apps, automatic email sending, and remote storage through integration with API, using C# and Xamarin Forms.

From IBM's rise to dominate the mainframe computer market to Amazon's quiet profit in the cloud computing market, the real-life success and failure stories that are more dramatic than drama - The history of American IT told through stories

You can get started with desktop app development using Qt QML and C++. This course focuses on development targeting the Windows operating system. Development is also possible on macOS using the same methods.

This is a book talk for people who worry daily while creating products. Park So-ryeong, author of "Passing Through Failure," and Hyangro (Lee Dong-wook), CTO of Inflearn, discuss the decisions and concerns that product makers face every day, based on the growth and failures of Publy and Careerly.

The online course “AI Teammates Do It All” is a hands-on program that teaches you how to use AI not merely as an automation tool, but as an “AI teammate” that works alongside you on practical tasks. The course is structured around common real-world workflows, including market research, proposal writing, strategy report creation, brand content visualization, project promotion and operations, and follow-up management. Participants assign various AI tools—including ChatGPT, Perplexity, Copilot, Canva, Gamma, MiriCanvas, and Vrew—as planning partners, strategic research partners, design partners, and operations support partners, and complete actual work deliverables with them. Across 30 sessions, you will learn step by step, from the basic mindset for working with AI to practical prompt writing, market research, proposal and report writing, brand content creation, and project operations. By following the course, you can develop the AI collaboration skills to work on your own like an entire team.

Management of Technology = Management specialized in technology/engineering fields, Especially IT, computer field basic contents are explained easily with case studies.

Install DB and node express as backend directly and save and update data through Windows app and smartphone app with C#. Quickly learn how to implement chat function using socket!

In the AX era where AI technology and UX design converge, what strategies should product teams use to design customer experiences? A 17-year veteran senior researcher from a major corporation and knowledge sharer with a PhD in HCI will share insights based on the latest trends, use cases, and research findings.

This is a process of developing a practical web service in collaboration with AI agents based on TARS prompt engineering principles. You will gain full-stack development experience covering everything from UI/UX component creation to CRUD functions, API integration, and data visualization, ultimately completing your own idea as a viable MVP.

This course will help junior Flutter developers learn the essential knowledge needed to become intermediate Flutter developers in a short period of time.

How was a service that attracted 1.1 million visitors in just two weeks with zero advertising costs created? I’ll show you the entire process exactly as it happened: as a UX researcher with 8 years of experience, I turned an idea into a service in just 2 hours through vibe coding, then used real user behavior data to decide on the next experiments and monetization strategies. Ultimately, I’ll prove with real data from 1.2 million people that what matters isn’t the technical skill of building, but the ability to understand “what people want.”

We have entered an era where it has become incredibly easy for web developers (especially React developers) to launch apps. With Expo, you can release both Android and iOS apps even faster. Let's become developers who can quickly launch apps through Expo.

This is the definitive course on Claude Code. We’ll delve into how and why Claude Code works all the way to the end, teach you how to apply the components of harness engineering yourself, and even dissect publicly available production code firsthand. Take the know-how of a developer with 10+ years of industry experience and become a key talent in the age of AI agents.

When you use a chat-optimized LLM for classification, routing, and guardrails, it returns a string that you then have to parse again. This comes with hallucinations, type drift, delays of several seconds, and output-token costs. This course follows the architecture of Jev, TypeSafe’s first System One model: provide a state, and it returns typed decisions within a schema along with calibrated probabilities. The model does not generate strings. It covers, through concepts and code, why parallel sampling and RLCD (Reinforcement Learning for Calibrated Decisions) make those decisions fast, how to combine Choice · Score · Noul in a single request, and a hybrid approach that leaves structurally defined judgments to Jev and open-ended descriptions to an LLM.

This course teaches you how to quickly create various native app features for mobile environments using Javascript, a web service development technology, and walks you through the process of releasing them to the store.