Android and iOS app development using machine learning models

Let's design, implement, and develop while learning the basic and object-oriented concepts of the C++ language!

Let's look into how to deploy Abyss for non-majors!

Modern C++ Programming based on Object-Oriented Concepts for Computer Science Majors

Let's build a solid foundation in MATLAB and apply and understand the basic concepts of programming!

Let's understand the major algorithms of machine learning and deep learning, and get to know artificial intelligence!

Basic manners, etiquette, and communication skills training to foster global leaders leading the era of the Fourth Industrial Revolution.

Let's learn HTML, CSS, Javascript, and jQuery and create a webpage!

Let's use the R language, which processes data easily and conveniently, to help even non-computer science majors develop their skills in utilizing computer programs related to their own fields!

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!

Let's create simple and fun 3D modeling with Tinkercad!

Let's collect and refine data through public data, web scraping, and more, and perform exploratory data analysis!

Let's build the skills to develop web applications using React and cultivate the capability to apply them in practice!

Are you a digital talent interested in coding and development? Get started with block coding through Cospace!

Let's learn how to collect data from the web and create a supervised learning model for machine learning!

Let's collect, analyze, and communicate data using techniques that handle data 'appropriately' and 'fairly'!

Let's cultivate professional expertise in programming, algorithms, and statistical analysis!

Let's have fun coding with various cute robots using artificial intelligence!

It improves logical thinking skills, fosters the ability to understand how to use programming tools, and develops the capacity to design algorithms for problem-solving.

Let's learn various data structures and algorithms and develop practical skills by implementing them through programming!

Let's understand object-oriented concepts through Java programming and improve our program design and problem-solving skills!

Learn how to build deep learning models yourself using intuitive and Pythonic PyTorch. This reflects the latest PyTorch version.

This lecture is for those who have heard of the term deep learning but don't know where to start :)

This course provides essential knowledge needed to understand the structure and operating principles of various artificial neural networks and create good models.

We will teach you the latest development style from the basics to create an actual app step by step. For those who haven't found a proper lecture yet, we will provide a surefire way to create an app properly. We have created a lecture that contains as much detail as possible about every process from the basics to creating an app step by step.

ChatGPT is out. This has made it possible for people who don't know how to develop to create apps. If you have an idea but haven't created it yet, try it quickly!

You can learn the concepts of iPhone (IOS) game development by making your own version of the classic game, Brick Breaker.

Kotlin Programming Language, which you can learn by practicing with 76 examples. You have to develop in Kotlin starting tomorrow, but you don't have time to study the grammar? Let's quickly learn all the grammar of Kotlin with the examples provided in this lecture.

Learn about the data-related property wrappers that appear early in SwiftUI: @State, @Binding, .constant, ObservableObject, @Published, @ObservedObject, @EnvironmentObject, @Environment

Learn the basics of programming by creating a long-term game in Swift.

We will develop an iPhone-only RPG game using Xcode. We have prepared a lecture so that even those with no knowledge of app development can follow along.

Let's implement a deep learning framework directly with Excel! Let's solve supervised learning/unsupervised learning/reinforcement learning with the implemented framework!

This is a lecture covering LLM theory and practical examples based on <Large Language Models, Just the Essentials!> (Insight, 2025).

Learn about MAUI cross-platform development, which lets you develop and run Windows, macOS, iOS, and Android applications with a single code base.

This course introduces Firebase and teaches you how to create web and Android applications using Firebase's features.

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.

Learn Springboot + Android(Compose) RestAPI Board Creation Faster Than Anyone Develop a CRUD server with Springboot and create your own board with Android!!

Create an augmented reality AR app in the new SwiftUI environment. Create your own Snow app using ARKit, RealityKit, Core ML, etc.

This course is for anyone who is curious about developing test automation on Android and iOS devices. This course will enable you to perform automated testing on mobile devices.

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.

It’s okay if you don’t know how to code. This course focuses on the experience of using AI to build an ad-revenue-generating Android app from scratch and successfully launching it in just one day. Many people stop at these stages: “I built the app, but how do I monetize it?” “I tried adding ads but got stuck on AdMob, policies, and reviews.” “I gave up right before launch because of the privacy policy.” In this course, we will navigate through every "drop-off point": 👉 Idea → App Creation → Ad Integration → Store Launch Essentials → Actual Deployment. We let the AI do the work, and we make the decisions. The goal is to complete an app with a "functioning revenue structure" within a single day.