[Lv.5] SwiftUI with AI - Building AI Apps with Apple Intelligence

This course provides a systematic way to learn SwiftUI networking by diving deep into Combine and Async, the core of SwiftUI network communication, based on real-world projects and the latest updates. (📌 All lecture material PDFs and practice code files are provided)

A practical, in-depth course on core SwiftUI animations (Spring Animation & Transition), systematically teaching 9 real app screens & interactive UI/UX. (📌 All lecture PDFs & practice Code files provided)

This is an intermediate SwiftUI course that will help you apply more advanced features to your iOS app, after you have mastered the basics of SwiftUI. (📌 All lecture materials, PDF and practice code files are provided)

This course is designed for those who use AI but are confused about how much they can trust it. It covers how to use AI in your work or creative process without overdoing it, ensuring it provides actual value. Rather than requiring professional development knowledge or complex tools, it focuses on how anyone can effectively integrate AI into their own workflow. Instead of teaching complex prompt engineering, the course focuses on the mindset of **knowing when to use AI and when it's better not to**, as well as **how to verify and refine AI outputs** rather than trusting them blindly. Through this course, you will establish criteria for using AI not as an automation tool that replaces everything, but as a **practical partner** that helps organize your thoughts and assists in your work.

This will be the definitive guide to Claude Code. This course dives deep into how and why Claude Code works, teaches you how to directly apply the components of harness engineering, and even dissects actual production code. Take the know-how of a developer with over 10 years of experience and transform into a key talent in the era of AI agents.

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.

■ Course Overview Are you facing any of these challenges? - Spending too much time creating presentation materials, leaving no time for other tasks. - Feeling uncomfortable with design work in PowerPoint or Canva. - Wanting to create easy-to-understand slides but lacking confidence in structure and visual presentation. - Interested in AI tools (e.g., Gamma or felo) but unsure which one to use or how to use it. - Wanting to create high-quality presentation materials that convince clients or supervisors in a short amount of time. This course is for you. In this course, you will learn how to use the AI presentation tool "irusiru" to create high-quality, easy-to-understand slide decks in a short time. We will compare it with tools like Gamma and felo, highlighting irusiru's unique strengths and the specific scenarios where it excels. Reduce the time spent worrying about design and simultaneously improve your work efficiency and persuasive power. The main contents of the course are as follows: - What is irusiru? Basic functions and differences from other tools. - How to design the optimal slide structure based on your objective. - Steps and practical tips for creating materials using AI. - Practical Session: How to create presentation materials using irusiru. ■ What You Will Achieve By taking this course, you will: - Significantly reduce creation time by utilizing AI-powered automatic slide generation. - Be able to create high-quality slide materials in a short time using irusiru. - Understand the differences between irusiru and other tools like Gamma or felo, and be able to choose the best tool for your purpose. - Reduce the burden of creating presentation materials and improve overall productivity. ■ Who This Course Is For - Business professionals struggling with the excessive time it takes to create presentation materials. - Non-designers who are not comfortable with design work. - Business professionals looking to streamline daily tasks using AI tools. - Side-hustlers and freelancers wanting to improve the efficiency of creating client materials. ■ Requirements - Basic computer skills and internet literacy. - Ability to use a web browser and perform Google account logins. - While experience creating courses on Udemy will help with understanding, beginners are more than welcome. I look forward to seeing you in the course! Hiroshi Wada

How to easily create games with AI and monetize by launching your game on the Toss app with 30 million users

From coding basics to launching your own app all at once?! The App Build All-in-One, connecting fundamentals and practical application.

Complex SwiftUI state management, Create clean and robust apps with TCA (The Composable Architecture). Learn the essentials quickly with practical project examples.

"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.

Feeling overwhelmed by where to start with AI auditing? AI has moved beyond a mere technology trend and is rapidly expanding into corporate decision-making, workflow automation, customer service, recruitment, security, and risk management. However, compared to the speed of AI adoption, not many people systematically understand questions like: "Is the AI being properly controlled?", "Can we trust the AI's judgment?", or "What risks could arise from the data, models, and operational processes?" In particular, those working in IT auditing, security, internal control, and project management often face these concerns: - How does AI auditing differ from traditional IT auditing? - Is it enough to just look at the code for an AI model, or must we examine the data and training process as well? - How do AI governance, risk, bias, explainability, MLOps, and incident response connect to one another? - Where should I start to understand the concepts covered in AI auditing certification courses like AAIA from a practical perspective? This course was created specifically to resolve this sense of uncertainty. For about 20 years, I have gained experience in IT service planning, development, PM, collaboration platform operation, groupware construction, chatbot service planning, and security and audit-related tasks. I have firsthand experience in how systems are planned, developed, and operated in actual organizations, and how failures, changes, security, and user requirements are interconnected. Furthermore, I have synthesized the perspectives of IT auditing and AI auditing through CISA and AAIA study programs. In this course, rather than diving deep into complex AI technology through math or development, I focus on the core concepts that auditors and IT practitioners must understand. We will examine AI systems by breaking them down into the flow of data, models, operations, security, governance, risk, and audit procedures, and summarize what controls and checkpoints are required at each stage. Through this course, students will understand that AI auditing is not simply "evaluating AI," but rather the task of inspecting governance, risk, and control systems to ensure that AI is used safely and responsibly within an organization. This course is suitable for: - Those new to AI auditing. - Those in IT auditing or security who want to expand into the AI domain. - Those who want to organize AI governance and risk from a practical perspective. - Those who want to grasp the overall concepts before starting AI audit-related studies such as AAIA. Upon completing the course, you will be able to answer the following questions yourself: - What components make up an AI system? - What should an AI auditor check during the data, model, and operation stages? - Why are AI governance and Responsible AI important? - How are AI risk, bias, explainability, privacy, and security connected? - What perspectives and evidence should be included in an AI audit report? In the rapidly changing era of AI, the ability to manage and inspect technology to make it trustworthy is just as important as the ability to use it well. This course is an introductory program for those who want to understand the big picture of AI auditing step-by-step from the beginning. Let's build the first standard for looking at IT and AI from an auditing perspective together.

Explore → Plan → Implement → Commit. Master a proven AI development workflow with Claude Code. Learn everything from MCP and sub-agents to prompt engineering through 23 missions, and complete 3 real-world projects.

You can transform your ideas into beautiful presentations in just a few minutes. No more spending hours struggling with slide design. With GAMMA's AI technology, you can dramatically improve your content creation process.

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

: "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.

This course covers essential CS knowledge for Claude Code AX development. It is a lecture designed for easy understanding through interactive teaching materials.

You will understand the present and future of AI technology, experience the testing process of AI models such as machine learning, and learn the role of a tester. You will gain a broad range of knowledge, from establishing AI-based system testing strategies to designing and executing test cases, as well as utilizing AI for test support. This course is based on the ISTQB AI Testing syllabus and provides an opportunity to perfectly prepare for the ISTQB AI Testing certification exam.

How long will you keep struggling with repetitive daily research and document writing? I, too, was an ordinary office worker who worked overtime every day trying to find key insights amidst an overflow of information. However, after integrating Gemini 3 into my workflow, I experienced a significant increase in work speed. Boost your productivity by utilizing Gemini in your tasks.

This course trains your frontend system design mindset through real-world service cases such as Threads feeds, Amazon shopping carts, Netflix streaming UI, Google Docs collaborative editing, Micro Frontends, Agentic UI, and Observability.

This course covers everything from core recommendation system algorithms to practical implementation. - Content-based filtering - Collaborative filtering and deep learning-based recommendation model implementation - Two-step recommender systems implementation - Hands-on practice using PyTorch/RecBole - Industry know-how and recommendation result visualization

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

Messy code, a flood of requirements... If you're looking for a breakthrough with AI, Learn how to become a "high-performing developer" by leveraging AI in legacy environments, taught by the former VP of Engineering at Toss Payments. Legacy code isn't going anywhere, even in the age of AI. It’s no exaggeration to say that every company has legacy code, unless they were founded today. So, how should we utilize AI in this reality? In this course, the former VP of Engineering at Toss Payments, who led a large-scale payment service organization, demonstrates firsthand how to work effectively using AI in legacy environments. This isn't just a course about how to use AI or basic coding skills. The goal is to help you develop your "critical thinking" as a developer and truly understand what it means to work effectively.