This course is designed to use only personal PCs and laptops. You can directly implement CI/CD automation processes by applying GitOps methodology in a k8s environment without using cost-incurring cloud environments like AWS or GCP.

For the sole purpose of passing the exam, we have summarized and organized the key contents of each exam area to prepare for the AWS (AWS Certified Solutions Architect-Associate) certification.

This course will teach you how to compose in Jetpack. You will learn the core ideas of compose, how to manage state using compose, and how to compose screens.

This course will teach you how to use authentication, database, storage, and FCM provided by Google Firebase. In particular, FCM is a core service of Firebase used by most apps for server push.

This course will teach you about networking, data persistence, and location utilization, which are essential for Android apps. These three features are implemented so frequently that it is hard to find an app that does not utilize them.

This course will teach you how Android components work and how to use them. The core components of Android apps are components. If you develop apps without a proper understanding of components, there will be more than one or two areas where you will get stuck.

This course will teach you the Jetpack library's views for creating various screens for real-world apps. The screens of real-world apps are diverse and complex, so they cannot be developed using only platform APIs.

This course covers the basics of Android app development. No matter what app you develop or what features you implement, you cannot develop without understanding the content of this course.

Through this lecture, I hope to understand the core of the Kotlin language and avoid the mistake of being blocked by the language when developing Android apps.

Through this course, you can understand Android features and set up a development environment to take your first step as an Android app developer.

You can learn the skills and know-how needed to improve work efficiency by utilizing Open API and Python.

This course is a direct lecture by the author based on the book "Python Quick Start - Python for Work - Ruby Paper (2023/04)". This course is a course to learn the basics and usage of Python, which is known to be easy to learn, so that even non-majors can use programming in real life or work. You will learn Python programming methods through real business cases rather than grammar-centered ones, and you will be able to increase the efficiency and reliability of your work by automating various business processes including HR and finance.

This course teaches you how to analyze and visualize data using pandas, Python's powerful data analysis library.

Leveraging Python's basic syntax and popular libraries Auto-generating Python syntax and library code using ChatGPT

No more 'Question - Answer - Read-through' explanations! We explain all the knowledge related to how to solve AWS SAA certification exam questions!

Through this lecture, even non-majors can fully understand the concepts and operating principles of the ORM module, which is the core of Spring.

This course will enable even non-majors to develop and operate Spring MVC-based web applications.

Through this lecture, even non-majors can fully understand the concepts and operating principles of the MVC module, which is the core of Spring.

Through this lecture, even non-majors can fully understand the concept and operating principles of AOP (Aspect Oriented Programming), a core module of Spring.

Through this lecture, even non-IT majors can fully understand the concept and operating principles of IoC (Inversion of Control), the most core module of Spring.

We will apply it in practice by crawling sites such as Naver, Amazon, Twitter, YouTube, Facebook, Instagram, and unsplash.com.

This course is designed for beginners and consists of easy explanations and various hands-on projects. It covers data collection using web crawling and LangChain tools, and summarization, extraction, sentiment analysis, and recommendation systems using LLM.

Python Crawling Master. This one is all you need for everything from installation to application. I've packed in only the essential content for real use.

With easy explanations and various practical exercises, you can learn web crawling and website automation, and learn various applications such as website creation and ChatGPT usage.

This course teaches you how to analyze and visualize data using pandas, Python's powerful data analysis library.

This course delves deeper into the program or file structures that we take for granted or commonly encounter, using Python.

You can learn the skills and know-how needed to improve work efficiency by utilizing Open API and Python.

In this class, you will learn techniques for retrieving (crawling) and processing data from various operating sites using Python, and apply them directly to various examples that you may encounter in the field. Through this, you will learn techniques that focus on solving practical problems based on an understanding of the basic principles of how the web works, rather than one-dimensional task automation by copying and pasting given codes, and accordingly, you will be able to collect and process data from any site in the future. You will also learn how to resolve various exceptions that occur in this process with code, and ultimately, you will be able to solve and automate various problems that occur in daily life with programming thinking.

Build basic R programming skills and learn basic crawling techniques. We will explain each line while writing the code yourself.

News crawling in the automation lecture... Are you bored? This is a lecture on developing an automation program that will make you an Instagram influencer.

Learn how to build a real-time fire detection system using Next.js, YOLOv11, and FastAPI.

Hackathon and Project Introduction, Now Start with Arduino, Python, and Flask. Let's build a framework for hackathons and projects by creating cool projects together.

Online bootcamp in Jeju! Create your own service quickly! :)

This lecture is a lecture on the backend part of the [Web Development Full Stack Course] lecture series for training full-stack web developers. This lecture is based on the contents of the instructor's book <A Week Before Investing in a Node.js Project>.

Learn Python web development A to Z while making it! Learn everything from web basics to blog development and deployment all at once.

Let's implement a web service modeled after Pinterest's unique card-type layout design using Django, Python's representative web framework.

With Python Quant Investment, you can create investment strategies based on data and invest according to the strategy. You can implement various asset allocation strategies and ultimately create your own investment strategy.

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

Learn to implement Telegram, Slack, KakaoTalk, and Discord bots with Python, exploring each service's features via various examples.

We will develop a web app that collects data using concurrent/parallel programming in Python, loads it into MongoDB, analyzes it, and visualizes the collected data using FastAPI, a modern web framework. In the process, you will learn and understand Python concurrent/parallel programming using coroutines, multi-threading, and multi-processing, and understand how to use them to improve Python's performance. We will help you apply Python concurrent/parallel codes directly to your work. We will not only teach you how to develop and end, but also how to deploy and operate an actual app on the AWS cloud.