We design and implement AI agent systems that go beyond simple chatbots to perform tasks autonomously. From Sense-Think-Act loop-based architectures to LangGraph cyclic structures, RAGAS and LangSmith-based quantitative evaluation, and operational guardrails, you will complete your enterprise-grade agent engineering capabilities through hands-on practice of the entire process.

Integrate Claude Code into your terminal environment and provide the AI with project context using CLAUDE.md and Custom Skills, leveraging it as a true development partner. Go beyond simple code generation to master your AI engineering capabilities, covering everything from refactoring, MCP integration, and task automation to building real-world web applications.

We will study AX (AI Transformation) strategies that go beyond simply utilizing AI tools to fundamentally redesign an organization's work processes and decision-making systems. We will analyze AI transformation cases from global companies across various industries, such as retail, finance, and healthcare, and establish actionable strategies and roadmaps applicable to our organization.

This course analyzes the US-China currency hegemony competition, centered on dollar-based stablecoins and China's digital yuan. By systematically studying how changes in the global financial order in the digital currency era affect the domestic economy, financial markets, and individual asset strategies, it provides insights that can be immediately applied to practical work.

Learn the basics of visual thinking, a technique for quickly organizing complex information using text and drawings. From ideation to utilizing digital mind maps (Xmind), you will master practical thought-organization know-how step-by-step to enhance work productivity. Start as easily as learning a language and complete your visual thinking skills that can be applied immediately to daily life and work.

Understand the essence of data visualization as a balance between scientific accuracy and aesthetic expression, and systematically learn everything from color and symbology principles to graph design. By utilizing visual attributes based on cognitive science principles, you will complete your data communication skills to achieve reliability and persuasiveness in professional practice.

Learn the smart work mindset and practical skills needed to survive in a rapidly changing business environment. This course comprehensively covers essential work skills for modern professionals, ranging from how to use the latest productivity tools like ChatGPT and Notion to creative and logical thinking, time management, and leadership.

Learn the core concepts and operating principles of Physical AI, which moves beyond the screen to be implemented in robots, autonomous vehicles, and drones. Understand the sensing-perception-action mechanism, digital twin-based learning, and the importance of embodied data, while exploring the global technological competition and Korea's strategic direction through real-world cases in industries such as manufacturing, mobility, and agriculture.

Together with Professor Soon-chil Lee, South Korea's leading authority on quantum computing, you will systematically learn everything from the core principles of quantum technology to its business impact. Through the basic concepts of quantum mechanics, the operating principles of quantum computers, and industrial application cases, you will complete your quantum literacy to preemptively understand future technological changes and establish strategies.

Systematically learn the internal structure and operating principles of Apache Kafka, a core technology for real-time data streaming. From basic concepts to cluster construction, client development, and microservices application, you will acquire all the practical knowledge and know-how necessary to build the capability for stable Kafka operations.

We will examine the changes that AI technology has brought to the entire financial industry through various cases such as fintech, investment, credit risk, and fraud detection. Through hands-on practice using Python libraries, you will understand the application methods and strategic insights of financial AI and learn how to safely integrate generative AI into financial services.

Starting from installing MariaDB and understanding its structure, you will learn step-by-step from writing SQL queries and utilizing functions to joins and subqueries. You will master core practical features such as table design, performance management, backup, and recovery through hands-on practice, completing the practical skills necessary for database development and operation.

This is a practical clean code writing course for developers who have completed the basics of Python. You will learn specific methodologies for writing highly readable and maintainable code, and develop coding skills that can be immediately applied to real-world projects through the know-how of professional programmers.

Systematically learn Docker, a core tool for container-based application deployment, from the basics to practical application. Starting with Docker's basic structure and commands, you will develop practical skills that can be immediately applied to real-world tasks, including container packaging in microservices architecture environments, deployment automation, and standardization of production environments.

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.

In an era where flexible data processing beyond the limits of SQL is required, learn everything about MongoDB. From NoSQL concepts to installation, CRUD practice, aggregation pipelines, text search, and indexing, you will learn step-by-step and complete your practical skills through Python crawling integration and container environment construction.

In the era of AI and Big Data, are you utilizing your organization's data effectively? This course builds essential capabilities for reading and interpreting data, covering everything from the foundations of statistical thinking to the core principles of machine learning and deep learning. Grow into a practical leader capable of discovering patterns amidst volatility and making data-driven decisions.

This course is designed for those who are new to React, an essential skill in frontend development. We break down difficult concepts into easy-to-understand terms, allowing you to naturally master everything from the basic principles of React to practical application through hands-on learning. By addressing the common pain points where beginners often get stuck and providing project-based practice, we help you grow into a confident React developer.

This is a course on building your own stock and cryptocurrency automated trading programs using ChatGPT, even without prior coding knowledge. You will gain both AI development skills and financial investment knowledge through hands-on practice covering the entire process, from data collection to predictive model development, stock recommendation systems, and actual automated trading.

Learn how to reduce marketing risks through AI and efficiently execute the entire process, from branding and personalized marketing to content creation. From the basics of prompt engineering to practical application, we present essential AI utilization methods for marketing professionals.

AWS CLF (Certified Cloud Practitioner) is an introductory course that allows you to build basic knowledge of the cloud. By increasing your understanding of AWS cloud technology and services through this certification, you can move on to more specialized certifications in the future and build the basic capabilities necessary for cloud-based development and operations.

This course is designed to help learners build solid AWS cloud engineering and architecture skills through hands-on projects and practical demonstrations. Students will learn how to build secure AWS environments, manage scalable computing infrastructure using EC2 and Auto Scaling, configure networking via VPC and Load Balancers, and implement cloud-native storage and database solutions using S3, Aurora, and MySQL. Throughout the course, I will guide students step-by-step using hands-on labs, architectural explanations, and real-world deployment scenarios commonly used in modern cloud environments. I focus on simplifying complex AWS concepts into easy-to-understand lessons while helping students avoid common mistakes made during cloud deployment, security configuration, and infrastructure scaling. By the end of this course, students will not only gain the confidence to design secure, scalable, and cost-effective solutions on AWS but will also be prepared for the AWS Solutions Architect Associate certification exam.

This is an intermediate course where you will design AWS infrastructure as code using Terraform and practice everything from automated deployment to security management. Through practical examples and hands-on exercises, you can develop skills in efficient infrastructure operation and management automation.

I recommend this lecture to anyone who wants to gain insight into a hot topic in the DevOps field called Observability, which is based on log analysis and inter-service correlation analysis on microservices.

Understand the security configurations of major AWS services through architecture diagrams, and gain a practical understanding of how they work by verifying them firsthand through hands-on exercises and security scenarios.

This special lecture lays the theoretical groundwork for simultaneous Microsoft AZ-900 certification preparation. Featuring the latest content reflecting the May 2025 exam scope, it covers cloud concepts, Azure architecture and services, and Azure management and governance, delivered with a blend of theory and hands-on practice.

This is a course to learn AWS cloud service, a public cloud platform operated by Amazon. The basic concepts and terms related to the cloud are taught by a proven instructor with long experience, and the instructor's demonstration of core technologies is delivered in the latest version, so that you can see the same results as in the video. (Latest interface as of August 2023) Balance the theoretical and practical capabilities of AWS cloud.

Learn the basic data structures of REDIS and examples of practical use of REDIS through redis-cli (command) practice.

I have created an 'Introduction to Kafka' course that is easy for non-majors to understand and can be applied immediately in practice!

You can learn about IAM, the foundation of AWS Zero Trust, from the most basic elements to the most detailed specifics. Through this, you can learn which parts may actually be vulnerable and where you need to pay more attention.

I have created an 'Introduction to MSA' course that is easy for non-majors to understand and can be applied immediately in practice!

A former AWS employee explains what a well-architected framework looks like within AWS. We will cover how to build an architecture that starts small and scales to handle massive traffic. You will learn various AWS services through a hands-on approach, solving the diverse challenges encountered when designing architectures for high availability and security.

Learn cloud infrastructure automation technology using AWS and Terraform, and practice efficient infrastructure management and deployment. Manage AWS resources as code through Terraform, and learn how to deploy consistent infrastructure across various environments.

If you want to work for a long time as a super developer who can handle the entire process of service development and operations alone, building a solid foundation in IT infrastructure knowledge is just as important as learning various programming languages!

I've created a cram course that will help you pass the AWS SAA-C03 (AWS Certified Solutions Architect - Associate) certification in just 2 weeks with only 163 questions!

I want to launch a side project as a real service and study Kubernetes, but managed services from AWS/GCP (EKS, GKE, etc.) are too expensive. On the other hand, running it only on a local computer makes it difficult to experience network configurations or actual deployment environments. We will utilize the "Always Free" tier of Oracle Cloud (OCI), which offers the most powerful free benefits among existing public clouds. By installing the lightweight yet powerful k3s, we will build a Linux server and Kubernetes environment capable of hosting actual services from scratch—all at zero cost. After taking this course, you will gain a general understanding of cloud networking and possess your own Kubernetes cluster infrastructure where you can deploy and operate your applications for free.

Mastering Threat Mitigation, Custom Rules, and API Protection for Modern DevOps Pipelines

This course carefully selects the core systems that beginners must know in the vast field of information security. Instead of rigid theory, it's structured to help you intuitively understand system principles through clear analogies and practical examples. With this single course, you can grasp the big picture of information security systems as a whole and develop practical skills.

This course aims to build the complete understanding of Amazon Virtual Private Cloud (VPC) and Networking from grounds up where you will understand the AWS networking concepts to the depth not just theorotically but by actually performing hands-on exercises for all the networking components. This course will take your networking knowledge and experience to a level where you can confidently design and implement networking components on your own. And believe me, it's one of the most important skill to have to be successful in your AWS career.

This course takes you from the fundamentals to advanced, real-world container workflows using Docker and Kubernetes. You will start by learning containers from the ground up, understanding how Docker works and why it is widely used in modern DevOps environments. You’ll run Docker, Docker Compose, and Kubernetes locally to improve software development, testing, and deployment workflows.