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.

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.

Learn how to efficiently manage the entire project process by applying the core principles of Agile methodology to Jira and Confluence. From prioritizing tasks to turning knowledge into assets, you will acquire practical collaboration tool skills to maximize project performance.

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.

Learn how to develop cloud-native applications using Kubernetes, the standard for container orchestration. From core Kubernetes concepts to actual application deployment and operations automation, you can acquire practical skills that are immediately applicable in the field. Learn how to build efficient resource management and deployment processes by integrating development and 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.

You will systematically learn the principles and practical applications of the latest generative AI technologies, from ChatGPT to image and video generation AI and no-code tools. Through seven core topics, including prompt engineering, Copilot utilization, and AI extensions, you can maximize work efficiency and develop creative problem-solving skills.

We explain the operating principles of complex IT systems, such as servers, networks, clouds, and AI infrastructure, using simple everyday analogies. Even non-experts can systematically learn the core literacy needed to communicate smoothly with technical experts and make logical decisions in a digital environment.

We provide an easy understanding of the concepts and principles of generative AI from a humanities perspective, including literature, film, music, and history, while exploring the cultural impacts and life changes AI will bring. We offer practical insights and strategies on how individuals and companies should respond and prepare for the AI era.

Explore how LLM applications are shifting the development paradigm. Understand why LLMs are becoming a sustainable core technology through comparisons with existing technologies, and learn about the essential skills and mindset shifts required for developers. Gain insights from expert instructors to grasp the essence and future direction of LLM application development.

This course is designed to help you learn the use of ksqlDB and its core mechanisms through various hands-on exercises. After completing the course, you will be able to easily and quickly build a real-time streaming data analysis system based on Kafka.

From the core of Kafka to in-depth content on internal mechanisms, the course is structured so that even beginners can quickly reach the expert level through detailed theoretical explanations, hands-on practice, and practical Kafka application development practice.

Through in-depth theoretical explanations of Kafka Connect and detailed practical training that can be used immediately in the field, we will help you grow into an expert in building data linkage and data pipelines based on Kafka Connect that are needed in the field.

This course is for those who want to learn DDD but feel lost on "how to apply it to a real project." In this course, we will implement DDD design from start to finish by **building an actual ordering system** based on Spring Boot. The focus is not on simple theory, but on "structures and code that can be used immediately in practice." After taking this course, you will be able to: ✔ Design DDD-based projects on your own ✔ Implement professional-level structures yourself

We'll show you a quick and easy way to implement CircuitBreaker to create a fault-tolerant service.

Learn how to utilize RabbitMQ to implement asynchronous architecture, the most fundamental method for processing large-scale data, through a tutorial format that makes it easy to understand from basics to practical application based on SpringBoot 3.3. Learning materials (Notion links and Git Branch URLs) are provided for each lecture chapter. Please be sure to check the class notes.

From Docker, Kubernetes to microservices, CI/CD, and service mesh, you can easily learn not only the basic theory but also the actual application implementation through examples. By organizing only the core contents necessary for actual use, it provides a starting point for learning about the element technologies covered in the lecture.

In this lecture, you will learn how to use OpenTracing to perform distributed tracing across various applications.

[Engineering Organizational Strategy and Individual Competency Roadmap through 'The Great Rewiring'] 1. Introduction: 'The Great Rewiring' and the Shift in Organizational Paradigms Modern enterprises are facing an unprecedented technological turning point known as 'The Great Rewiring,' the initial phase of Artificial Intelligence (AI) adoption. This is defined as a complex task that goes beyond the simple introduction of unit technologies or partial task automation; it requires a fundamental reconfiguration of the structural blueprint of the organization as a massive system. Despite the supply of high-efficiency power sources in the form of Generative AI, many organizations are experiencing performance degradation and system instability due to structural inertia. Analysis suggests this phenomenon occurs because, while the power output has been strengthened, the redesign of processes and structures to control that energy and convert it into meaningful business outcomes has not followed. This course aims to present an in-depth architectural design strategy to evolve organizations into sophisticated organic systems. 2. [Diagnosis] Analysis of Three Major Structural Defects in the AI Adoption Phase ① Chassis Collapse (Lack of Rigidity in Organizational Substructure) When a high-performance power source like AI is installed while maintaining a rigid vertical hierarchy, the existing structure fails to accommodate the accelerated information throughput and decision-making speed. This is an organizational dysfunction caused by a decision-making system that cannot keep pace with technological deployment, which is highly likely to lead to the physical collapse of leadership authority and management systems. ② Jagged Frontier (Misjudgment of Performance Boundaries and Reduced System Reliability) This problem arises from indiscriminately deploying Generative AI—a probabilistic reasoning mechanism—to tasks that require strict deterministic logic. Overlooking the probabilistic nature of AI in areas where mathematical precision or legal compliance is essential leads to 'System Knocking,' where overall system reliability drops sharply, causing significant tangible and intangible asset losses to the organization. ③ NVH: Noise, Vibration, Harshness (Neglect of Cognitive Friction and Psychological Instability) Just as mechanical vibration and noise increase system fatigue, widespread job insecurity and ambiguous job guidelines within an organization accelerate the cognitive load of members to a critical point. Organizations that fail to properly control this psychological NVH (Noise, Vibration, Harshness) may face a crisis of internal self-destruction due to discord between components, despite the introduction of intelligent systems. 3. [Individual Competency] Evolution from Passive Compliance to Sovereign Architect Individual members in the AI era must move away from the status of 'Passive Sheep' dependent on technology and be reborn as 'Existential Architects' who deconstruct and rewire systems. ① Recovery of Intellectual Sovereignty and Escaping Slave Morality Uncritically accepting AI outputs and entirely delegating analytical processes to machines leads to 'Cognitive Offloading,' which eventually causes the degeneration of the Executive Control Network. One must reject the position of the 'Good Sheep' who settles for technological convenience and awaken as a 'Sovereign' subject capable of expressing critical anger toward system absurdities and technical debt. ② Designing 'Intentional Friction' for Cognitive Plasticity Individual members must resist the seamless answers provided by AI and design intentional 'Cognitive Friction' into their work processes. By utilizing AI not as a simple answer generator but as an adversarial partner that stimulates and deepens human thought, one must maintain brain neuroplasticity and strengthen intellectual muscle. ③ AI Command Capability: S.E.E.D Prompt Architecture Beyond simple queries, the ability to design logical interfaces that AI can process is essential. S.E.E.D Framework: Cultivate the capability as a 'Director' to precisely control AI by systematically structuring Situation, Expectation, Engineering Structure, and Data. 4. [Methodology] Organizational Innovation Strategy through Building a Cognitive Powertrain ① Cognitive Powertrain (Dual Engine Architecture Design) Optimize the system by clearly decoupling the organization's cognitive processes into predictive and generative models. Predictive AI: Ensures system stability by taking full charge of precise logical systems and quantitative analysis tasks. Generative AI: Provides innovative momentum by handling creative synthesis and context generation tasks. ② Golden Pattern (Intelligent Collaboration Protocol based on Reliability Engineering) Systematize the collaboration process between humans and AI to control Hallucination risks. Serial Process Optimization: Establish standard operating procedures consisting of Generative AI information processing, human logical filtering, and re-optimized output. Human-Centric Gatekeeper Capability: Maintain technical alignment by ensuring humans hold the sovereign position to direct the system's orientation and perform final decision-making. ③ Application of Behavioral Software Engineering An engineering approach is needed where both leaders and members can actively mitigate emotional resistance and cognitive load. Strategic Design of Ethical Latency: Insert intentional review stages to ensure the race for technological adoption does not lead to ethical bankruptcy. Transparent Feedback Loops: Maximize organizational transparency by embedding feedback mechanisms to minimize mutual trust costs. 5. Conclusion: Securing Future Competitiveness through Sovereign Architecture This masterclass avoids abstract discourse and translates 40 years of engineering insight gained from tuning massive systems into the business language of the AI era. Will you remain a 'Good Sheep' slowly degenerating while submerged in structural inertia and technological convenience, or will you become an 'Existential Architect' who sees through the illusions of the system and proactively rewires it? We will help you redesign the architecture of your organization and yourself through a precise cognitive partnership, enabling you to fully control the powerful engine of AI and drive sustainable growth.

This curriculum was newly created for Kubernetes beginners, made with the intention of explaining it to a colleague who is encountering Kubernetes for the first time. Rather than just commands, you'll learn from cloud native concepts and understand the operating principles of Kubernetes.

Learn the basic, essential, and practical knowledge of Kafka that software developers need to know. We will integrate Kafka using Spring Boot and conduct hands-on exercises for sending and receiving messages tailored to various real-world scenarios.

You can quickly experience the process of deploying a sample e-commerce service to AWS and continuously improving it into a robust and efficient environment.

In the software system design course taught by Silicon Valley engineers, you will learn the design principles and architectural patterns of large-scale systems and how to build stable and scalable software solutions. In addition, you will cover performance optimization and fault response strategies through practical cases.

Beyond the basics of API design, CRUD implementation, and JWT authentication, all the way to backend architecture design! This is an introductory system design course to help you create 'your own backend architecture' so you can confidently discuss design experience in interviews.

Kotlin mastery via virtual payment server course.

Learn the SAGA transaction management technique for maintaining data consistency in distributed environments through a hands-on approach. You will configure three microservices using Spring Boot and Docker, and implement both Orchestration and Choreography patterns using Kafka and MySQL. Through this course, you will master core concepts applicable to real-world scenarios, including the operational principles of distributed transactions, designing compensating transactions, and handling fault recovery.

IntelliJ IDEA Conf 2025 is an annual online conference hosted by JetBrains that provides valuable sessions for Java and Kotlin developers. It covers various topics including AI adoption, Spring Boot, Gradle, Kafka, database management, and also shares insights on cloud integration, secure coding, developer performance improvement, and advanced development techniques. This conference is open to both professional and beginner developers, offering opportunities to explore the latest technologies along with productivity tips for writing high-quality code faster.