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.

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.

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.

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 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.

In this lecture, you will learn about AWS ECS, one of the representative technologies of Container Orchestration! You will also build CICD with Github Action. However, you will not learn ECS from the beginning. ECS can be called the king of DevOps, so it can feel too difficult. So, in the beginning of the lecture, we will first cover the basics with AWS Lightsail, which has a relatively low learning curve among traditional virtual servers. You will also experience the limitations and inconveniences of the existing method. By building up with the basics and “Why” in this way, you will naturally learn Docker Containers and ECS!

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.

This course is designed so that you can learn many parts of Kubernetes (☸) through illustrations. 🧭 In particular, it expands upon the proven content of the bestseller 'Kubernetes/Docker for Building Container Infrastructure Environments' to help you study Kubernetes itself in greater depth. 💯 Additionally, practical content is periodically added to the 'Supplementary Lessons.' 👉 Please be sure to compare this with other courses :)

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

This course is designed for developers, DevOps engineers, cloud engineers, and IT professionals who want to master advanced Kubernetes concepts used in real-world production environments. Throughout the course, students will engage in hands-on projects and real-world deployment scenarios, learning how to build secure, scalable, and production-ready Kubernetes infrastructure. Rather than focusing solely on theory, this course emphasizes practical implementation, troubleshooting, and best practices utilized by modern DevOps teams. One of the biggest challenges students face when learning Kubernetes is understanding how all components interact within large-scale environments. Many learners struggle with topics such as RBAC permissions, persistent storage, namespaces, network policies, StatefulSets, Kustomize, and secure cloud deployments. This course addresses these issues step-by-step through clear explanations, guided labs, and examples that mirror actual production environments. Students will learn step-by-step how to organize Kubernetes resources, secure workloads, manage application configurations, deploy stateful applications like MongoDB, and automate multi-environment deployments using Kustomize. Additionally, the course covers how to deploy applications to Google Kubernetes Engine (GKE) and configure Ingress, TLS certificates, monitoring, and scaling strategies. By the end of this course, students will have the confidence to design, secure, deploy, and manage advanced Kubernetes environments used in professional DevOps and cloud engineering workflows.

This is a Docker guide for beginners who don't know anything about Docker. We focused on helping you quickly learn why Docker is popular and how to use it, without getting into complicated details.

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

⚓ Kubernetes CKA Certification! 🙇‍♀️Are you still hesitating? 🚢Board the Ilpro-ho! We will guide you through the optimal route.

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.

⚓ Kubernetes CKAD Certification! 🙇‍♀️Are you still hesitating? 🚢Board the Ilpro-ho! We will guide you through the optimal route.

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.

In application development, "being able to quickly and accurately reproduce the development environment" is extremely important. One effective means for achieving this is Docker. This video explains everything from Docker's basic concepts and ideas to the actual process of building and running applications using only Docker. You'll also learn the basics of docker-compose, which allows you to manage multiple containers together, giving you a better understanding of environment setup that's closer to real-world practice.

This course is designed for Developers, DevOps Engineers, Security Engineers, Freshers, QA, Infrastructure, Build & Release, IT, and InfoSec/AppSec professionals who want to learn and implement DevSecOps practices using real-world tools, technologies, and industry security best practices. You will gain hands-on experience integrating security across the entire Software Development Life Cycle (SDLC)—from architecture and code to infrastructure, pipelines, containers, and runtime environments. This course equips you with high-demand DevSecOps skills that can help you secure top-quality roles with higher compensation, similar to current market trends in DevOps, Cloud, and Cybersecurity. In today’s digital-first world, embedding security into engineering workflows is no longer optional—it is essential for business success. DevSecOps: Integrating Security into the SDLC Using Jenkins and Modern Tooling This course is ideal for individuals and teams who want to shift security left and build secure, scalable, and automated DevOps pipelines. You will learn how to: Integrate security principles, architecture, and organizational best practices into DevOps workflows Prevent accidental exposure of secrets, credentials, and sensitive data in source code repositories Secure Linux systems, virtual machines, and CI/CD build agents Identify, fix, and patch vulnerabilities in: Application dependencies Dockerfiles and container images Runtime application environments Secure Docker images, containers, and containerized workloads Secure Infrastructure as Code (Terraform) using policy and security scanning Harden and secure CI/CD pipelines against misconfigurations and attacks Perform security testing using: Threat Modeling Unit and Integration Tests Software Composition Analysis (SCA) Static Application Security Testing (SAST) Dynamic Application Security Testing (DAST) Automate security testing during build, test, and deployment, instead of relying on manual post-release testing Learning Experience Each concept is explained in a simple, visual, and structured manner: Slide-based conceptual explanations Followed by hands-on, real-world labs You will: Set up your own Linux VMs, security tools, and CI/CD pipelines using Jenkins Secure Docker images, containers, and infrastructure Work with a dedicated GitHub repository containing all code, configurations, and examples used in the course Why Enroll in This Course? ✅ One of the most practical, hands-on DevSecOps Bootcamps available online ✅ Learn DevSecOps, Cloud Security, and Application Security without expensive institutes or tutors (often costing $400–$4000) ✅ Self-paced learning with a comprehensive, up-to-date curriculum ✅ Clear understanding of the difference between traditional DevOps vs modern DevSecOps ✅ Learn how to embed security at every stage of the pipeline ✅ Automate security scanning early instead of fixing issues after production ✅ Hands-on experience with free and open-source security tools ✅ Industry insights referenced from Gartner reports on DevOps and Security collaboration By the End of the Course By the end of this course, you will have gained strong theoretical knowledge and extensive hands-on experience with DevSecOps tools, technologies, and practices. You will be confident in designing, building, and implementing secure DevOps or DevSecOps pipelines independently for real-world projects and organizations. You will also have access to a DevSecOps Quiz to test and validate your foundational knowledge in DevSecOps and SecOps. Goals Learning Experience Each concept is explained in a simple, visual, and structured manner: Slide-based conceptual explanations Followed by hands-on, real-world labs You will: Set up your own Linux VMs, security tools, and CI/CD pipelines using Jenkins Secure Docker images, containers, and infrastructure Work with a dedicated GitHub repository containing all code, configurations, and examples used in the course Prerequisites Basic knowledge of the following is helpful but not mandatory—everything is covered from scratch: DevOps & Jenkins Docker & Containers Linux, CLI & Shell Scripting Security fundamentals

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!

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.

Build a local LLM with RAG-based Q&A system in just 2 hours of practice using Docker + ollama + R2R framework. (Applicable for internal/in-house Q&A systems, personal portfolios, AI-enhanced work productivity, and even commercial services)

This training is a hands-on course covering infrastructure construction using Docker container technology, vulnerability analysis, and API web server diagnostics. It is designed to comprehensively learn from the basic concepts of Docker to its application in real-world environments, security vulnerability analysis, and response.

Regardless of the field! This is a lecture that covers the core fundamentals that developers must know in practice in an easy + code-oriented way. I highly recommend this lecture to all junior developers and job seekers who want to grow.

In this course, you will be able to create a Reddit website from scratch, step by step.

Packed with LLM Fine-Tuning Know-how, learned from Silicon Valley LLM Project Practitioners.