Docker crash course : Zero to Hero

Linux for Beginners: Mastering the Command Line. The ultimate course for Linux administration in corporate jobs. Unlock the power of the Linux operating system with this comprehensive beginner-friendly course. Whether new to IT or wanting to advance technical skills, this course will take one from zero to proficient in Linux fundamentals. Learn to navigate the command line, manage files and directories, handle permissions, and automate tasks with shell scripting. What You'll Learn: How to Navigate the Linux File System and Master the Command Line Managing users, groups, and file permissions for secure access Installing, updating, and removing software with package managers Basic system administration and troubleshooting skills With hands-on labs and real-world examples, you’ll quickly build confidence in managing Linux environments. By the end of this course, you’ll have a strong understanding of essential Linux concepts like file permissions, process management, and network configuration. Also, this course covers basic networking, disk management, and process monitoring. Whether you have a career goal in the realms of DevOps, cybersecurity, or cloud engineering, learn Linux today to make more career opportunities pop open in IT, DevOps, SRE, Support, IT helpdesk, IT Admin, cybersecurity, or software development! Practical Skills for Self-Confidence on Any Linux-based System Boost Your Tech Portfolio

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

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

⚓Kubernetes (Docker Desktop, Nginx, Minio, Longhorn) 🙇‍♀️Are you still hesitating? 🙋‍♂️Just trust me and follow along! I will take your skills to the ⭐next level.

This course allows you to learn the basic theory of DevOps and Infrastructure as Code (IaC), one of the fundamentals of DevOps. Through this course, you can properly understand IT-based services from a DevOps perspective and practice defining infrastructure as code for service operations. Upon completing the course, you will be able to easily create and manage the basic AWS resources needed for service operations using a tool called Terraform. Since AWS must be managed as code, this course is also essential for basic AWS study.

From server setup to blog and YouTube automation, build a complete AI workflow with n8n. We will practice creating a stable operating environment, covering Contabo VPS-based server installation, Ubuntu/Docker/Portainer environment setup, domain connection, and HTTPS security configuration. The course covers Search API and file server development using FastAPI and Docker, Airtable and n8n integration, building blog AI agents, and image/video automation. You will be able to complete a profit-generating automation strategy that can be immediately applied to actual service operations.

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.

We will systematically learn essential theories such as Motivation, History, Structure, and Life Cycle required for Docker and Dockerizing. Above all, by participating in three solid hands-on code labs, you will become a developer who is most confident about Docker.

[Practical Node NestJS Course - Let's Develop a Service Together!!] You can do it if you learn Redis and Kafka based on Nest! Prisma is now a must-have in the field!

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

Linux is an operating system widely used on various platforms worldwide, including servers, the cloud, and IoT devices. Through this course, you can enhance your competitiveness in the IT field based on a deep understanding of Linux. Furthermore, by acquiring expertise in open-source technology, you can prepare for the future technological landscape and stand out in a high-demand job market.

Through this course, you can systematically learn core concepts such as basic Docker Compose concepts, the structure of the docker-compose.yml file, frequently used options, examples of multi-container application configurations, and how to utilize Docker Compose commands.

🔥 This is a practical full-stack course where you will implement the knowledge-sharer features from scratch, from course registration to video uploading. Using Next.js 15 and NestJS, you will follow the actual Inflearn workflow—creating courses, organizing curriculums, uploading thumbnails and videos, and writing detailed descriptions—while gaining hands-on experience in Prisma modeling, JWT authentication, S3 + CloudFront uploading, and Swagger API design.

With v0, cursor AI, and various LLMs, from PRD to AI product recommendations! Complete your Next.js shopping mall through a practical project.

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

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)

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.

You will develop the ability to define problems based on data and clearly explain the rationale and decision-making process behind them. Additionally, rather than focusing solely on the performance of a single model, you will acquire a pipeline-oriented mindset that evaluates the completeness and reliability of the entire machine learning workflow. Furthermore, you will strengthen your problem-solving skills by tracing back the causes of errors when they occur and deriving improvement directions, and through end-to-end project experience, you will acquire practical ML pipeline capabilities that can be immediately applied in real-world settings.

This is a DevOps course based on practical experience in Silicon Valley. It goes beyond theory to cover content that can be applied immediately in the field. You will learn how to develop using Generative AI (Vibe Coding), set up CI/CD tools in a Kubernetes environment, and implement strategies to keep operating costs at $0. We will cover configuring a production environment without additional costs by running DB, Redis, S3, and batch jobs inside Kubernetes, and you will master building automated pipelines using GitHub Webhooks and Jenkins through hands-on projects.

It explains almost everything surrounding the cloud in an easy-to-understand manner. If you listen to it before the actual practice, you will be able to understand development or infrastructure cloud well.

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

At some point in backend development, you start to have these concerns. It's that moment when services expand and traffic increases, and you begin to feel the limitations of simple REST communication and CRUD structures. I experienced these same issues in the field and went through much trial and error balancing performance and structural complexity. The solution I chose during that process was NATS. Its simple configuration based on a single binary, ultra-low latency performance in microseconds, and the fact that it provides essential features—from Pub/Sub to Queue Groups and JetStream—without being overkill made it a very practical choice for real-world service environments. This course is not just a list of NATS features. Based on the problems I faced in practice, I explain through code and workflows why I chose NATS in certain situations and how I designed the architecture. This course is designed to help everyone—from those new to messaging systems to backend developers preparing for employment and senior developers considering better architectures—understand distributed systems and grow to the next level.

🔥 This is a practical full-stack course where you implement the entire journey a student experiences, from browsing lectures to payment and deployment. You will build everything yourself—including lecture search, detail pages, enrollment, video playback, reviews and Q&A, shopping carts, actual payments, "continue watching" features, and Docker + AWS deployment—to master user flows and architectural design close to real-world services and complete a high-level full-stack experience.