Made in RAG (Local LLM QA System) With Docker + ollama + R2R

Ghost In the N8N - AI Automation Workflow (AI automation flow through the N8N framework) You will gain the foundational knowledge needed for practical work & business automation in the AI era, along with guides you can use immediately in real-world applications!

"Level Up Your Python Alone!" Starting from Python basics, all the way to creating 2D games and an Ollama-based AI chatbot! This is a practice-focused introductory course where you learn core syntax like variables, conditional statements, and functions, and improve your skills by building things yourself.

This lecture aims to be a welcome resource for those who dream of becoming game programmers. 1) We share tips on resumes & cover letters, portfolios, and interviews needed for employment. 2) We share the story that continues from zero, through becoming a junior, and beyond.

CI/CD environment is indispensable in modern project development. Let's become a (real) deployment fairy with TeamCity, the most widely used tool in the field!!

This lecture covers building practical RAG (Retrieval-Augmented Generation) systems while developing an AI customer service chatbot (AICC).

Develop various features using Spring WebFlux. This course will teach you WebFlux's essential concepts and practical implementation.

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.

LLM: A pro quickly delivers core content, from essentials to practical tips!

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!

Do you still code directly these days? Now is the era where even vibe coding is too much hassle! Become an AI automation expert with n8n without coding. A practical automation workflow design guide you can apply immediately at work Action-oriented automation strategies that maximize work efficiency. Build intuitive workflows with n8n and experience workplace innovation

I've created an introductory CI/CD course that's easy for non-majors to grasp and immediately applicable in practice!

You can learn everything from basic usage of generative AI to automation and creating customized AI chatbots for practical work applications all in one comprehensive course.

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

This is a hands-on tutorial on how to integrate with IntelliJ and develop quickly using the Model Context Protocol (MCP).

AI Work Automation + Side Income Generation with Just One Click!!! Make, the ultimate work automation tool - have you been hesitating to start due to its complex settings and features? Build the automation you've been dreaming of with step-by-step lectures that even beginners can easily follow.

We explore methods for creating an AI judge by combining multiple agent frameworks such as CrewAI, LangChain, and AutoGen that enable the implementation of LLM-based multi-agent technology, along with knowledge graphs and reasoning systems.

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 a practical pre-training program designed to help you quickly complete the core technologies needed for **smart mirror** production in the form of "pre-missions." Rather than simple feature explanations, it aims to reach a level where you can immediately create an integrated demo (PoC) in the field. The course requires completion of the following 4 components: LLM API-based conversational response module Including role separation (system/user), conversation history maintenance, retry/timeout, and log handling, you'll learn patterns for creating short, card-style summary responses suitable for smart mirrors. Face recognition + filter application with MediaPipe FaceMesh Extract facial landmark coordinates and implement a PoC that tracks visual filters like sunglasses/masks/stickers in real-time. Raspberry Pi ↔ Arduino serial communication (Python) Transmit Arduino sensor values via serial and perform reception, parsing, and error handling on Raspberry Pi using Python (pyserial) to first complete the system backbone of "sensor → Pi → (UI/storage)" flow. Smart mirror frame/hardware 3D modeling Considering display, Pi, power supply, cables/heat dissipation, complete an assemblable frame (front/back, brackets/screw holes, etc.) as STEP/STL deliverables. Additionally, optional sections allow expansion based on team capabilities, connecting step-by-step: Weather data input on Pi, Firebase/Supabase DB integration, Responsive web UI (mobile/desktop), AWS deployment basics. As a result, upon completing the course, students will have not just "individual technology pieces," but an integrated portfolio (AI response + face recognition + sensor communication + hardware design) ready for immediate demonstration at makerthons.

We will create a remote development environment using VS Code and extensions, and learn about WSL and code-server, a VS Code used on the web.

AI proficiency determines your salary. Leave those tedious repetitive tasks to AI 'Almost Everything About Work Automation' teaches you how to create automation systems that handle your work with just a few clicks, no coding knowledge required. You'll be freed from boring document work and data organization, and transform into an 'AI work expert' who stays ahead of others.

This course covers the fundamentals of the Notion API and teaches you how to automate Notion by integrating AI (Claude) using Notion MCP. You'll learn to directly control blocks, pages, and databases by following the official API documentation, and ultimately complete a hands-on project that creates databases and automatically adds pages by analyzing text file content using only natural language commands (prompts).

We will teach you how to obtain certified Kubernetes certifications such as Certified Kubernetes Administrator (CKA), Kubernetes Certified Application Developer (CKAD), and Certified Kubernetes Security Specialist (CKS).

The goal is to learn complex GPT API and Python in the easiest and most hands-on way possible. Using the latest ChatGPT API, we'll develop a YouTube video summarization AI and implement it as a web application using Streamlit.