AI時代に代替されないシリコンバレーインターンシップ及び米国ビッグテックシステムデザイン&オープンソース実務貢献完成コース

Prepare for interviews using the American Big Tech algorithm coding interview method and implement differentiation strategies.

Xcode & ARC memory management, Swift fundamentals (let/var·Optional) · pure functions · closures · higher-order functions (map/filter/reduce) utilization, Master Playground practice environment setup all at once.

This is a course to learn large-scale traffic processing and real-time streaming through practical projects by integrating RabbitMQ, Kafka, and Redis with Python Flask.

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.

Learn cache strategies that can be utilized in large-scale systems by building them directly with Spring Boot. Understand problem situations like Cache Penetration, Cache Stampede, and Hot Key, and implement resolution strategies.

Learn various design principles needed to write object-oriented code, focusing on working code.

We create an AI judge by combining CrewAI, facilitating LLM-based multi-agent technology, with knowledge graphs and inference systems.

Have you ever wondered why we use these techniques while watching the Clone Coding lecture? Let me give you a big picture of backend development!

What should be done when building a generative AI or LLM-based RAG (Retrieval-Augmented Generation) system, but the desired performance isn't achieved and there's no suitable solution? This lecture presents methods to improve RAG performance based on Cognitive Load theory. Through this lecture, you will understand the limitations of LLM context windows and learn how to effectively manage cognitive load in RAG systems. It is a practical-level theoretical lecture covering Chunk size and structure design, high-quality Chunk generation techniques, dynamic optimization, performance evaluation, and practical techniques.

Based on Oracle 21C, from concept to practice, the easiest way to learn SQL for the first time! Directly taught by the author of EGIS Publishing's 《Do it! SQL for Beginners with Oracle》! We'll teach non-majors and beginners step-by-step.

In just 2 hours of hands-on practice, we build a local LLM with RAG-based QA system using the Docker + ollama + R2R framework. (Internal/in-house QA systems, personal portfolios, AI-powered work capabilities, and even commercial services are possible.)

It provides a key guide to understanding the internal mechanisms of Oracle DB architecture and growing as a performance tuning and performance analysis expert.

This is a class on MSSQL, one of the three major databases. Even if you are learning databases for the first time, you can learn it easily.

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

Because you never know when or how software will grow, you always need to be prepared to continue growing. This provides one direction for that.

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 focuses on M365 Copilot, a smart work partner in the Microsoft 365 ecosystem, and covers how to achieve work innovation by utilizing AI in an environment where security and copyright are protected. It introduces the main features of Copilot and various ways to leverage it in conjunction with Microsoft 365 services, while also presenting prompting techniques to elicit accurate and effective responses.

This lecture comprehensively organizes the content that would be good for those who want to get a job as a new Spring Java backend developer, especially those who are about to have an interview.

AI writes on my Slack and Notion for me? Work smarter with MCP that surpasses the limitations of existing AI!

Create your own visual novel game using React, Javascript, SpringAI, and Springboot. Learn how to create a web-based visual novel game using SpringAI and React!

You can learn the core concepts of complex Next.js in a short time. We'll teach you only the essential practical knowledge for those learning Next.js for the first time. Captain Pangyo's new Next.js course, who has been conducting framework courses for 8 years. You can learn the coding and learning methods of "Frontend Developers in the AI Era"! 😊

Explaining how to connect to a Python-based AI web server using FastAPI from a Spring Boot project.

Through this course, you can acquire the concepts and practices of Information Strategic Planning.