構築する AIとデータスキル

Master the skills needed to use AI tools like Claude at work, even with no technical background. Learn how large language models work, write prompts that get precise results, connect tools like web search and spreadsheets to your work, and build your own AI assistant to handle real tasks.

Learn how to create a fully functional MCP (Model Context Protocol) server to integrate AI models like Claude with real-world tools like Excel. Everything from core concepts to setting up your development environment and building your first working server that can analyze real data through natural language prompts. No advanced programming knowledge required, just curiosity and willingness to explore AI automation.

Learn how to use Claude across everyday tasks, collaborative work, and coding projects. This track starts with the fundamentals, then introduces Claude Cowork for completing more complex workflows and Claude Code for working directly with projects, files, and development tasks.

Explore the essentials of SQL, from retrieving and filtering data with SELECT and WHERE to sorting results with ORDER BY and summarizing them with aggregate functions like COUNT, AVG, and SUM. Through hands-on challenges, you'll build the skills to query real datasets with confidence.

Classify emails as spam or non-spam by analyzing the content of the emails. Preprocess the text data using techniques like tokenization and vectorization, and apply machine learning to build and evaluate a classification model. Develop a reliable tool for identifying spam emails.

Python is a high-level, interpreted, general-purpose programming language. Distinguished from languages such as HTML, CSS, and JavaScript, which are mainly utilized in web development, Python boasts versatility across multiple domains, including software development, data science, and back-end development. This course will guide you through Python's fundamental concepts, equipping you with the skills to create your own functions by the conclusion of the program.