Bytec Generative AI Online School Releases New 'Claude Master Course' to Elevate 'Thinking AI' into a Practical Business Companion

Librex Inc. (Headquarters: Shibuya-ku, Tokyo; Representative Director: Ryo Shioda; operator of Bytec Generative AI Online School) has newly released the 'Claude Master Course,' which enables practical mastery of Anthropic's generative AI 'Claude,' covering long-text understanding, Office app integration, autonomous agents, and custom skill development.

This course goes beyond mere chat usage, systematically explaining native integration with Excel, PowerPoint, and Chrome browsers, task automation with the desktop agent 'Cowork,' custom AI tool development using Agent Skills, and business automation manageable even by non-engineers with Claude Code. The goal is to master Claude as a 'thinking partner' and acquire skills that simultaneously enhance work quality and productivity.

Background and Purpose of the Release

While the utilization of generative AI is expanding, more 'in-depth practical' challenges are emerging, such as:

・Answers breaking down when given long documents ・Failing to notice hallucinations when using output as-is ・Convenient for chat, but integration into practical workflows is slow ・Inability to design usage specific to in-house operations

Claude is a next-generation business-oriented AI with strengths in long-text understanding, honesty, and transparency of thought processes, capable of native integration with Office, browsers, and desktop environments.

This course aims to acquire advanced utilization skills by placing Claude at the core of practical work, through systematically learning:

・Distinguishing between models (Haiku / Sonnet / Opus) and prompt design ・Practical application in Excel, PowerPoint, and Chrome browsers ・Business automation with Cowork, Agent Skills, and Claude Code ・Hallucination countermeasures and long-text handling

Course Features: Mastering Claude as a 'Thinking Partner'

A. Understanding Claude's Design Philosophy from the Basics

This course first organizes Claude's overall picture and differences from other generative AIs.

Constitutional AI-based design concept and honesty

Characteristics of Haiku / Sonnet / Opus and model selection criteria

Identifying得意なタスク (strong tasks) and苦手なタスク (weak tasks)

Complex problem-solving through Extended Thinking

The structure is designed not just for operational mastery, but to understand 'why Claude behaves that way.'

B. Systematically Acquiring Practical Application Cases

Learn how to utilize Claude to simultaneously improve work quality and speed.

Category | Main Use Cases ---|--- Document Processing | Cross-document analysis of long texts, extraction of issues/contradictions, summarization for different readers, tone-unified rewriting Office Integration | Automatic formula/graph generation in Excel, batch slide creation in PowerPoint, Word/PDF output Browser Operations | Web research, form input, cross-tab comparison, one-flow from research to documentation Personalization | Building a personalized work environment with Project, Connector, Style, and Memory functions Cowork (Desktop Automation) | Autonomous task delegation through plan → execute → report loop, regular scheduling, automatic organization of folders/documents Agent Skills | Developing in-house specific skills with skill-creator, a mechanism to 'equip' Claude with tools Claude Code | Enabling non-engineers to perform file organization, large data analysis, and automatic report generation

Achieves integration into practical workflows beyond chat.

C. Advanced Business Automation with Cowork, Agent Skills, and Claude Code

Claude functions not just as a chat tool, but also as an autonomous agent operating on the desktop and browser.

Cowork: Autonomous task delegation through plan → execute → report loop

Agent Skills: Understanding standard skills and developing in-house specific skills with skill-creator

Claude Code: Enabling non-engineers to perform file organization, data analysis, and report generation

Personalization through scheduled execution and global instructions

Cultivates design capabilities to elevate Claude's position from a 'convenient chat tool' to an 'AI agent integrated into business operations.'

D. Output-Oriented Design with Practical Challenges

The final chapter involves building five business-oriented agents.

Mass information organization agent

Document review and supervision agent

Knowledge/FAQ/manual creation agent

Comparison/classification/decision support agent