Launch of 'Generative AI Training for System Development PMs' to Dramatically Change System Development Productivity
DXHR Co., Ltd. has started a 5-part practical generative AI training program for System Development Project Managers. Using tools like Claude, it aims to dramatically improve daily PM efficiency and system quality.
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- 📰 Published: April 1, 2026 at 03:10
- 🔍 Collected: April 1, 2026 at 01:00
- 🤖 AI Analyzed: April 22, 2026 at 09:57 (512h 57m after Collected)
DXHR Co., Ltd. (Headquarters: Shibuya-ku, Tokyo; CEO: Kazunari Maeda) has launched a practical education program, 'Generative AI Training for System Development PMs,' targeted at Project Managers (PMs) in system development. This training is a 5-part practical series designed to develop next-generation PMs who achieve overwhelming operational efficiency and quality improvement by incorporating generative AI into daily project management tasks.
## ■ Background and Purpose
Currently, 'AI talent shortage' and 'chronic engineer shortage' are extremely serious issues in the domestic IT industry. Also, while generative AI technologies like ChatGPT and Claude evolve rapidly, many companies exist in a state where 'they know about generative AI but don't know how to use it in actual system development projects' or 'introduction is delayed due to concerns about security or hallucinations (plausible lies).'
In particular, Project Managers (PMs) handle a wide range of tasks, from management duties like schedule management, quality control, and stakeholder communication, to sometimes engaging in upstream processes like requirements definition. Thus, personalization of work and resource shortages often become bottlenecks in project progression.
Against the backdrop of these market challenges, our company developed this training with the goal of 'using AI not just as a tool, but mastering it as a capable assistant.' By allowing PMs themselves to utilize AI to vastly streamline routine tasks and build an environment where they can focus on 'judgment' and 'decision-making'—what they should originally concentrate on—we elevate the productivity of overall system development.
## ■ Service Overview
Generative AI Training for System Development PMs
### [Main Features and Curriculum Content]
This training is a 5-part program that abundantly incorporates 'practical exercises' where participants actually use their hands to create outputs, rather than just acquiring knowledge through lectures. Utilizing generative AI (primarily Claude) excellent at long-text processing and structured output, participants learn skills directly linked to actual PM work.
Session 1: Basics of Generative AI and Introduction to PM Work
Learn the differences between generative AI and AI agents, compare characteristics of major tools (ChatGPT, Claude, Gemini, etc.), basic prompt engineering, and basics of security and risk management.
Session 2: Overview of AI-Driven Development and Development Tools
Understand the features of the latest development tools like AI pair-programming development, vibe coding, and Claude Code, and grasp team building and the changing role of PMs in the AI era.
Session 3: PM Work Efficiency ①: Planning & Design Phase [With Exercises]
Conduct practical work to streamline planning phase tasks with AI, from creating drafts of requirement definition documents, automatic extraction of deliverable and function lists, creating WBS (Gantt charts), to improving accuracy of man-hour estimations.
Session 4: PM Work Efficiency ②: Reporting & Communication [With Exercises]
Acquire skills to structure routine communication tasks, such as automatically creating and summarizing meeting minutes, generating customer fault reports from fragmented information, and summarizing project reflection surveys.
Session 5: AI Utilization Strategy and Review
Organize AI utilization methods in each area of PMBOK (Project Management Body of Knowledge), own te
## ■ Background and Purpose
Currently, 'AI talent shortage' and 'chronic engineer shortage' are extremely serious issues in the domestic IT industry. Also, while generative AI technologies like ChatGPT and Claude evolve rapidly, many companies exist in a state where 'they know about generative AI but don't know how to use it in actual system development projects' or 'introduction is delayed due to concerns about security or hallucinations (plausible lies).'
In particular, Project Managers (PMs) handle a wide range of tasks, from management duties like schedule management, quality control, and stakeholder communication, to sometimes engaging in upstream processes like requirements definition. Thus, personalization of work and resource shortages often become bottlenecks in project progression.
Against the backdrop of these market challenges, our company developed this training with the goal of 'using AI not just as a tool, but mastering it as a capable assistant.' By allowing PMs themselves to utilize AI to vastly streamline routine tasks and build an environment where they can focus on 'judgment' and 'decision-making'—what they should originally concentrate on—we elevate the productivity of overall system development.
## ■ Service Overview
Generative AI Training for System Development PMs
### [Main Features and Curriculum Content]
This training is a 5-part program that abundantly incorporates 'practical exercises' where participants actually use their hands to create outputs, rather than just acquiring knowledge through lectures. Utilizing generative AI (primarily Claude) excellent at long-text processing and structured output, participants learn skills directly linked to actual PM work.
Session 1: Basics of Generative AI and Introduction to PM Work
Learn the differences between generative AI and AI agents, compare characteristics of major tools (ChatGPT, Claude, Gemini, etc.), basic prompt engineering, and basics of security and risk management.
Session 2: Overview of AI-Driven Development and Development Tools
Understand the features of the latest development tools like AI pair-programming development, vibe coding, and Claude Code, and grasp team building and the changing role of PMs in the AI era.
Session 3: PM Work Efficiency ①: Planning & Design Phase [With Exercises]
Conduct practical work to streamline planning phase tasks with AI, from creating drafts of requirement definition documents, automatic extraction of deliverable and function lists, creating WBS (Gantt charts), to improving accuracy of man-hour estimations.
Session 4: PM Work Efficiency ②: Reporting & Communication [With Exercises]
Acquire skills to structure routine communication tasks, such as automatically creating and summarizing meeting minutes, generating customer fault reports from fragmented information, and summarizing project reflection surveys.
Session 5: AI Utilization Strategy and Review
Organize AI utilization methods in each area of PMBOK (Project Management Body of Knowledge), own te