Elith Inc., which has a track record of numerous papers accepted at academic societies and international conferences in Japan and abroad, and of collaboration with major companies in AI agent development, has provided a hands-on LangGraph/LangChain course to train next-generation AI engineers, drawing on its outstanding R&D capabilities as a pioneer in multi-agent and AI agent development.
This four-session course allows participants to systematically learn everything from the basics of a single agent to MCP (Model Context Protocol) and agent-to-agent collaboration, enabling them to acquire next-generation DX skills through practical AI agent use cases.
Elith Inc.
Elith Inc. (head office: Bunkyo-ku, Tokyo; Representative Director: Koki Inoue; hereinafter "the Company") conducted a four-session training course for the technology and DX promotion divisions of RYODEN Corporation (head office: Toshima-ku, Tokyo; President & Representative Director: Katsuyuki Tomizawa; hereinafter "RYODEN"), systematically teaching state-of-the-art AI agent development. With the rapid spread of generative AI and large language models (LLMs), demand is growing for autonomous operations using agent technology in the manufacturing, logistics, and infrastructure fields as well. The Company continually researches, develops, and gathers information on the latest AI technology, and drew on the expertise and technical capabilities it has cultivated to support the training of personnel driving on-site DX at RYODEN.
◾️Overview of this training course
With the global evolution of LLMs, AI agents are attracting attention as an important technology for driving corporate DX. The engine behind this is MCP (Model Context Protocol), an open standard that instantly connects generative AI with internal systems and external tools, and it is drawing expectations as a key technology for accelerating DX across a wide range of industries.
In response to this trend, the Company held a four-session hands-on AI agent development course weekly from May 9 to May 30, 2025, for RYODEN's technology and DX promotion divisions.
■ Course content
Session 1: Overview of AI agents and introduction to LangChain and LangGraph
Deepen understanding through simple hands-on exercises while learning the concept of AI agents and the basics of LangChain and LangGraph
Session 2: Building an AI agent
Implement an agent closer to real-world practice
Full-scale hands-on work that moves closer to actual operations, such as integrating multiple tools
Session 3: Reasoning and evaluating AI agents
Understanding and implementing AI agent reasoning and Chain-of-Thought
Learn key points for evaluating and improving agents
Session 4: Multi-agent: MCP and A2A
Get a grasp of advanced topics such as MCP and Agent2Agent
Learn from real examples of multi-agent collaboration and integration with external services
◾️Expected effects
As a result of this course, RYODEN has already begun adopting MCP. We are delighted that the knowledge and practical skills gained through this course led directly to results.
1. A significant increase in development efficiency
By mastering LangGraph/LangChain templates and evaluation frameworks, it becomes possible to shorten project launch periods compared to before.
2. Promoting business transformation through AI adoption
By combining the latest RAG technology with agent design, solutions directly tied to practical work — such as advanced search of equipment manuals on manufacturing floors and automatic generation of work procedures — can be rapidly deployed.
3. Developing next-generation DX talent
Through practical hands-on training, this achieves the development of advanced engineers who can not only use AI but also develop and customize it to fit their own company's needs.
Using the knowledge and technical capabilities gained through this training, we aim to accelerate digital transformation in RYODEN's manufacturing and logistics fields and create more advanced customer value.
■ About RYODEN Corporation
Company name: RYODEN Corporation
Representative: President & Representative Director Katsuyuki Tomizawa
Address: 3-15-15 Higashi-Ikebukuro, Toshima-ku, Tokyo 170-8448
Founded: April 22, 1947
Capital: ¥10,334,298,875 (as of March 31, 2024)
Number of employees: 1,360 (consolidated, as of March 31, 2024)
URL: https://www.ryoden.co.jp/
Business description: FA systems business, refrigeration and building systems business, electronics business, X-Tech (cross
tech) business, smart agriculture, healthcare, and ICT
Track record in the AI field:
Remote monitoring solution for rats and pests: "Pescle"
https://www.ryoden.co.jp/pescle
Rapid microbial detection method combining fluorescent staining with AI image processing technology: "FLOX-AI"
https://www.ryoden.co.jp/business/solution/detail/9
RYODEN's purpose is "to give shape to excitement through the power that connects people and technology," and toward realizing an "excellent company that co-creates the future," it continues to evolve into a company the world can be proud of, creating value together with all stakeholders through its corporate activities.
Drawing on a network of more than 2,000 partner companies, RYODEN continually fuses new technologies to create solutions for the future. Building on the technology of its core FA systems, refrigeration and building systems, and electronics businesses, it also addresses social issues such as smart agriculture, the digitalization of healthcare, and decarbonization, innovating what lies ahead with fresh thinking.