[Tokyo Metropolitan Small and Medium Enterprise Promotion Corporation Reskilling Course Adoption] A training program that addresses the challenges of AI/DX implementation, minimizing introduction costs and achieving efficient operations!
This is a training program designed to acquire practical skills for the implementation of AI/DX. It starts with the basic concepts of AI, deepening understanding through case studies of implementations by other companies in the same industry and the latest AI algorithms, including ChatGPT. In particular, through hands-on exercises and project work, it fosters skills that connect theoretical knowledge to PoC (Proof of Concept) and full-scale implementation. Our training program is supported by research and development members gathered from over 10 countries, including the University of Tokyo, the French National Research Institute, and the University of Cambridge. Participants can catch up with cutting-edge technology and acquire the ability to use it effectively. We have strengths in AI quality assurance and explainable AI technology, and we also develop advanced autonomous driving AI, providing solutions that address real-world challenges. For companies looking to alleviate concerns and risks associated with AI implementation and connect it to practical applications, this program is an ideal choice. By utilizing support systems such as IT implementation subsidies, we can minimize implementation costs and achieve efficient operations.
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basic information
Details of Training Content Examples 1. Understanding Basic Concepts and Latest Technologies of AI - Learn the foundational theories of AI and the overall picture of modern AI technologies. 2. Practical Understanding of ChatGPT and AI Algorithms - Explore OpenAI's ChatGPT and other latest AI algorithms, learning about their mechanisms and applications. 3. Introduction and Discussion of AI Implementation Cases - Study AI implementation cases from companies in the same industry and different sectors, analyzing both successful and failed examples. 4. Hands-on Practice: Building and Evaluating AI Models - Participants will actually build AI models and evaluate their accuracy and performance in practical exercises. 5. Quality Control and Risk Management of AI Models - Learn management techniques and risk mitigation strategies to maintain the quality of AI models. 6. Project Practice: Flow and Implementation of AI Introduction - Practice project management techniques to successfully guide AI implementation from initial planning to Proof of Concept (PoC), full-scale introduction, and operational phases. *For details, please refer to the "Product Catalog" and contact us.
Price information
It varies depending on the course content, so please consult us.
Delivery Time
Applications/Examples of results
- I am interested in AI, but I don't know how to start specifically. - I am worried about being left behind in an era where technology is rapidly evolving. - I am anxious about whether I can actually master it and want to understand the risks in advance. - I want to go beyond just training and connect it to practical application.
catalog（7）
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Company information
Our company is an AI startup founded by researchers from the University of Tokyo and the French research institution Inria, with a mission to "improve quality and efficiency through advanced AI technology" specifically for the manufacturing and logistics industries. Our technology meets the needs of quality control, production technology, and DX promotion departments, enabling optimization of production processes and risk management. The founder, Yamamoto, has conducted AI research at Yahoo Japan and Inria, presenting results at top international conferences such as WWW and RecSys. Over 80% of our team consists of researchers who studied AI and computer science at world-class universities like the University of Tokyo, Cambridge, and Imperial College. With their international perspectives and advanced skills, we provide innovative solutions to quality control challenges. In particular, in mission-critical areas that emphasize the interpretability of AI, our XAI (explainable AI) technology brings transparency to the reasoning behind AI decisions for managers in quality control and production technology departments, supporting safer and more reliable system operations. This leads to improvements in production efficiency and quality, promoting sustainable growth in the manufacturing and logistics industries.