Kikagaku Launches Workshops in Cloud Infrastructure and AI for Young Engineers in Tokyo

Introduction

Kikagaku Inc., a company specializing in training personnel in AI and data utilization, has been selected as a training provider for the 'Tokyo Digital Academy Young Engineer Course' run by the Tokyo Metropolitan Government and GovTech Tokyo. The announcement marks a significant step towards enhancing the skills of young tech professionals in the Tokyo area, offering courses in two essential fields: Basic Cloud Infrastructure and AI/Machine Learning.

Course Overview

The Young Engineer Course is tailored for residents under the age of 35 who have practical experience in IT-related roles and are aspiring to work or transition into IT companies. Over a period of approximately four months, participants will engage in a comprehensive reskilling program that includes employment support, ensuring a hands-on learning experience.

Kikagaku aims to leverage its refined training content and learning support expertise cultivated through its engagements with private-sector companies, with a vision to foster the next generation of engineers who can navigate the complexities of modern technology and contribute to digital transformation (DX) in Tokyo.

Training Areas: Key Focus

Kikagaku’s training will concentrate on two pivotal areas within the Tokyo Digital Academy framework:
1. Basic Cloud Infrastructure Course: This program focuses on the design, construction, and operation of cloud infrastructure, aiming to produce young infrastructure engineers capable of balancing speed and reliability in development environments. Participants will deepen their understanding of:
- Fundamentals of public cloud services such as AWS
- Infrastructure as Code (IaC) and CI/CD automation
- Monitoring, operations, and security design
- Hands-on exercises simulating real-world scenarios

2. AI/Machine Learning Course: This course is designed to equip students with the skills needed to apply AI and machine learning technologies to business problems, preparing them to lead data utilization in the era of generative AI. Key learning points include:
- Basics of machine learning and deep learning
- Building and evaluating models using real datasets
- Implementing generative AI and utilizing large language models (LLMs)
- Hands-on training aligned with industry practices

Both courses employ a blended learning approach, incorporating online materials, hands-on exercises, and continuous support throughout the program.

Goals of the Tokyo Digital Academy Young Engineer Course

The course aims to enhance the career and income potential of young Tokyo residents while producing immediate workforce-ready digital transformation talent. The program not only provides skills training but also includes post-completion support such as partial funding assistance for course costs. Key objectives include:

- Delivering workforce-ready professionals skilled in cloud and AI
- Supporting individual career advancements and improved job conditions
- Accelerating digital competitiveness and DX initiatives across Tokyo

Kikagaku’s Value Proposition

Since its establishment, Kikagaku has focused on corporate training in AI and data science, with a proven track record of over 300,000 participants and collaborations with more than 1,000 companies and local governments. For the Young Engineer Course, Kikagaku will adapt its market-tested training methodologies to meet the needs of young engineers in Tokyo, ensuring that skills are not only learned but retained and ready for immediate application in the workplace.
The program builds on three critical pillars of value:
1. Hands-on Curriculum Aligned with Industry Needs: The training is designed to help participants acquire the skills demanded by the job market quickly, focusing on practical exercises with real data and environments to facilitate immediate application of learned concepts.
2. Dedicated Support for Each Participant: Utilizing mentorship systems and learning progress management developed through corporate training, Kikagaku will offer tailored support based on the individual’s comprehension and career aspirations, minimizing dropouts and fostering a comprehensive learning experience.
3. Skill Design Linked to Career Opportunities: The curriculum reflects the skill requirements dictated by industry demand, optimizing graduates’ choices for employment and career advancement, ensuring readiness to meet the criteria expected by Tokyo's IT companies.

Conclusion and Future Aspirations

With a growing shortage of IT talent in Tokyo, reskilling young engineers is imperative for supporting both the public sector and private companies. Through this initiative, Kikagaku aspires to contribute by: