Human Academy Newly Opens the 'AI Standard Course' for Non-Engineers, Supervised by the Deputy Director of Chiba Tech fuRo
Human Academy will launch an 'AI Standard Course' in April 2026 for non-engineers, supervised by Chiba Tech's fuRo. It focuses on cultivating 'inventive thinking' to solve problems using AI with Japanese instructions instead of coding.
📋 Article Processing Timeline
- 📰 Published: April 24, 2026 at 23:00
- 🔍 Collected: April 24, 2026 at 14:31
- 🤖 AI Analyzed: April 24, 2026 at 23:53 (9h 22m after Collected)
Human Academy Co., Ltd. (Headquarters: Shinjuku-ku, Tokyo, President: Tomonobu Tanaka, hereinafter "our company"), which operates an education business, will newly open the "AI Standard Course" on April 24, 2026, to develop human resources who can autonomously plan problem-solving by changing the true nature of AI from a "black box" to a "tool whose mechanism is understood." This course was developed primarily by Deputy Director Masaharu Shimizu, under the supervision of Dr. Takayuki Furuta, Director of the Future Robotics Technology Center (fuRo) at the Chiba Institute of Technology, a global robot research hub. Rather than moving hands to write code, it is an unprecedented experiential program that cultivates an "inventive thinking" that does not depend on specific tools by giving instructions to AI in "Japanese" and inventing new plans by combining various tools.
[Points of this matter]
- Development supervised by the Director and produced by the Deputy Director of the Future Robotics Technology Center (fuRo), Chiba Institute of Technology
- Acquisition of lifelong "inventive thinking" and literacy that do not depend on specific tools
- A practical program that understands the behind-the-scenes of system construction and fosters the "ability to instruct AI in Japanese" rather than the ability to write code
[Development Background] "Hollowing out of AI skills" faced by 70% of companies
With the spread of AI technology, the corporate introduction rate has reached 57.7% (*1), but 70.3% of companies cite "lack of skills and literacy among employees" as the biggest barrier to introduction. In addition, only 14.0% (*2) of the segment felt that they were able to achieve "concrete application to operations" even after taking learning programs. There is a problem that generally widespread specific input instructions (prompts) do not lead to utilization in actual business settings.
What is required in the upcoming AI era is "inventive thinking" to master AI and solve unknown difficulties. We developed this course with the desire that people learn not just how to use tools, but the "foundation (literacy)" of the structure and mechanism behind how AI works, and acquire essential skills that will be useful even as times change.
(*1) Source: Nomura Research Institute (NRI): Survey on the actual state of IT utilization in user companies "IT Utilization Fact-Finding Survey"
(*2) Source: Japan Reskilling Consortium member questionnaire survey "Questionnaire Survey for AI Reskilling Practitioners" (announced in December 2025)
[Learning Content] "AI Literacy and Skill Acquisition Curriculum" for non-engineers
1. A systematic curriculum to know the "behind the scenes of AI"
Understand as concepts what roles the basic structure of Python and the basic configuration that runs web applications play.
2. Acquisition of inventive thinking and planning ability
Learn the method of "planning solutions" for your company's business issues by combining existing functions (APIs) and cloud AI.
3. Flexible video teaching materials and learning support by AI
In addition to video teaching materials that can be viewed repeatedly, a system is in place where even beginners in programming can complete the course without stumbling, thanks to 24-hour AI chat support trained exclusively for this course.
[Flow of Learning]
Acquire skills to master AI as a tool even for non-engineers in 3 steps.
Rather than ending with operations and tasks to memorize how to use specific tools, the aim is to develop human resources with "inventive thinking" who can understand the essence and apply it to business even when new technologies emerge in the future.
Step 1: "Peeking" inside -- Knowing the mechanism
"Disassemble" a completely mysterious AI application, like taking a clock apart, to check its contents (map).
By understanding the "behind the scenes" of how AI works, you will be able to confidently give instructions in your own words without throwing everything to engineers.
Step 2: "Being moved" by making it work -- Experiencing the mechanism
By actually running and experiencing AI in an environment prepared in advance on the web, you will feel firsthand the "growth process" in which AI gets smarter by reading images and data.
Through podcast-style video teaching materials, you can feel the mechanism of AI firsthand while enjoying it as if listening to a dialogue between a teacher and a student. The lecture audio itself is also generated by AI, and the technology to be learned shapes the teaching materials.
Step 3: "Connecting" like a puzzle -- Creating a solution
Learn how to select convenient AI functions published around the world from a catalog and connect them like "puzzle pieces." Without writing difficult code, you will be able to plan your "own tool" to solve the business issues in front of you just with Japanese instructions.
[Development Cooperation]
Future Robotics Technology Center (fuRo), Chiba Institute of Technology
Director Takayuki Furuta (Supervision) / Deputy Director Masaharu Shimizu (Production)
"In the AI era, what is most valuable is knowledge backed by experience..."
[Points of this matter]
- Development supervised by the Director and produced by the Deputy Director of the Future Robotics Technology Center (fuRo), Chiba Institute of Technology
- Acquisition of lifelong "inventive thinking" and literacy that do not depend on specific tools
- A practical program that understands the behind-the-scenes of system construction and fosters the "ability to instruct AI in Japanese" rather than the ability to write code
[Development Background] "Hollowing out of AI skills" faced by 70% of companies
With the spread of AI technology, the corporate introduction rate has reached 57.7% (*1), but 70.3% of companies cite "lack of skills and literacy among employees" as the biggest barrier to introduction. In addition, only 14.0% (*2) of the segment felt that they were able to achieve "concrete application to operations" even after taking learning programs. There is a problem that generally widespread specific input instructions (prompts) do not lead to utilization in actual business settings.
What is required in the upcoming AI era is "inventive thinking" to master AI and solve unknown difficulties. We developed this course with the desire that people learn not just how to use tools, but the "foundation (literacy)" of the structure and mechanism behind how AI works, and acquire essential skills that will be useful even as times change.
(*1) Source: Nomura Research Institute (NRI): Survey on the actual state of IT utilization in user companies "IT Utilization Fact-Finding Survey"
(*2) Source: Japan Reskilling Consortium member questionnaire survey "Questionnaire Survey for AI Reskilling Practitioners" (announced in December 2025)
[Learning Content] "AI Literacy and Skill Acquisition Curriculum" for non-engineers
1. A systematic curriculum to know the "behind the scenes of AI"
Understand as concepts what roles the basic structure of Python and the basic configuration that runs web applications play.
2. Acquisition of inventive thinking and planning ability
Learn the method of "planning solutions" for your company's business issues by combining existing functions (APIs) and cloud AI.
3. Flexible video teaching materials and learning support by AI
In addition to video teaching materials that can be viewed repeatedly, a system is in place where even beginners in programming can complete the course without stumbling, thanks to 24-hour AI chat support trained exclusively for this course.
[Flow of Learning]
Acquire skills to master AI as a tool even for non-engineers in 3 steps.
Rather than ending with operations and tasks to memorize how to use specific tools, the aim is to develop human resources with "inventive thinking" who can understand the essence and apply it to business even when new technologies emerge in the future.
Step 1: "Peeking" inside -- Knowing the mechanism
"Disassemble" a completely mysterious AI application, like taking a clock apart, to check its contents (map).
By understanding the "behind the scenes" of how AI works, you will be able to confidently give instructions in your own words without throwing everything to engineers.
Step 2: "Being moved" by making it work -- Experiencing the mechanism
By actually running and experiencing AI in an environment prepared in advance on the web, you will feel firsthand the "growth process" in which AI gets smarter by reading images and data.
Through podcast-style video teaching materials, you can feel the mechanism of AI firsthand while enjoying it as if listening to a dialogue between a teacher and a student. The lecture audio itself is also generated by AI, and the technology to be learned shapes the teaching materials.
Step 3: "Connecting" like a puzzle -- Creating a solution
Learn how to select convenient AI functions published around the world from a catalog and connect them like "puzzle pieces." Without writing difficult code, you will be able to plan your "own tool" to solve the business issues in front of you just with Japanese instructions.
[Development Cooperation]
Future Robotics Technology Center (fuRo), Chiba Institute of Technology
Director Takayuki Furuta (Supervision) / Deputy Director Masaharu Shimizu (Production)
"In the AI era, what is most valuable is knowledge backed by experience..."