New Free Course on Developing Embedded AI Apps Launched by Paiza Learning

Paiza Learning Launches Course on Embedded AI Application Development

In an exciting new development for IT professionals, Paiza, a job-seeking and learning platform based in Tokyo, has launched a free course on embedded AI app development. This course is developed in collaboration with IGSA, a startup originating from the prestigious University of Tokyo Matsuo Laboratory. With the rapid advancements in generative AI, especially large language models (LLMs), this practical course aims to equip business leaders, planners, product managers, and application developers with the essential skills and insights needed to navigate the complexities of developing AI-driven products.

Course Overview

The course, entitled "Fundamentals of Planning and Developing Embedded AI Applications," comprises two lessons and 19 video lectures designed to help participants understand the pivotal aspects of AI implementation. Key topics include overcoming challenges related to performance, cost, and safety while cultivating decision-making skills that lead to tangible business outcomes. The course emphasizes the critical transition from proof of concept (PoC) to practical implementation, which is often fraught with obstacles.

Background of Development

As digital transformation (DX) becomes increasingly crucial for businesses to maintain competitiveness and growth, many Japanese companies are making strides in this area. However, many face challenges in achieving the desired results, leading to sporadic project implementations that often fail to deliver anticipated outcomes. A significant underlying issue is the shortage of advanced IT talents who can merge AI knowledge with business acumen.

The advent of LLMs, exemplified by technologies like ChatGPT, presents new opportunities for businesses to enhance operational efficiency and develop innovative services. However, the transition from PoC to real-world applications is fraught with challenges, including issues of hallucination, security risks, and, notably, a dearth of practitioners with the necessary hands-on skills.

This course aims to address these structural challenges by providing concrete solutions to foster the next generation of 'DX human resources' and 'AI specialists' through a thorough understanding of the three critical factors in product development: performance, cost, and safety.

Course Features

Targeted at executives, planners, product managers, and application developers considering integrating LLMs into product development, the course is meticulously structured to guide learners through the entire process from planning to execution.

- Course Name: Fundamentals of Planning and Developing Embedded AI Applications
- Course URL: Paiza Course Link

Lesson Breakdown

1. AI Paradigm Shift Lesson (6 Chapters)
- Explore the history of AI and the advent of deep learning. This section discusses the automation of feature extraction and the challenges related to data preparation costs and lack of generalizability.
- Delve into self-supervised learning and transformer architecture, which led to the emergence of LLMs.

2. LLM Product Development Lesson (13 Chapters)
- Offers a comprehensive analysis of the practical issues faced in product development utilizing LLMs, focusing on addressing performance, cost, and safety challenges.
- Discuss design and operational optimization, security governance, and continual quality improvement.

Upcoming Event: AI Technology in Practice

In celebration of the course launch, Paiza and IGSA will host an online event on November 25, 2025. The event titled “AI Implementation Frontline: Ideal vs. Reality - Evaluation and Performance Improvement of RAG” will provide further insight from IGSA experts.

- Event Date: November 25, 2025
- Location: Online
- Registration: Free of charge with prior registration required

- Register Here

Insights from Company Leaders

Soichiro Matsushima, CEO of IGSA:
“Generic AI technologies, especially since the advent of ChatGPT, have made significant inroads into society. While many products have struggled with cost, performance, and security issues, advancements in AI are making it increasingly viable for effective social implementation.”

Ryohei Katayama, CEO of Paiza:
“Equipping individuals who can integrate LLMs into products is crucial for businesses. This course exemplifies our mission to support the IT industry by addressing the challenges firms face.”

About IGSA and Paiza

IGSA aims to create sustainable happiness through AI technologies rooted in traditional Japanese values. Paiza serves as a unique job-seeking and learning platform for IT engineers, showcasing a promising path for career advancement and skill development.

To learn more about their innovative services and capabilities, visit their websites: