iLect Academy 2026: AI Research Institute NABLAS Launches Enrollment for JDLA-Certified Deep Learning Course 'DL4E 2026 Summer & Autumn'

AI Research Institute NABLAS has started accepting applications for its JDLA-certified deep learning course, "DL4E 2026 Summer & Autumn." This course aims to develop AI talent, supports E-qualification acquisition, and is eligible for the Specialized Practical Education and Training Benefit System, providing up to 80% of tuition fees.
新製品NQ 40/100出典:PR Times

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  • 📰 Published: April 7, 2026 at 19:00
  • 🔍 Collected: April 7, 2026 at 10:31
  • 🤖 AI Analyzed: April 21, 2026 at 00:16 (325h 45m after Collected)
NABLAS Corporation, operating as a comprehensive AI research institute (Headquarters: Hongo, Bunkyo-ku, Tokyo; Representative Director and President: Kotaro Nakayama; hereinafter "the Company"), has commenced accepting applications for "DL4E 2026 Summer & Autumn," a foundational course designed for those seeking to acquire practical deep learning skills and obtain the E-qualification. This course is part of the iLect AI talent development service, aimed at solving real-world challenges. This program is eligible for the Specialized Practical Education and Training Benefit System, allowing participants to receive up to 80% of the tuition fee if they meet the requirements.

## About iLect Academy
iLect is a practical AI talent development service provided by the Company to solve real-world problems. It conducts AI talent development businesses by formally licensing deep learning foundation courses and data scientist training courses developed at the University of Tokyo. The courses are characterized by practical content centered on exercises using authentic data and high learning effectiveness designed based on educational engineering. Typically, iLect Enterprise holds AI talent development courses for individual companies, but iLect Academy holds courses jointly with multiple companies. Applications are accepted for 1 to 10 participants per company, or for individuals affiliated with a company.

## Features of This Course
### Practical Curriculum Immediately Applicable in Business
Aiming not only for E-qualification success but also for acquiring practical skills in model building and data processing using PyTorch, fostering the ability to immediately contribute as an active member in the field after completion. Comprehensive learning covers everything from basics like probability and statistics and information ethics, to machine learning, image recognition using CNN, VAE, GAN, Transformer, natural language processing, LLM, deep reinforcement learning (DQN), and development and operational environments.

### Optimal Schedule Aligned with the E-qualification Exam
The DL4E 2026 Summer course runs from May 14 to August 6, 2026. Completing it grants eligibility to take the E-qualification exam as stipulated by JDLA. The next exam, "E2026#2," is scheduled from Friday, August 28 to Sunday, August 30, 2026, providing an optimal schedule for candidates to take the exam smoothly while the knowledge is still fresh.

### (For Corporations and Business Owners) Up to 75% of Tuition Eligible for Human Resources Development Subsidy
This program falls under the "Investment in People Promotion Course" and advanced digital talent training of the Human Resources Development Subsidy. Up to 75% of the tuition fee (¥408,900) is eligible for subsidization, and a wage subsidy of up to ¥960 per person per hour is also provided.
* Please refer to the respective web pages of the Ministry of Health, Labour and Welfare for details.

### (For Individual Learners) Up to 80% Grant Available Through the Specialized Practical Education and Training Benefit System
This program is a designated course under the "Specialized Practical Education and Training Benefit System" by the Minister of Health, Labour and Welfare. Individuals who meet certain requirements can receive 50% to a maximum of 80% of the tuition fee (¥408,900) as a grant by completing advance procedures at Hello Work, significantly reducing their out-of-pocket expenses. * 50% is provided upon course completion, and additional grants can be received by meeting conditions such as passing the E-qualification exam.

## Target Audience
- Those who wish to acquire practical PoC promotion skills to consistently execute from model selection to accuracy improvement in AI implementation projects.