Post-Certification Program Training: Simultaneous Publication of E-Certification Practice Books for August Exam
JF Solutions has published two volumes of practice books for the JDLA E-Certification exam (2026/2nd). Covering the entire syllabus with over 450 problems, the books aim to support examinees in their final preparation.
📋 Article Processing Timeline
- 📰 Published: May 21, 2026 at 19:00
- 🔍 Collected: May 21, 2026 at 10:31
- 🤖 AI Analyzed: May 21, 2026 at 10:39 (8 min after Collected)
## Background and Challenges
The application period for the JDLA E-Certification (2026/2nd) is approaching. Completion of a JDLA-certified program is a prerequisite, and many candidates take these programs with corporate sponsorship.
While candidates acquire the necessary knowledge through these programs, the anxiety of whether they can actually apply it in an exam setting remains. As the exam date nears, concerns about tricky questions and gaps in understanding grow. Building up practice and organizing knowledge now is crucial for a confident finish.
## Book Overview
These practice books serve as supplementary reading to complement certified programs. They cover the full range of the E-Certification Syllabus 2026 (v1.0) across two volumes, allowing for integrated review from knowledge organization to practical problems. Starting now ensures sufficient practice time before the August exam.
The volumes contain over 450 practical exercises in total. Explanations for all four options elevate candidates from being able to select the correct answer to being able to explain the validity of each option.
- Volume 1: Mathematical Foundations, Machine Learning, and Basics of Deep Learning
- Volume 2: DL Applications, Generative Models, Reinforcement Learning, and Development Environments
Designed to help candidates decide where to invest their remaining time by clarifying the overall exam structure and priority areas in Chapter 0.
## Key Features
- Complements certified programs with a section-based structure for checking understanding.
- Includes explanations for all four options, helping candidates handle new problems by understanding why incorrect options are wrong.
- Fully compliant with Syllabus 2026 (v1.0) to minimize risks of knowledge gaps.
- References the sister series, "AI Core: Theory Edition," for deeper exploration of topics needing improvement.
## Bibliographic Information
| Volume | Title | Price (incl. tax) | Pages |
| :--- | :--- | :--- | :--- |
| Vol. 1 | Mathematical Foundations, ML, and DL Basics | 4,800 JPY | 591 |
| Vol. 2 | DL Applications, GenAI, RL, and Environments | 4,800 JPY | 475 |
- Author: Hitoshi Furoi (JF Solutions Co., Ltd.)
- Imprint: JF Press
- Release Date: April 2026 (Digital Edition)
- Platforms: Amazon Kindle, Rakuten Kobo, Google Play Books (Apple Books coming soon)
- Syllabus: JDLA E-Certification Syllabus E2026#2
## About JF Solutions Co., Ltd.
Specializing in DX, IT, and PMO consulting, the company also operates AI education and publishing businesses. Representative Director Hitoshi Furoi, who holds multiple national qualifications, publishes the "AI Core" and "AI Career" series with the goal of fostering human resources that reduce the failure rate of AI projects.
The application period for the JDLA E-Certification (2026/2nd) is approaching. Completion of a JDLA-certified program is a prerequisite, and many candidates take these programs with corporate sponsorship.
While candidates acquire the necessary knowledge through these programs, the anxiety of whether they can actually apply it in an exam setting remains. As the exam date nears, concerns about tricky questions and gaps in understanding grow. Building up practice and organizing knowledge now is crucial for a confident finish.
## Book Overview
These practice books serve as supplementary reading to complement certified programs. They cover the full range of the E-Certification Syllabus 2026 (v1.0) across two volumes, allowing for integrated review from knowledge organization to practical problems. Starting now ensures sufficient practice time before the August exam.
The volumes contain over 450 practical exercises in total. Explanations for all four options elevate candidates from being able to select the correct answer to being able to explain the validity of each option.
- Volume 1: Mathematical Foundations, Machine Learning, and Basics of Deep Learning
- Volume 2: DL Applications, Generative Models, Reinforcement Learning, and Development Environments
Designed to help candidates decide where to invest their remaining time by clarifying the overall exam structure and priority areas in Chapter 0.
## Key Features
- Complements certified programs with a section-based structure for checking understanding.
- Includes explanations for all four options, helping candidates handle new problems by understanding why incorrect options are wrong.
- Fully compliant with Syllabus 2026 (v1.0) to minimize risks of knowledge gaps.
- References the sister series, "AI Core: Theory Edition," for deeper exploration of topics needing improvement.
## Bibliographic Information
| Volume | Title | Price (incl. tax) | Pages |
| :--- | :--- | :--- | :--- |
| Vol. 1 | Mathematical Foundations, ML, and DL Basics | 4,800 JPY | 591 |
| Vol. 2 | DL Applications, GenAI, RL, and Environments | 4,800 JPY | 475 |
- Author: Hitoshi Furoi (JF Solutions Co., Ltd.)
- Imprint: JF Press
- Release Date: April 2026 (Digital Edition)
- Platforms: Amazon Kindle, Rakuten Kobo, Google Play Books (Apple Books coming soon)
- Syllabus: JDLA E-Certification Syllabus E2026#2
## About JF Solutions Co., Ltd.
Specializing in DX, IT, and PMO consulting, the company also operates AI education and publishing businesses. Representative Director Hitoshi Furoi, who holds multiple national qualifications, publishes the "AI Core" and "AI Career" series with the goal of fostering human resources that reduce the failure rate of AI projects.
FAQ
Who is this prep book for?
It is intended for individuals who have completed the JDLA certification program and want to conduct practical exercises and organize their knowledge before the exam.
What is the difference between Volume 1 and Volume 2?
Volume 1 covers math, machine learning, and basic deep learning, while Volume 2 covers DL applications, generative models, reinforcement learning, and development environments.
Are the explanations detailed?
Yes, detailed explanations are provided for all four options to help candidates understand why incorrect answers are wrong.