Did you know that deep learning is being used in various fields?
Deep learning is an important technology for implementing AI and promoting in-house DX. As digitalization progresses, various companies and organizations are in need of AI and DX human resources who can perform tasks using deep learning. For this reason, attention is focused on qualifications that prove that you have the skills and knowledge to use deep learning in your work.
This article introduces deep training qualifications and the benefits of obtaining such qualifications.
Table of contents
- What is deep running
- 3 Benefits of Acquiring Deep Learning Related Qualifications
- (1) Acquisition of practical knowledge
- (2) Finding a job or changing jobs
- ③ Participation in networking events
- Representative deep learning-related certifications and qualifications
- ① G test (for generalists)
- ② E qualification (for engineers)
- Qualifications Similar to Deep Learning Tests
- Python3 Engineer Certification Data Analysis Exam
- Image processing engineer certification
- 2022 Qualifying Exam Schedule
- Summary
What is deep running
Deep learning is a technology that enables computers to automatically discover the characteristics of large amounts of data without human intervention.
In addition, deep learning enables image recognition, voice processing, natural language processing , and anomaly detection by robots, and has extremely high accuracy, making it useful in our daily lives.
Specifically, it is used in fields such as autonomous driving and medical equipment, and in particular, autonomous driving uses a large amount of data to perform analysis in order to detect pedestrians and recognize signs, traffic lights, road conditions, etc. .
3 Benefits of Acquiring Deep Learning Related Qualifications
The benefits of acquiring a deep learning-related qualification are as follows.
- Acquiring practical knowledge
- Job or job change
- Participation in networking events
(1) Acquisition of practical knowledge
In the present age where AI has been utilized in various fields, deep learning technology has become indispensable and further development is expected.
Already, non-engineers such as marketing and management planning positions in some companies are required to have skills to utilize AI.
A large amount of data is required to make optimal decisions on policies and plans, but it is difficult and time-consuming to manually verify it.
Therefore, by utilizing deep learning, it is possible to improve the efficiency of operations and solve problems. The importance of so-called “AI masters” who can think about what kind of data can be used to solve corporate issues and make plans is increasing.
Therefore, from now on, knowledge of deep learning utilization will be required not only for engineers but also for human resources involved in corporate management.
(2) Finding a job or changing jobs
Currently, AI is used in various fields, but in Japan there is a shortage of human resources who can operate and develop AI.
Therefore, it is said that the demand for AI human resources in Japan is increasing, even though there is a serious shortage of AI human resources in Japan.
In particular, the demand for AI engineers who can implement deep learning is increasing very much, so having a certification will be advantageous in finding a job or changing jobs.
③ Participation in networking events
Among deep learning-related qualifications, if you pass the deep learning test, you can participate in various communities hosted by the Deep Learning Association.
In the community, you can learn things you don’t know about deep learning, learn case studies, hear failure stories, etc. from people with more technology and knowledge.
Also, when you are worried about finding a job or changing jobs, it may be useful to make connections in the community.
Representative deep learning-related certifications and qualifications
The two representative deep learning-related certifications and qualifications are:
- G test (for generalists)
- E qualification (for engineers)
① G test (for generalists)
The G test is a qualification test for generalists operated by the Deep Learning Association of Japan.
We will test whether you have the basic knowledge of deep learning, decide on an appropriate utilization policy, and have the ability and knowledge to utilize it in business.
With this qualification, you will be able to acquire the knowledge to properly apply deep learning to your business.
| Implementation overview | Exam time: 120 minutesKnowledge questions (multiple choice, about 220 questions)
Online implementation (take the exam at home) |
| Question range | ・What is artificial intelligence (AI)? (Definition of artificial intelligence)・Trends in artificial intelligence
・Problems in the field of artificial intelligence ・Specific methods of machine learning ・Overview of deep learning ・Deep learning method ・Toward social implementation of deep learning |
| Exam fee | General: 13,200 yen (tax included)Student: 5,500 yen (tax included)
Half price if within 2 years from the test date (general: 6,600 yen, student: 2,750 yen) |
| Application URL | https://www.jdla-exam.org/d/ |
Details are posted on the website of the Deep Learning Association of Japan.
② E qualification (for engineers)
The E qualification is a qualification exam for engineers operated by the Deep Learning Association of Japan.
We certify that you have the ability and knowledge to understand the theory of deep learning and to select and implement appropriate methods.
| eligibility | Have completed a JDLA certification program within the past two years prior to the exam date |
| Implementation overview | Exam time: 120 minutesKnowledge questions (multiple choice, about 100 questions)
Take the test at a designated test center in each region |
| Question range | ・Applied Mathematics・Machine learning
・Deep learning ・Development and operation environment |
| Exam fee | General: 33,000 yen (tax included)Student: 22,000 yen (tax included)
Member: 27,500 yen (tax included) |
| Application URL | https://www.pearsonvue.co.jp/Clients/JDLA.aspx |
The JDLA certification program is a course that develops human resources who understand the theory of deep learning and have the ability to select and implement appropriate methods.
Various companies offer courses, and by attending the courses, you can take the E-test.
Details are posted on the website of the Deep Learning Association of Japan.
Qualifications Similar to Deep Learning Tests
Here are two qualifications that are similar to the deep learning test.
- Python3 Engineer Certification Data Analysis Exam
- Image processing engineer certification
Python3 Engineer Certification Data Analysis Exam
The Python3 engineer certification data analysis exam is a qualification exam for those who want to handle Python more advancedly in technologies such as machine learning and big data.
Python is characterized by its simple and easy-to-understand syntax, which allows you to write programs in a concise manner with a small amount of code, and is widely used from educational sites such as schools to cutting-edge research and development such as AI.
| Implementation overview | Exam date: all yearTesting Centers: Odyssey Communications CBT Testing Centers Nationwide
Number of questions: 40 (all multiple choice) |
| Main teaching material | Released on September 19, 2018 (2,678 yen including tax)”New Data Analysis Textbook with Python” (Shoeisha)
Authors: Manabu Terada, Shingo Tsuji, Takanori Suzuki, Shintaro Fukushima (titles omitted) |
| Question range | Questions from Shoeisha’s “New Data Analysis Textbook with Python”, the main teaching material |
| Exam fee | 10,000 yen (excluding tax)Student discount 5,000 yen (excluding tax) |
| passing line | Correct answer rate 70% |
| Application URL | http://cbt.odyssey-com.co.jp/pythonic-exam.html |
The scope of questions and other details are listed on the website of the Association for the Promotion of Python Engineer Development.
Image processing engineer certification
The Image Processing Engineer Certification is a certification that evaluates acquisition of the knowledge necessary for development and design in the field of image processing.
Engineers, programmers, developers/researchers, etc. are assumed occupations.
| Implementation overview | Mark sheet format 10 questionsMultiple applications possible |
| Question range | Knowledge for developing software, systems, products, etc. for industrial fields, medical applications, remote sensing, robot vision, traffic flow measurement, virtual studios, imaging products, etc. |
| Exam fee | Basic 5600 yen (tax included)Expert 6700 yen (tax included) |
| passing line | 70 points |
| Application URL | https://www.cgarts.or.jp/kentei/application/index.html |
The scope of questions and other details are posted on CG-ARTS.
2022 Qualifying Exam Schedule
We will introduce the 2022 version of the qualification schedule for deep running introduced this time.
Summary
Introduced qualifications related to deep learning.
Deep learning is being used in various fields, so having a qualification in the future will lead to a job that makes use of your skills.
