A deep learning course that is practical and effective in the field within 3 months.
AI acquisition
JDLA Certified Program. The pass rate for new participants has exceeded 85% for six consecutive terms in this e-learning course.
This course systematically teaches knowledge and techniques related to deep learning, focusing on practical processing and practical methods necessary for real-world applications, starting from the mathematical foundational principles. The goal of this course is to acquire the skills of engineers who implement deep learning. While systematically acquiring mathematical foundational principles, the course emphasizes learning practical processing and methods needed in the field. The aim is to develop skills that can be applied when facing unknown challenges on-site. ■ Learning Items Applied Mathematics (6H) / Machine Learning (5H) / Deep Learning (30H) * Corresponds to the latest syllabus for the E qualification. - Sample source code (over 10 units of machine learning, over 20 units of deep learning) - Completion test (certification mock exam) - More than 180 exercise problems - E qualification exam preparation set (E qualification mock exercises 1, 2, plus 5 points! Last-minute preparation course, paper explanation, etc.)
Inquire About This Product
basic information
E-learning is available tailored to the learner's level. Applied Mathematics: Approximately 6 hours Machine Learning: Approximately 5 hours Deep Learning: Approximately 30 hours ■Prerequisites Knowledge of mathematics up to high school level and programming experience are required. The type of programming language does not matter. *If you lack mathematical knowledge or knowledge of Python, please make sure to study thoroughly using the preparatory materials (AI Implementation Certification Level A Official Textbook "Introduction to Super AI") provided at the beginning. ■Target Audience - Those aiming to pass the E Qualification Exam (organized by the Japan Deep Learning Association) ■Learning Objectives - Understand the theory of deep learning and be able to select and implement appropriate methods - Acquire the foundational knowledge and skills necessary to pass the E Qualification Exam (organized by the Japan Deep Learning Association) ■Standard Learning Time Approximately 41 hours *Those aiming to take the E Qualification Exam will need an additional approximately 170 hours of study. This course is provided as e-learning by Study-AI.
Price information
495,000 yen (tax included) per person. For group applications, the tuition fee for the second person and beyond will be discounted to 100,000 yen per person. E-learning license period: From the start of the course until August 31, 2024. Volume licenses for corporations are also available. Please inquire for more details.
Price range
P3
Delivery Time
P3
Applications/Examples of results
Voices of Successful Candidates #Excerpt ■What was good about taking the exam? I was pleased to realize that if I put my mind to it, I could create my own deep learning engine. There is a world of difference between using Keras/TensorFlow as a magical black box without understanding it and using it with comprehension. ■How do you utilize the E qualification within your company? I have come to believe that if I want to, I can transfer to other departments related to AI or even change companies. Conversely, this has made me feel motivated to try a little harder in my current position (SI).
catalog（1）
Download All Catalogs
Company information
Our company contextualizes the elements related to solving customer challenges and produces content for video production and human resource development. We plan and produce high-quality and efficient videos tailored to corporate needs. These videos are effective for employee training, recruitment activities, corporate and service introductions, sales presentations, and manual production. Employee training content production: We design content based on the company's goals, expectations, and current situation. By understanding market needs, customer requests, and internal resources, we contribute to the training of DX personnel and the deepening of understanding of SDGs. We create various educational materials, including case study videos, narrated teaching slides, chroma key lecture recordings, and animations. Not only do we produce content, but we also support follow-up and improvement measures after production as part of our marketing initiatives. Marketing and content production through contextualization: We understand the market, customers, and internal resources, and we plan, produce, and operate strategies aimed at achieving business goals through contextualization. Please feel free to consult us if you have any requests.