2022

Date & Time:  
(Japan Standard Time)

27 Feb 2023
17:00 PM-20:00 PM

Participants    
Target

 

Upper limit No.   

In principle, managers, executives, financial officers, or those who are expected to be handling financial operations in a company in African countries. * Over 18 years old.

100 participants

Date & Time:  
(UTC/GMT)

Live Online Lecture:
(1)    17 Jan 2023 / 08:30 AM – 10:00 AM
(2)    7 Feb 2023 / 08:30 AM – 10:00 AM
E-Learning:  17 Jan 2023 – 15 Feb 2023

Participants    
Target

Upper limit No.   

African businesspersons those who

belong to a company located in an African country and need data analysis skills and/or want to work as a machine learning (AI) engineer in near future, and

already have a basic knowledge of Python and data analysis (as learned in Course 1 & 2).
*Assessment test required for those who wish to take the course (exempted for those who have taken Course 1 & 2 [ORAF12-13]).

30    participants
Note: Recommended to participate in Course 4 also, after the completion of this Course.

Date & Time (Japan Time)

14 Feb 2023
5:30 PM - 8:30 PM

Participants    
Target

Upper limit No.   

In principle, directors, managers, and supervisors of companies in African countries. Managers and experts of the organization which promote 5S and kaizen and academicians are also accepted.

100 participants

Date & Time (UTC/GMT)

30 Nov 2022 / 08:30-10:30AM (UTC/GMT)
* For those who missed: available until 08:00AM on 14 Dec. (UTC)

Participants    
Target

Upper limit No.   

In principle, managers and technicians of automobile-related companies located in African countries, such as automobile manufacturing companies, automobile parts manufacturing companies, car dealers, car maintenance companies, used car dealers, etc.

100 participants

Date & Time (UTC/GMT)

6 Dec 2022 / 08:30-09:15AM (UTC/GMT)
* For those who missed: available until 08:00AM on 20 Dec. (UTC)

Participants    
Target

Upper limit No.   

In principle, managers and technicians of automobile-related companies located in African countries, such as automobile manufacturing companies, automobile parts manufacturing companies, car dealers, car maintenance companies, used car dealers, etc.

100 participants

Date & Time (UTC/GMT)

8 Dec 2022 / 08:30-09:45AM (UTC/GMT)
* For those who missed: available until 08:00AM on 22 Dec. (UTC)

Participants    
Target

Upper limit No.   

In principle, managers and technicians of automobile-related companies located in African countries, such as automobile manufacturing companies, automobile parts manufacturing companies, car dealers, car maintenance companies, used car dealers, etc.

100 participants

Date & Time (UTC/GMT)

14 Dec 2022 / 08:30-09:30AM (UTC/GMT)
* For those who missed: available until 08:00AM on 28 Dec. (UTC)

Participants    
Target

Upper limit No.   

In principle, managers and technicians of automobile-related companies located in African countries, such as automobile manufacturing companies, automobile parts manufacturing companies, car dealers, car maintenance companies, used car dealers, etc.

100 participants

Date & Time (UTC/GMT)

Live Online Lecture:
(1) 2 Nov 2022 / 08:30 AM – 10:00 AM
(2) 22 Nov 2022 / 08:30 AM – 10:00 AM
E-Learning:  2 Nov 2022 – 1 Dec 2022

Participants    
Target

Upper limit No.   

Those who belong to a company located in an African country and need data analysis skills and/or want to work as a machine learning (AI) engineer in near future.

Those who are able to prepare a PC (check “Details” for required specifications) and internet connection environment necessary for e-learning.

40    participants
Note: Recommended to participate in Course 2, after the completion of this Course.

Date & Time (UTC/GMT)

 Online Lecture:
(1) 15 Nov 2022 / 09:00 AM – 12:00 AM (Egyptian Time)
(2) 16 Nov 2022 / 09:00 AM – 12:00 AM (Egyptian Time)
(3) 17 Nov 2022 / 09:00 AM – 12:00 AM (Egyptian Time)

Participants

Target






Upper limit No.   

• Decision makers such as field supervisors, senior engineers and procurement professionals in the field of processing plants, ports and harbors, railway, infrastructure and engineering industries.
• Professors and Research staff from educational institutions such as engineering universities and companies are also welcome.

100 participants