E-qualification Pass Experience Without Kurohon

9/15/2023•TensorFlow E-qualification

I passed the E-qualification, so I’ll summarize my study content.

What I want to convey

I recommend getting the TensorFlow Developer Certificate before the E-qualification
Official practice problems are important
Don’t give up until the end even if it doesn’t go as planned

Level before learning

Python is already learned (can solve or not solve Leetcode (overseas version of AtCoder) Middle level)
No prerequisite knowledge of machine learning
Non-engineer who enjoys personal development as a hobby

Study content

①	Nov 2022 - Feb 2023	Took DataCamp’s Machine Learning Scientist with Python
②	Mar-Apr 2023	Took TensorFlow Developer Certificate in 2023: Zero to Mastery
③	May 2023	Took DeepLearning.AI TensorFlow Developer Professional Certificate - Coursera
④	First half of June	Passed TensorFlow Developer Certificate on 2nd attempt
⑤	Second half of June	Took and completed zero to one E-qualification certification program speed package
⑥	July	Took a break from studying for online hackathon participation
⑦	First half of Aug	Couldn’t take study time due to work, etc..
⑧	Second half of Aug 2023	Did 2 rounds of practice problems from E-qualification certification program speed package (repeat 5-20 questions set until all correct, then go to next set)
⑨	Aug 27	E-qualification exam
⑩	Sep	Received E-qualification pass announcement

I bought several recommended books but didn’t have time to copy them, just skimmed through them.

① is a course that covers machine learning widely, the coding fill-in-the-blank problems were interesting and educational. ②③④ Getting TensorFlow Developer Certificate before studying for E-qualification is recommended because coding exercises and problems become considerably easier. ⑤ The course has excellent supervisors and trustworthy content, price is 70,000 yen which is the second cheapest after rapid challenge, the course and exercises cover what’s necessary while the amount is appropriate, so highly recommended.

I was really planning to do 5 rounds of the certification course practice problems then 5 rounds of Kurohon. However, time ran out after 2 rounds of the certification course practice problems, I thought I failed about 90%, but luckily I passed.

The official practice problems included in the certification course, even for 2 rounds, the method of “repeat 5-20 questions set until all correct, then go to next set” seems to have contributed.

If there’s someone around me taking the exam, I want to convey:

I recommend getting the TensorFlow Developer Certificate before the E-qualification
Official practice problems are important
Don’t give up until the end even if it doesn’t go as planned

Pass email

Thank you for taking the JDLA Deep Learning for ENGINEER 2023#2 held from Friday, August 25 to Sunday, August 27, 2023. We will inform you of the exam results as follows.

■Pass/Fail Results ================= 【　PASS　】 ================= Total examinees: 1,065 Passers: 729

■Score rate by field Applied Mathematics: 75 % Machine Learning: 67 % Deep Learning: 64 % Development Environment: 89 %

Future

Next, I want to challenge Kaggle, currently studying. Also want to do personal development incorporating AI.