Until I learned for half a year and become an AI engineer, who is almost inexperienced | ledge.ai

"Learn programming to a web engineer" "into a data scientist from inexperienced in practice" ...

In addition to the shortage of IT human resources that have been said for many years, the reconfirmation and risks of businessmen have been heated due to the growing corona and the growing DX momentum.Some people aim to change their annual income and independence and aim to change their career to professionals, but there are few voices saying, "I can't find a job because I can't fill the gap between the learning content of programming schools and the skills required by companies as a professional."There is.

However, if you acquire skills strategically, it seems that there is no way to find a job as a data scientist or AI engineer from inexperience.

Tsuchiya introduced this time is one of the successful career changes from practical experience.He changed jobs last year and is now working as an AI engineer.His previous job was in the manufacturing industry, and he worked on the system design of the equipment monitoring control equipment, managing and adjusting the overall construction, and the hardware design of the control panel.

He said that he had used the FOR statement and IF statement (the basic syntax of the program) at the time of research in the university engineering department.

He attended Kikagaku's AI Human Resource Growth Course and succeeded in changing jobs as an AI engineer last year.In this paper, we will deliver a real voice, such as the difficult story of inexperienced job change and the method of increasing the selection pass rate.

If you learn machine learning and AI, I wanted to learn thoroughly

Interview.The image on the left is Tsuchiya

――Please tell us what you were trying to change jobs as an AI engineer.

Originally, I was interested in making new things and finding new value from existing data.From there, I was interested in machine learning and AI, and I found it interesting to be an AI engineer.

――Why did you decide to take the Kikagaku AI Human Resource Growth Course (hereinafter, long -term course) from many programming schools and educational content?

If you learn machine learning and AI, you decided to do it early.In the meantime, I wanted to learn thoroughly with the curriculum assembled from the actual work content, so I chose a long -term course that allows you to learn the content that is as strong as possible and can be used in practical use.He took a long -term course between April 2021 to September 2021, and has been in his current position since October 2021 after about two months of job change.

A learning curriculum that aims to become AI human resources who can run in 6 months.In addition to implementation of machine learning and deep learning, we learn a wide range of and systematically learn the flow of data collection and organizing, and incorporating it into applications.The first half focuses on machine learning, knowledge of deep learning, acquiring skills, environmental construction, image classification apps, and application development exercises for applications.In the second half, the original app will be completed by working on the planning to the production (new recruitment will be suspended in early March 2022).It is also selected as a "RE Skill Certified Course" certified by the Ministry of Education, Culture, Sports, Science and Technology.

"Learning" of a long -term course that can live

――The long -term course starts with knowledge input, and covers a wide range of Python coding, machine learning and deep learning practice.Is there anything you got after finishing the course?

I was very confident that I had learned not only systematic knowledge, but also with Python and related libraries, etc., and gained the skills to analyze actual data.

I think that not only knowledge but also problem -solving skills have been greatly improved.There are some problems that are not straightforward, such as the end of the chapter, and "I will get out of the error for some reason!"

――I see, not only skills but also problem solving stances have changed.Did you have any changes in learning habits?

During the long -term course, I secured a lot of time every day and used it for learning, but now I am working while solving and learning unknown parts that occur in my work.Since the information from the web is large, or there is no information you want, we work hard every day while collecting information from books.

How to increase the selection pass rate with job change activities without practical experience

――Are there any prepared job change activities?

Since it was a job change activity at the end of the long -term course, I uploaded the four -image classification app created on the course to GitHub, and about the final self -made application (real -time object detection application using a web camera), "This is the case.I'm trying to make it. "

In the long -term course, we will create a web application equipped with AI based on what you have learned.The image is a "real -time object detection app" made by Tsuchiya

――If you can appeal to the content you have acquired in the long -term course, it seems that you can understand from the company at the selection.

Machine learning engineers and data scientists have the problem of shortage of human resources in the industry, but this was the same for companies that I changed jobs.In the job interview, I think that not only did you understand the achievements you have learned in the long -term course, but also whether you have the power to solve problems or suggest a self -propelled run.Of course, this power was cultivated after Kikagaku's long -term course.

――However, I think that I often struggled with inexperienced job change.

Needless to say, the fact that inexperienced "work" was a factor in changing jobs was difficult.I had a hard time because I was often dropped in the screening of documents.

However, a career advisor of DODA, who has a business partnership with Kikagaku, gave advice, saying, "It is better to add things that you learned in the long -term course and the matters that are particularly focused on to your job history."I was able to increase the pass rate.

A job change and employment support service specialized for AI engineers and data scientists provided by Persol Career Co., Ltd. and Kikagaku Co., Ltd., which operate the job change service "DODA".Students in the AI human -education growth course can receive job change and employment support from career advisors who are familiar with the IT industry.

The career advisor knew the content of Kikagaku's course, and wrote a list of skills acquired on the course into a job resume, and worked together to pass the documents.

Also, after grasping the level of the course, you can write a recommendation to each company, so it is easier to convey the appeal of applicants to change jobs.

In the job change activity, I think that it is easier to make good results if you make full use of DODA's job change support, but do not regret the information that can be given, and to appeal and appeal to everything you have done.

"Good miscalculation" felt after changing jobs

――Are you worried about working inexperienced?

I thought that the base skills were acquired in Kikagaku's long -term courses, and I was not worried because I was willing to acquire the necessary knowledge from now on.

On the other hand, I was a little worried that there were few people who were familiar with AI and machine learning at the site of the job change.I thought that it would be a lot of people who could sympathize with "what kind of difficulties in machine learning and what do you need to be aware of?"

I thought that it would be broken to proceed with the work in many people who are too difficult with AI and machine learning words, but if you further establish my own basics, anyone will do it.It was clear to see the instructors of Kikagaku, so I was not particularly worried about that.

――The current job is an AI engineer, can you work as a data scientist, machine learning engineer, or data analyst?

It may be a position that plays all of them.Currently, I am involved in the creation of a taxi demand forecast model, and from the collection of operation data to the application of machine learning, hypothesis proposals based on comparison and verification results, and proposals to customers.I plan to be in charge of the work.

――You are in charge of a very wide range of tasks.Did you think "I should have learned more before changing jobs"?

In that it was necessary to do all the processes alone, I felt that the volume of work was large, but I think it was a good miscalculation in the sense that all processes could be experienced evenly.

In that sense, we learn more about the process of data analyst data scientists, such as pre -processing big data (especially featured engineering) and hypothesis and proposals after prospection results.I think it should have been a good idea.

* The editorial department Kikagaku has launched a new course that will be free at the end of December 2021 by attending AI human -growth growth courses.This is the best course for those who want to learn the basics of data analysis using statistics and multiple analysis to practice, and want to acquire data analysis skills.

If you feel a little excited, it will surely work even if you have no experience

――Please tell us your career path and prospects in the future.

In terms of skills, we want to be able to make hypothesis and proposals for machine learning prediction results.Currently, the majority of the business is to apply a machine learning model to big data and improve the accuracy of the prediction result, but which input variable in the built model has had a significant effect on the predicted value.I would like to incorporate the knowledge of methods (such as SHAP) to interpret machine learning.

In addition, we would like to learn the acquisition of e -qualifications related to AI and machine learning and the knowledge of statistics in data analysis with a view to acquiring qualifications.

Then, by efficiently pre -processing big data, the application of machine learning, verification of prediction results, and hypothesis proposals, you can analyze data with interpretation in the prediction result.I want to be such a data scientist.

――Finally, please give a message to those who are thinking of changing engineers without practical experience or who are considering taking the course of Kikagaku.

In general, I think it's normal to think that it is impossible to jump into a professional in other industries without practical experience.However, by taking Kikagaku's long -term course, such general theory was completely overturned.

In fact, I was successful in changing jobs due to inexperienced data analysis and machine learning practical, and Kikagaku's course was set up in a curriculum calculated back from practical work, so I was able to start using it in business.It was a kind of spooky commercial, but it was really so.

If you are interested in AI and machine learning and are excited to find out about this field, we would like you to take Kikagaku's long -term course!And I think that kind of person will probably work well, and it will change from something that can make your life rich.

Kikagaku's long -term courses are highly recommended not only for those who have no experience in engineers, but also for those who want to increase their work efficiency by incorporating AI and machine learning into their current work!

Only "now" can be learned in the long -term course

Tsuchiya has completed a six -month long -term course and fulfilled his goal of "making new things and finding new value from existing data."

The long -term course accepts applications until early March 2022.The chance to grow up is exactly "now".

It is also possible to consult the course, so if you are interested or want to continue with Tsuchiya, please take free consultation online.