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"EMPLOYMENT FOR AI DEVELOPERS" COURSE
10 video sessions starts June 12 / 24.900 rubles
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.
Who is this course for?
You're not a programmer yet.
You study neural networks and you want to get a job.
You are an active developer
You want to change your work area to AI
Course result
You can find an AI developer job much faster and with a higher salary
Course objectives
1
Learn how to find the right company for you
2
Learn to properly present yourself and be interviewed
3
Learn to negotiate wages confidently
4
Learn the specifics of employment in the AI field
Course teacher
Evgeny Povalishin
Owner of IT HR agency
Over 6 years in IT HR
Has given over 30 lectures on HR
Selected developers for dozens of major Russian companies. Among them: Mail.ru, DPD, Tinkoff, Superjob, Rocketbank, Fujitsu, Locobank, Gismeteo, Nvidia, Zvooq, Rambler, Lamoda, S7 Tech, Youdo and others.
Training format
10 video-sessions
Each session is a small 15-20 minute video, covering one small topic. All videos are available to you on a special training platform. You can review important points and refresh your memory. You can study the lessons in any order convenient for you
Homework assignments
Practical tasks will be available for you to work on your own.
Tasks are optional, but we strongly recommend practicing them. At any time, you can proceed to the next lesson.
Support of the curator for 3 months
All communication on the course is organized on our training platform.
If you have any questions about the course material, write to the curator, who will help you understand the topic of the class or the practical task.
Book the course
Apply and your manager will call you back
By clicking the button, I consent to the processing of personal data and agree to the privacy policy.
Apply for course
Training Program
You can see a brief training program below
Click on the class title to see its detailed description.
How to write a successful CV, what employers look at, what you should indicate and what you should remove.
Where to look, what to pay attention to, how to respond, what to write, where to call, cover letters.
What to read, where to look, make a list of questions.
How to behave, what to say, what not to say, how to get dressed, what interviewers pay attention to, standard questions
How to ask for feedback, how to negotiate an offer and money
Probationary period, how to ask for increased pay, career path construction
Types of companies, pros and cons, state/freelance/remote/office
Portfolio, public appearances, blog, social networks, public activity and how it all affects earnings
What to read, where to grow, what to subscribe to, where to go
Specifics of employment in the field of artificial intelligence and machine learning
Our manager will answer any questions about the course