Self-study|IT|Pre-Int|Lesson 4: Your career

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Revise the useful language

  • I work for …
  • I’m responsible for …
  • I’m in charge of …
  • My main priority is …

  • Well, if you ask me …
  • In my opinion, …
  • As far as I know, …

  • I totally/fully/partly agree.
  • You’re right up to a point.
  • I don’t agree at all.

  • What do you think?
  • What’s your opinion?
  • What do you mean?

  • I’m sorry, but …
  • May I add something?
  • Sorry to interrupt, but …


Do you still remember Present Simple and Past Simple rules? It’s time to revise them!


Read the text about Nick’s IT career and complete it with the present or past simple form of the given verbs

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Type the past form of the given verbs


Choose the correct options to complete the sentences

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Сhoose the correct options to complete the sentences about job duties


Mark the odd option in each category of useful phrases for discussing something

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Read the article about professional skills for starting a career in AI and mark the sentences as True or False

How to get started in AI

Are you thinking of finding a job in AI? Note that there are different ways of doing it — some are for people who are new to the sphere and others are for those already working in data science. Different skills are required by different industries, but everybody who works in AI should have good communication skills before addressing the math and computing skills needed.

For those new to the field, mathematics and all kinds of courses in machine learning form the basis. In addition, strong computer skills as well as programming skills like C++ and an understanding of the algorithms are required. Moreover, general business knowledge is also vital.

If you’re already a programmer and you’d like to move into AI, you can go straight into the algorithms and start coding.

A data analyst or scientist getting more into AI must acquire programming skills. The most important thing is to know how to prepare data. However, don’t neglect such things as good communication skills and business knowledge. Also, improve your model-building skills and visualization. There are a lot of people working in AI, so there are a lot of options. If you are a data scientist, first decide what you would like to do, and then focus on that for your machine learning career.

No matter where you’re starting from, plan on continuing your education throughout your career. Remember that AI never stops learning, so you can’t stop learning either.



If you want to know more about building a career in AI, you may read 🔗this article. Don’t forget to use the techniques explained in this lesson.

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Read the task and prepare your 3-minute speech on the topic «My career»

Imagine that you’re planning to change your career (e.g. you want to work as an AI engineer) and you’re going to have a job interview for this position.

You’re a bit nervous before the interview and want to get ready for it. Practice your speech.

Cover the following topics:

🔹Your work experience

🔹Your current job duties

🔹Your skills

Make the sentences from the first exercise true about you and include them in your speech.


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Next time we’re going to discuss computer languages, so let’s see what you already know.

Take the short quiz on computer languages to remember some basic facts related to this topic

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Complete the phrases with the correct verbs and see what you can do now. There are two extra words which you don’t need to use


Look at your roadmap and see your progress

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Complete the article about the past and the present of IT with the correct form of the given verbs


Complete the sentences with the correct prepositions


Complete the excerpt from a lecture about the history of Java with the correct form of the given words

Урок Homework Курс
  • Your work experience
  • Present and Past Simple
  • Talking about jobs
  • The future of IT
  • Your career
  • Computer languages
  • Now you can
  • Homework