English in Your Studies

Another frequently asked question is about English. The field you chose is heavily based on English, especially today, when new technologies, tools, papers, and ideas usually appear first in English.

How to handle English in this field

You do not need perfect English, but you do need a working level and the right habits.

1

Aim for a basic working level of written English

You do not need perfect English, but it is difficult to build a successful career in this field without at least a basic working level of written English: reading and understanding technical material, writing emails, preparing slides, and occasionally communicating in spoken technical English.

2

Use the standard technical terms

It is especially important to know and use the standard names of common technical concepts. In AI, for example, terms such as fine-tuning, inference, embedding, context window, prompt, token, hallucination, and retrieval-augmented generation (RAG) are the vocabulary used in documentation, papers, tools, and professional discussions. Trying to invent or rely on translated terminology can make communication unnecessarily difficult.

3

The way to improve is to use it regularly

The best way to improve is simply to use English regularly. Your studies give you many opportunities: reading documentation, following tutorials, preparing presentations, working with technical material, and interacting with AI tools.

Trying to avoid English whenever possible may make things easier in the short term, but it works against you professionally. Your studies are a good opportunity to practice in a relatively safe environment, especially if your English is currently weak.

4

Work in English from the beginning

A useful habit is to work in English from the beginning. When possible, read the original English source, write your notes or slides directly in English, interact with tools such as ChatGPT in English, and write code comments using clear English phrases rather than translating them from Hebrew. This helps you get used to the language actually used in documentation, libraries, repositories, and professional software development.

About this course: the course itself is taught in Hebrew, while most written materials are in English. There is no formal requirement that your submissions or presentation slides be in English, but using English is strongly recommended.