2025/2026
Автоматизация задач с использованием ИИ
Статус:
Маго-лего
Где читается:
Факультет компьютерных наук
Когда читается:
4 модуль
Охват аудитории:
для всех кампусов НИУ ВШЭ
Преподаватели:
Бакшук Матвей Вячеславович
Язык:
английский
Кредиты:
3
Контактные часы:
28
Course Syllabus
Abstract
The course “AI Task Automation” is aimed at developing practical skills in using artificial
intelligence tools to automate workflows. The course covers key aspects of working with modern
AI tools: from understanding the capabilities and limitations of language models and prompt
engineering techniques to applying AI in research, document and data workflows, and no-code
development. Special emphasis is placed on critical thinking when working with AI and on
practically configuring an AI environment for everyday tasks. The course concludes with
presentations of individual workflow automation projects.
Learning Objectives
- The objective of the course is to develop students’ practical competencies in applying artificial intelligence tools to automate professional tasks, to foster critical thinking when working with AI tools, and to build the ability to independently construct an effective AI environment for everyday work in a no-code mode.
Expected Learning Outcomes
- Upon completion of the course, students will know: • the current landscape of AI tools and their application in the labour market; • the capabilities and limitations of large language models (LLMs) and their characteristic error patterns; • core prompt engineering techniques and methods for improving response quality; • approaches to applying AI in research, document workflows, and no-code development.
- Upon completion of the course, students will be able to: • decompose workflows and identify areas suitable for automation; • craft effective prompts for professional tasks; • critically evaluate the output of AI tools, detect hallucinations, and perform fact-checking; • apply AI tools to documents, data, and research tasks without writing code.
- Upon completion of the course, students will have experience in: • working with up-to-date AI tools for task automation; • configuring an AI environment tailored to individual work tasks; • designing and presenting a workflow automation project.
Course Contents
- Introduction: AI in the Labour Market and Existing Tools
- Prompt Engineering and Working with Language Models
- AI as a Research Tool
- AI in Document and Data Workflows
- AI in Development: A No-Code Approach
- AI Workspace: Setting Up an Environment for Everyday Tasks
Assessment Elements
- Домашнее заданий 1
- Домашнее задание 2Pick a real task and automate it using AI chat, research tools, or document processing.
- Домашнее задание 3Build with a workflow that can be run repeatedly.
- Домашнее задание 4Project Defense. Present your project to the audience during the last lecture / seminar
