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Universal Prompt Engineering Course: Learn to Manage AI
Artificial intelligence is no longer science fiction. Today, it's a key tool for analysts, managers, researchers, and specialists in any field.
But how can you get more than just empty words from it, but precise results?
Our introduction to industrial design engineering is your first step toward turning a neural network into a fully-fledged assistant. We'll teach you how to effectively interact with AI to solve analytical, creative, and automated problems.
7 online sessions of 1.5 hours each.
7 classes
17,500 RUB*
Final project
Price for the full course with materials and access to the group chat.
17,500 RUB - for groups of 10 or more people 25,000 RUB - for groups of up to 10 people
Final meeting — defense of your own project applying prompt engineering in real life.
online
Training takes place online on our own platform.
Who This Course Is For
This course is designed for you if you want to take your work to the next level. We do not require programming knowledge — only basic computer skills and the ability to formulate thoughts. The program perfectly addresses the needs of specialists from various fields:
Specialists in any field
who want to speed up information and document processing.
Beginning analysts and managers
who want to use AI in their daily work.
Students
who need help structuring data and writing papers.
HR specialists
will learn how to apply prompt engineering for HR to create job descriptions and analyze resumes.
Accountants
— prompt engineering for accountants will help quickly navigate changes in regulatory documentation.
Lawyers
— prompt engineering for lawyers will become an indispensable tool for analyzing contracts and primary documentation.
What You Will Learn in the Course
ПAfter completing the course, you will not only know the theory but also gain specific practical skills. You will learn to understand how language models work and why they make mistakes. By mastering the basics of prompt engineering, you will be able to:
Formulate correct prompts of various types and identify errors in their operation
Use role-based, verification, and safe prompts to reduce the risks of AI hallucinations
Conduct cross-validation of conclusions and fact-checking
Work with video, audio, and transcriptions
Create complex documents, letters, and reports using AI
Visualize data and prepare presentations with infographic elements
Analyze regulatory documents, contracts, and source documentation
Requirements: Confident computer skills (documents, browser). No programming experience, technical skills, or prior AI experience required.
How the Course Is Structured
7 online meetings of 1.5 hours each, every week. Small groups — up to 20 people to give attention to each participant.
Hands-on practice during class and homework assignments to reinforce learning. Your mentor reviews everything
A closed Telegram chat with instructors and participants — you can consult and ask questions 24/7.
Course Program
The training is built on practice from the very first sessions. Over 7 modules, you will progress from the basics of prompt engineering to complex multi-level prompts and working with different data types. Each topic is reinforced with exercises and error analysis, culminating in a real project.
What language models are and how they work
Limitations and problems of language models
Corporate risks and opportunities
Tools and services
What a prompt is
Types of prompts
The formula for an ideal prompt
Prompt engineering methods
Why language models make mistakes
Fact-checking
Creating verification prompts
Cross-validation
Prompts for document analysis
Converting unstructured text into documents
AI document review (errors, inaccuracies, risks)
Assistance in writing and analyzing letters
Processing meetings
Extracting responsibilities and tasks
Audio transcription
Timecoding
Prompts for visual content
Tools and prompts for presentations
Tools and prompts for images
Tools and prompts for visual analytics (KPIs, metrics, charts)
Applying prompt engineering in real life
Course Instructors
You learn from professionals who create industrial AI solutions every day and develop the DUC SmartSearch and DUC SmartBI platforms themselves.
Alexander Suleykin
Founder of DUC Technologies
PhD, Associate Professor at NUST MISIS and HSE. 10+ years in Big Data and AI. Author of 32+ scientific papers
Roman Babenko
Head of AI Development
Systems Analyst and Data Analyst with 17+ years of experience. Has delivered projects with up to 95% response accuracy for major clients. Winner of GLOWBYTE AUTUMN HACK 2023 hackathon, author of scientific articles.
Dmitry Sirotin
Data Engineer
PhD. 13+ years of experience. Expert in data warehouse construction, ETL processes, and query optimization in PostgreSQL and Greenplum. Author of several registered developments at ROSPATENT.
Artemy Kadikov
Python Developer
Expert and practitioner focused on creating AI agents and automation. Over two years of experience developing and creating AI agents.
Valentina Sorokina
Practical Lecturer in LLM
Lecturer with three years of experience at a leading university and IT specialist with three years of industry experience. Author of several scientific publications dedicated to AI research.
Александр активно популяризирует перспективы использования решений в области Big Data и цифровых экосистем для прогнозирования и принятия взвешенных управленческих решений.
Научные исследования
Публикации, индексируемые в WoS & Scopus, в т. ч. Q1: