Corporate workshop for
Gazprom Neft
Audience
1650 company employees from various departments
Topic
Partnership of natural and artificial intelligence
Module of 15 lessons for
Product University
Audience
students of the online AI for Marketing course
Topic
Using AI tools for the work of a marketer
Corporate workshop for
Topic
Strategic capabilities of neural networks and practical AI tools
L’Oreal Paris
150 employees from different departments of the company in a hybrid offline&online format
Audience
Course on working with neural networks for
Topic
“Job search using generative AI”
Netology
Corporate workshop for
participants of the online course "Neural networks for everyone: how to solve work tasks faster"
United Metallurgical Company
Audience
Audience
70 employees of the Corporate Communications department
Topic
“How can a communications professional save up to 20 hours per week using AI tools?”
A lecture for
HSE University
Audience
4th year students of the Bachelor’s program "Advertising and Public Relations"
Topic
“Artificial intelligence as a trend in communications”
Corporate workshop for
Infotecs
Audience
15 employees of the marketing department
Topic
“AI tools for optimizing the work of a marketer”
Corporate workshop for
ADV
Audience
256 employees from different departments
Topic
“How to save up to 20 hours per week using AI tools”
Corporate workshop for
Topic
“Artificial intelligence for an event manager's work”
«Tavrida Art»
30 event managers
Audience
Simply about complicated
We prepare speeches for a not IT oriented audience. Our task is to convey the essence in simple and understandable language using real-life examples.
Practice-oriented
Speaker's energy
Attention! Security
Key features
— most valued by our clients
Before each training, we request specific client tasks that "hurt" the most. From them, we select those that can be accelerated or completely delegated to neural networks.
We are against boring and monotonous lectures. We believe that the best learning is through emotions. That’s why our speakers are full of energy throughout the entire speech.
We understand that the use of AI tools for Russian companies is a special challenge for company security. Therefore, in our programs we always show Russian analogues, and also give instructions on how to avoid leaks of corporate and personal data.
Our training consists of 4 main parts
1. Neural networks basics
At this stage, we go into the basics of neural networks in simple language so that participants understand the basic principles of operation for more effective use
2. Effectiveness research results
We back it up with statistics and research on how neural networks really improve the efficiency of employees in order to get them motivated into listening
3. Analysis of the client's practical examples
We build a program based on client’s specific tasks. These may be more general tasks, for example, speeding up the search for information, drawing up the agenda and meeting results, making a rundown for documents, articles, videos
We assist in saving up to 20 hours per week
4. Industry cases
We select the best practices for implementing AI around the world in a specific partner industry
Who teaches?
When you need to train a wide audience on AI tools for working from scratch (for example, lawyers, HR, sales, etc.), focus on trends, provide examples and practical training
Teacher
Daria Fokina
・CEO of Artificial Intelligence Studio
・Speaker and moderator of discussions on AI for business
・Author of articles in the media and telegram channel on the topic of AI for business
・Lecturer of AI for Business at HSE, Product University, Netology
・Ex Chairwoman Unilever Millennials Board
・Winner of the Russian Business Leaders
・Graduate of the Higher School of Economics, Moscow State University Skolkovo
・Speaker and moderator of discussions on AI for business
・Author of articles in the media and telegram channel on the topic of AI for business
・Lecturer of AI for Business at HSE, Product University, Netology
・Ex Chairwoman Unilever Millennials Board
・Winner of the Russian Business Leaders
・Graduate of the Higher School of Economics, Moscow State University Skolkovo
Dmitry Tverdokhlebov
・ Product Director of the Artificial Intelligence business unit VK (AI/voice assistants/smart devices)
・ Current tracker and mentor of the Moscow School of Management Skolkovo and the Internet Initiatives Development Fund
・ Lecturer at the Higher School of Economics
・ Current tracker and mentor of the Moscow School of Management Skolkovo and the Internet Initiatives Development Fund
・ Lecturer at the Higher School of Economics
Teacher
Teacher
Alexander Zhadan
・ Head of the TenChat Neural Network Project
・ Co-author of the course «Neural networks: a practical course» for Skillbox
・ Made two loud cases in Russia with AI: wrote a diploma and chose a bride using ChatGPT
・ Conducted more than 100 consultations and presentations on the use of neural networks
・ Co-author of the course «Neural networks: a practical course» for Skillbox
・ Made two loud cases in Russia with AI: wrote a diploma and chose a bride using ChatGPT
・ Conducted more than 100 consultations and presentations on the use of neural networks
When you need to train a technically advanced audience (ML, Data Science, developers and analysts)
Alexander Sarachakov
• Lecturer at Sber.University. Course "Bayesian methods of machine learning" and "Computer vision" 4 years under the guidance of Alexey Zaitsev
• Former teacher at MIPT and Saint-Petersburg Computer Science school. Course "Data Analysis"
• Team leader in the deep and machine learning team at BostonGene, 4.5 years
• Ex-quant at WorldQuant hedge fund. For 4 years he used deep and machine learning to predict the stock market
• Created and sold a Skolkovo resident startup based on computer vision
• PhD in computational biology, scientific director M.S. Gelfand
• Former teacher at MIPT and Saint-Petersburg Computer Science school. Course "Data Analysis"
• Team leader in the deep and machine learning team at BostonGene, 4.5 years
• Ex-quant at WorldQuant hedge fund. For 4 years he used deep and machine learning to predict the stock market
• Created and sold a Skolkovo resident startup based on computer vision
• PhD in computational biology, scientific director M.S. Gelfand
Teacher
Anatoly Bardukov
・ Author of the program, academic supervisor of the Yandex Prakticum Data Engineer Course
・Lecturer at the National Research University HSE, Department of Data Analysis and Artificial Intelligence
・ Courses: Big data essentials, Large scale machine learning, Media compression and transmission methods
・ Speaker, lecturer, seminarian of the Data Engineer Course at Sber University
・Lecturer at the National Research University HSE, Department of Data Analysis and Artificial Intelligence
・ Courses: Big data essentials, Large scale machine learning, Media compression and transmission methods
・ Speaker, lecturer, seminarian of the Data Engineer Course at Sber University
Teacher
AI Dev
we develop special AI solutions
We integrate artificial intelligence into your business processes, helping you save time and earn more .
We optimize business processes in marketing, sales, support, finance, security, and other areas.
We optimize business processes in marketing, sales, support, finance, security, and other areas.
AI Strategy
AI Edu
we teach teams and specialists the skills to work with AI
We don’t want AI to replace people, so we train them to work with neural networks.
We educate HR professionals, copywriters, social media managers, assistants, and marketers to perform their tasks faster and more effectively with artificial intelligence.
We educate HR professionals, copywriters, social media managers, assistants, and marketers to perform their tasks faster and more effectively with artificial intelligence.
We develop strategies for introducing artificial intelligence into company processes
