AIBusiness

Artificial Intelligence for Business

Use artificial intelligence capabilities implemented in Python to solve real-world business problems. This course will open doors to top companies and help you launch your AI business.

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In simple language
about the complex

clear and structured

Mentor
support

no limit on answers

Up-to-date
materials

Regular updates every 3 months

Practical
assignments

We teach with real-life examples

How AI helps to develop business

Neural networks are already transforming business processes: automating tasks, forecasting demand and sales, and interacting with customers.

In Europe, around 34% of companies are actively implementing or using AI, with another 18% planning to start in the coming years.

Businesses applying neural networks can increase the number of requests by 50% and increase profits by 30-40% by optimizing sales, marketing and improving customer experience.

About the course

Business

AI technologies

This course unlocks the power of artificial intelligence to solve key business challenges: you'll learn the technologies that can bring new levels of operational efficiency, dramatically reduce costs and multiply profitability. From automating complex processes to strategic resource management, you'll gain insights that will transform the way you do business in the digital age.

Who is this course for?

For entrepreneurs
and executives

who want to incorporate AI into their business to reduce costs and increase profits.

For data scientists
and analysts

looking to master the application of machine learning to real-world business problems.

For IT-enthusiasts and
aspiring developers

who want to enter the field of AI with practical marketable cases.

Course Requirements

You will need a basic knowledge of Python to be comfortable with the course.

In the course, learn how to use artificial intelligence in a variety of business situations

Optimization of
business processes

Application of Q-learning to automate logistics and inventory management

Reduction of
operating costs

Application of Q-learning to automate logistics and inventory management

Increase
profits

Implement Thompson sampling to maximize e-commerce revenues

Develop
AI solutions

Create ready-made machine learning models for specific business problems

Analyzing
Big Data

Processing and interpreting business metrics with AI algorithms

Integrating AI into
business

Building a strategy for implementing AI into existing processes

Predictive
analytics

Demand forecasting and pricing optimization using ML

Automating
routine tasks

Creating intelligent systems for autonomous decision making

Course Experts

Our experts are high-level specialists and have real experience in implementing AI in large companies.

Peter Yaritsa Lead Data Scientist, Yandex

Peter Yaritsa

Develops machine learning systems for logistics optimization and dynamic pricing.

Ex-Head of AI, Ozon

Elena Wise

Specialist in AI implementation in e-commerce. Author of algorithms for recommendation systems that increased the average check by 18%. Advises retail companies on digital transformation.

CTO, Data-Driven Solutions (Sber ecosystem)

Vladimir Knorin

Expert in the industrial application of Deep Learning. Led energy efficiency projects for data centers with savings of 40+ million rubles/year.

AI Product Lead, Wildberries

Evgenia Bukharina

Implemented a predictive analytics system for managing 300+ warehouses. Algorithms under her leadership reduced logistics costs by 30%.

Course Program

INTRODUCTION

Module 1. Introduction

Welcome
Getting to Know You
Recommended Workshops before we dive in!
Learning Paths
The Book

Part I. Optimizing Business Process

Module 2. Introduction

Welcome to Optimizing Business Process

Module 3. Case Study

Step 1
Step 2
Step 3
Step 4

Module 4. AI solution

Welcome to the Intuition Section
Plan of Attack
What is reinforcement learning
The Bellman Equation
The Plan
Markov Decision Process
Policy vs Plan
Living Penalty
Q-Learning Intuition
Temporal Difference
Q-Learning Visualization

Module 5. Implementation

Step 5
Step 6
Step 7
Step 8
Step 9
Step 10
Step 11
Step 12
Step 13
Step 14
Step 15
Step 16
Step 17
Step 18
Step 19
Step 20

Module 6. Homework

Instruction
Solution

Part II. Minimizing Costs

Module 7. Introduction

Welcome to Minimizing Costs

Module 8. Case Study

Step 1
Step 2
Step 3

Module 9. AI solution

Welcome to the Intuition Section
Plan of Attack
Deep Q-Learning Intuition - Step 1
Deep Q-Learning Intuition - Step 2
Experience Replay
Action Selection Policies

Module 10. Implementation

Step 4
Step 5
Step 6
Step 7
Step 8
Step 9
Step 10
Step 11
Step 12
Step 13
Step 14
Step 15
Step 16
Step 17
Step 18
Step 19
Step 20
Step 21
Step 22
Step 23
Step 24
Step 25
Step 26
Step 27
Step 28
Step 29
Step 30
Step 31
Step 32
Installing Keras
Step 33
Step 34
Step 35
Step 36

Module 11. Homework

Instruction
Homework Solution
Extra: Dropout

Part III. Maximizing Revenues

Module 12. Introduction

Welcome - Maximizing Revenues

Module 13. Case Study

Step 1
Step 2
Step 3

Module 14. AI solution

Welcome to the Intuition Section
The multi-armed bandits problem
Thompson Sampling Intuition

Module 15. Implementation

Step 4
Step 5
Step 6
Step 7
Step 8
Step 9
Step 10
Step 11
Step 12
Step 13
Step 14
Step 15
Step 16

Module 16. Homework

Instruction
Solution
THANK YOU Video

Module 17. Annex: Artificial Neural Networks

Plan of Attack
The Neuron
The Activation Function
How do Neural Networks work?
How do Neural Networks learn?
Gradient Descent
Stochastic Gradient Descent
Back-Propagation

Module 18. Bonus

Huge Congrats for completing the challenge!
Bonus: How To UNLOCK Top Salaries (Live Training)

How does the training work?

Video lessons in a convenient format

Short, concise lessons with step-by-step instructions that you can watch from any device - even from your phone on the way to work.

Practice in every case

Practice. You immediately apply what you've learned by building your app step by step.

Mentor support

Personalized advice and review of your projects. Mentors check each work and give practical advice on how to improve.

Community

Get quick answers from experts, share experiences with other course participants and find inspiration in our private chat room.

Bonus for
course students

When you pay for the course, you will receive a 100-page book on AI for business. This is a ready-to-use guide that:

✅ Explains key theory - math and algorithms without “water”.
✅ Explains the course cases - how solutions work in real business problems.
✅ Gives ready code templates - to implement AI right after the lesson.
✅ Includes practice - homework assignments with solutions for reinforcement.

Official certificate
and career prospects

Upon successful completion of the course, you will receive a personalized certificate recognizing your skills in applying AI to business.

We offer competitive rates

Free Plan

Free

1 module
Video tutorials
No feedback
Open access
No certificate

Place an order

Navigator Plan

$120

16 sections
Video tutorials
Practice
Feedback
Access: 9 months
Certificate

Place an order

Kent Plan

$125

18 sections
Video tutorials
Practice
Feedback
Chat with curators
Access: 12 months
Certificate

Place an order

Pioneer Plan

$152

Individual support
Error analysis and recommendations
18 sections
Video tutorials
Chat with curators
Access: 12 months
Certificate

Place an order

Champion Plan

$184

Corporate groups 5-10 people
Material adaptation
18 sections
Video tutorials
Practice
Feedback
Chat with curators
Access: 12 months
Certificate

Place an order

Our students are satisfied with the education

95%

of graduates note that the course helped achieve the set goal

89%

of graduates are ready to recommend studying with us

Testimonials from course graduates

Sofia Head of e-commerce

Thanks to the course, we automated warehouse management - logistics costs fell by 30%. Now we are implementing AI for demand forecasting. The book with templates has become a desktop book!

Mikhail Data Scientist

Moved from theory to practice: implemented Deep Q-learning to optimize servers in the company. Saved $20K/month. The course gave a clear algorithm of actions for real tasks.

Olga Entrepreneur

Thompson sampling increased the conversion rate in our store by 22%. I wouldn't have figured it out myself - thanks for the ready-made solutions and support of the mentors!

Dmitry, IT Architect

A rare course where there is no “water”. Q-learning for the warehouse was taken as a basis for a system in a large retailer. The certificate helped when negotiating with customers.

Elena Product manager

I was able to propose AI-strategy to the business thanks to case studies. The management appreciated it - now I am leading a department on AI implementation. The code book saves hours of work!

FAQ

Why Apache NiFi has become a popular data processing tool?

No Python experience is required - we'll start with the basics and go step-by-step through everything you need to implement AI-based business solutions, but a basic understanding of programming will help you learn the material faster.

How much time should I devote to the course?

We recommend 8-10 hours per week (lectures + practice). This pace will allow you to comfortably master the material. But you can study at your own pace.

Can I combine the course with work/study?

Yes! All lessons are available 24/7 and assignments can be completed at your convenience. Many students take the course alongside their main activity, making time in the evenings or weekends.

What if the course is not suitable?

You can get a refund on your purchase - no questions asked. If you take more than 3 lessons, the refund amount will be prorated.

What will I get after the training?

After completing the course, you will be able to professionally implement AI solutions in business processes as they are done in leading companies - from optimizing logistics to increasing revenue. This is your ticket to the world of highly paid applied AI specialists.