Neural Networks and Machine Learning in Python
online course
Immerse yourself in the world of AI and open doors to promising professions!
Online format
Community of like-minded people
Real projects
in portfolio
in portfolio
Certificate of course completion
Artificial Intelligence is a priority in IT
Creating applications with artificial intelligence is one of the most promising areas in the IT sphere, and the demand for such solutions will only increase in the future.
Machine Learning opens up new opportunities and shapes the IT sphere of tomorrow.
The course will introduce you to the fundamental principles of artificial intelligence and machine learning
Practical understanding of key algorithms and models
Systemic knowledge of the fundamentals of AI and machine learning
Skills in applying these technologies to solve real-world problems
You will learn:
- Distinguish between machine learning, deep learning and neural networks
- Solve practical problems using ML algorithms in Excel and Python
- Find and prepare data for analysis
- Create your own machine learning models
- Apply AI and ML in different fields and predict their development
- Learn the basics of Python programming
- Build neural networks for: image recognition and text processing.
You will create your own neural network
In the practical part of the course you will create your own neural network step by step - from data preparation to model training. Using a real example, you will see how deep learning algorithms work and get a ready-made tool for solving problems
Our experts are practicing professionals with a solid track record in development
Nikolay Smirnov
CTO at AI Innovations
12 years in IT (Facebook, Tesla, Huawei). Specialist in reinforcement learning and autonomous systems.
Oksana Furs
Head of Data Analytics at FinTech Global
9 years in financial analytics and predictive modeling (Goldman Sachs, Bloomberg, Mastercard). Expert in time series and risk management. Lead teacher of the Data-Driven Finance course on Udacity.
Maria Pegova
Data Science Lead at TechSolutions
8 years of experience in analytics and machine learning (Google, Microsoft, IBM). Expert in computer vision and NLP.
Сourse program
- Introduction
- History of Artificial Intelligence
- Difference between AI, Machine Learning and Deep Learning
- Examples of using AI, MO and DE in different fields
- Supervised vs Unsupervised learning
- Regression. Least squares method. Example of solution in Excel
- Classification
- Method of k-nearest neighbors. Solving the classification problem
- Clustering
- Ensembles
- Majority Committee
- Bagging
- Random Forest
- Finalizing the theoretical part
- For those who know the basics of Python
- Installing Python. Anaconda distribution
- Basic commands in Python
- If - Else statement
- While statement. Input function
- Strings
- Lists and operations on them
- Dictionaries and operations on them
- Predicting Apartment Prices with Linear Regression Method
- Predicting GDP from Oil Prices with Linear Regression
- Survivors of the Titanic. Classification Model using the Reference
- Vectors Method
- Titanic Survivors. Decision Tree, Random Forest and Bagging Models
- Neural Networks. Predicting Clothing Images
- Neural Networks for Text Analysis
- Neural Networks for Analyzing Review Tone
- Open Datasets for Machine Learning Tasks
- Announcement of the new block on Neural Networks
Choose the right plan
Starter
$10
- Artificial Intelligence. Theory
- 5 modules
- Videos
- Downloadable resources
- Practice assignments
- No feedback
- Access - 1 month
- No certificate
- 5 modules
- Videos
- Downloadable resources
- Practice assignments
- No feedback
- Access - 1 month
- No certificate
Basic
$20
- AI + Python Basics
- 8 modules
- Videos
- Downloadable Resources
- Practice Assignments
No Feedback
- Course Access - 2 Months
- No Certificate
- 8 modules
- Videos
- Downloadable Resources
- Practice Assignments
No Feedback
- Course Access - 2 Months
- No Certificate
Advanced
$34
- AI + Python Basics
- Bonus #1: Data for Machine Learning
- Bonus #2: Neural Networks for all tasks
- Videos
- Practice assignments
- Chat with mentors
- Check assignments
- Course Access - 6 months
- Certificate
- Bonus #1: Data for Machine Learning
- Bonus #2: Neural Networks for all tasks
- Videos
- Practice assignments
- Chat with mentors
- Check assignments
- Course Access - 6 months
- Certificate
Advanced Plus
$55
- AI + Python Basics
- Bonus #1: Data for Machine Learning
- Bonus #2: Neural Networks for all tasks
- Videos
- Practical assignments
- Mentor support
- Assignment validation and feedback
- Chat with mentors
- Assignment validation
- Course access - 12 months
- Certificate
- Bonus #1: Data for Machine Learning
- Bonus #2: Neural Networks for all tasks
- Videos
- Practical assignments
- Mentor support
- Assignment validation and feedback
- Chat with mentors
- Assignment validation
- Course access - 12 months
- Certificate
Corporate
$500
- Groups of at least 5 people
- AI + Python Basics
- Bonus #1: Data for Machine Learning
- Bonus #2: Neural Networks for all tasks
- Course customization
- Participation in corporate project
- Videos
- Practical assignments
- Mentor support and coaching
- Access for 12 months
- Group chat
- Certificate
- AI + Python Basics
- Bonus #1: Data for Machine Learning
- Bonus #2: Neural Networks for all tasks
- Course customization
- Participation in corporate project
- Videos
- Practical assignments
- Mentor support and coaching
- Access for 12 months
- Group chat
- Certificate
Prepare for your job and get certified to prove your skills.
You can do it, even if you're just starting out!
The Bureau of Labor Statistics predicts that jobs for machine learning specialists will increase by 35% by 2032, giving you access to a new in-demand occupation.
Take the first step to success - we'll support you!
Alumni feedback on the course
The course gives a strong foundation, especially if you haven't encountered neural networks before. The instructor answers questions quite quickly. In general - a good choice for a start, but be prepared to improve your knowledge with additional materials.
Useful, but there is room for growth.
04/01/2025
Arina Khlebova
As a person with experience in Python, I was looking for a course that would give not just a superficial understanding of ML, but in-depth knowledge. Here it is!
Good balance of theory and practice!
04/08/2025
Alexander Bodrov
I liked the course! I came with zero knowledge in AI, but thanks to clear explanations and practical tasks I was able to write my first neural network in a couple of weeks!
04/01/2025
Kirill Gil
Before I was afraid to even approach ML, but here everything was explained on my fingers. After the course I put together a recommendation system for movies (basic, but still!). I advise those who want to not just listen, but immediately try it in practice.
After the course I was able to make my own project!
04/16/2025
Anton Vorobey
I went to the course because of a requirement at the university, I thought - another boring theory. But it turned out that machine learning is really fascinating! True, the pace is a bit fast in some places, but if you don't get lazy, you learn everything.
I didn't expect it to be so interesting.
04/16/2025
Sergey Slonov
Money Back Guarantee !
Your satisfaction is our priority. If the course doesn't meet your expectations, you can get a full refund within the first five days of the course. No questions asked and no hassle.
Answers to common questions
You will receive a certificate of completion if you pass all parts of the course and complete all assignments.
This is entirely up to you. On average, platform users study between 8 and 12 hours per week.
If the course does not turn out to be what you expected, we offer a money back guarantee. You can request a full refund in the first five days of the course, and from day six onwards we will calculate a refund or help you choose another course.
You will be able to study the materials at your convenience without taking time off work. The training package is based on modern, effective materials. Training and all materials are available anywhere, 24 hours a day, 7 days a week, within the time limits of your tariff.