HARDCORE MACHINE LEARNING. LEARNING FROM US
We don't just train models, we solve complex and business-critical ML problems.
TRAINING FORMAT
ONLINE
WHO'S FITTING
MIDDLE/SENIOR
PACKAGE OFFERS
1 TO 5 BLOCKS
WHO THIS PROGRAMME IS FOR:
ML DEVELOPER
Have experience in machine learning related fields and want to learn how to solve specific and non-standard problems.
TIMLID
Manage an ML development team and want to learn best practices for building services to solve complex business problems.
RECOMMENDED LEVEL:
THEORY
INFRA-STRUCTURE
> Knowledge of the basics of probability theory and mathematical statistics
> Understanding of A/B-tests and Bootstrap method
> Knowledge of classical ML algorithms
> Understanding of A/B-tests and Bootstrap method
> Knowledge of classical ML algorithms
> Basic knowledge of Bash, Docker, Git
> Minimum experience with web frameworks (e.g. Flask)
> Minimum experience with web frameworks (e.g. Flask)
PYTHON
> Knowledge of language syntax
> Understanding of basic data structures (list, dictionary, tuple)
> Knowledge of OOP basics (class, object)
> Knowledge of Pandas, Scikit-learn, and optionally PyTorch libraries.
> Ability to debug code and write tests
> Understanding of basic data structures (list, dictionary, tuple)
> Knowledge of OOP basics (class, object)
> Knowledge of Pandas, Scikit-learn, and optionally PyTorch libraries.
> Ability to debug code and write tests
COURSE PROGRAMME ://
Algorithms for automatic matching of objects allow solving many important business tasks: identifying duplicate products, combining online and offline customer data, analysing and monitoring competitors' prices. We will look at various cases of applying matching and ranking systems, consider the technical subtleties of their architectures, get acquainted with advanced approaches to model training and implement our own system of search hints.
10 lessons and a final project
10 lessons and a final project
The efficiency of many companies depends on the ability to set optimal prices for products, taking into account various factors and changes in the market. We will learn how to predict price ranges, review metrics relevant to pricing, get to know the "multi-armed bandits" and train one of them to choose a pricing strategy to optimise revenue and sales margins.
9 lessons and a final project
9 lessons and a final project
Consumer segmentation by the net effect of marketing influence allows a business to focus its advertising budget on customers who are ready to perform a target action only in the presence of communication. We will learn how to estimate the value of this effect using uplift models, analyse interesting cases from practice, design a library of factors and build our own algorithm for finding the optimal audience.
5 lessons and a final project
5 lessons and a final project
Important tasks in A/B testing are speeding up tests and increasing their sensitivity. This allows companies to implement positive changes faster and abandon negative ones in time. We will learn how to apply modern methods of increasing the sensitivity of A/B-tests, consider a complete testing pipeline and implement our own service for evaluating experiments.
10 lessons and final project
10 lessons and final project
It is important for ML-engineers to be able to integrate their solutions into the existing infrastructure, taking into account the high performance and fault tolerance requirements of applications. We will consider different scenarios of service deployment, discuss the principles of their design and maintenance from the perspective of a modern backend, and learn how to properly bring applications into production.
9 lessons and final project
9 lessons and final project
HOW TRAINING TAKES PLACE
SOLVE REAL PROBLEMS
- Solve complex and non-standard ML problems
- Learn models and customise everything you need to make them work
- Create your own ML services and learn how to bring them into production
- Learn models and customise everything you need to make them work
- Create your own ML services and learn how to bring them into production
UTILISE OUR INFRASTRUCTURE
- Work on a dedicated server
- Practise on data from real problems
- Learn solutions from instructors and other students
- Practise on data from real problems
- Learn solutions from instructors and other students
ASK ANY SUPPORT QUESTIONS
- Discuss tasks and projects with market experts
- Your mentors will be ML-engineers from leading Russian companies
- Your mentors will be ML-engineers from leading Russian companies
GET A JOB AFTER THE COURSE
- Consult with HR specialists
- Learn how to properly present your skills
- Apply for vacancies of partner companies
- Go on interviews and get a job
- Learn how to properly present your skills
- Apply for vacancies of partner companies
- Go on interviews and get a job
STUDENT FEEDBACK /
TUITION FEE
Immerse yourself in the world of advanced ML, access to remote server work and support from our instructors.
> Ranking and Matching
> Dynamic pricing
> Uplift modelling
> Dynamic pricing
> Uplift modelling
> Advanced A/B-testing
> ML Services Deployment Scenarios
> ML Services Deployment Scenarios
$1,000
REGISTRATION ON THE EDUCATION PLATFORM
To pay for the course, you need to register on our education platform with your first name, last name and email.
If you already have an account, you can use it.
If you already have an account, you can use it.
ASK A QUESTION
We will contact you and answer any questions you may have about
the course.
the course.
FAQ
Yes, we carry out educational activities on the basis of a state licence.
For comfortable learning on the course you need to be able to write code in Python and compose SQL queries to databases. You will not need specialised knowledge of data engineering.
Yes, you can now buy only the blocks you are currently interested in. The more blocks you buy, the more favourable the cost of each block will be. You can read more about the cost here. Later you will be able to buy more blocks at a special price of $450.
For each block, we give you 1.5 months of access to support and infrastructure. You can distribute this time among the blocks, for example, you can take them in parallel. After this time, access to support and infrastructure will be cancelled, but the course materials will stay with you forever.
Yes, if you have bought a package of several blocks, you will get access to the first lessons of all paid blocks on the start day. You choose which block you want to start with, and you can take the blocks in parallel.
On average, our students study 10-15 hours per week. This is enough time to be able to watch lectures and complete homework on time. However, the workload of all modules is different and depends on your level of preparation - if you are already familiar with the models and algorithms underlying the module, it will take less time to complete it.
The training takes place on our own LMS educational platform. You will be able to watch pre-recorded lectures, take notes, complete assignments on our infrastructure, and watch lessons. Lessons will open sequentially based on your progress. At the end of each module you will have a final project that will help you consolidate what you have learnt and will be a good addition to your CV. If there are any difficulties during the training, you can ask for help from the guys in the support team. We also hold Q&A sessions with Valery Babushkin for our students every month.
You can watch the lectures from any device, but you will need a computer or laptop to write code. There are no requirements for configuration and power - we will provide all the necessary infrastructure to work on a remote server. At the start of training, you don't need to install any special software - you will only need a browser and standard applications for communication: Discord and Zoom.
We have organised the training in such a way that you can combine it with your work, study and personal life. You can study at any time and at a pace that suits you.
It is quite normal to get "stuck" on a task during training. In this case, we have a support team that will help you to solve a difficult task.
If things do not go according to plan and you feel that you are falling behind on the programme, please let the course supervisors know. Together we will find ways to make your learning experience more convenient.
ANY QUESTIONS?
Fill out the form, we will contact you, answer all your questions and tell you more about the course.
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