Practical intensive "CI / CD or Continuous Delivery with Docker and Kubernetes"
We'll show you how to integrate continuous delivery into your team to speed rollout and eliminate downtime. Participants will set up an automated pipeline for delivering a microservice application in Kubernetes, learn how to manage the entire life cycle of an application.
During the short course you will be able to:
Make rolling out the code a simple and enjoyable push-one-button process that can be done dozens of times a day.
Deploy a scalable infrastructure to run microservices.
Create a transparent and understandable continuous delivery pipeline and roll out changes often and in small parts.
Do dozens of test benches a day for different teams and different versions of the product, while the configuration of the test bench will be almost identical to the combat environment.
Increase the speed of development, testing and roll-out by using the modern Docker container deployment automation system.
Get quick feedback from monitoring and logging systems at all major stages of the software life cycle.
Prerequisite Knowledge:
It is mandatory to complete a basic Docker course or similar knowledge and skills.
Experience with Linux on the command line.

You will master all the necessary skills to independently develop iOS applications such as online shopping, banking applications, photo editors, all kinds of assistants, fitness applications and other services.
Who is this course for?
For those who decided to master the specialty of an iOS developer or want to independently implement the idea of ​​their application. The program is designed for people who do not even know the basic principles of programming, since we will teach everything on the course.
Project Approach:
Throughout the course, you will be working on a large project for your portfolio - your own application. Each homework assignment will bring you closer to your ultimate goal - publishing your app in the AppStore.
You Will Learn to:
Build IOS apps in Swift, latest version 5.x
SwiftUI and Combine Basics
Apply SOLID principles in design
Cover your code with tests with TDD
Work with the network using the VK API example
Use the Instruments app to handle exceptions and crashes, check for memory leaks, long running modules, and more.
Prerequisite Knowledge:
Basic programming skills in any language:
control structures, loops, recursion;
basic data structures: arrays, lists, dictionaries, trees;
basic principles of object-oriented programming.


About the Course:
If you already have experience in programming and want to become an Android developer on Kotlin, we will help you with this.
What You Will Learn:
- how to professionally develop applications for Android;
- prepare for the interview;
- create a portfolio using modern libraries and frameworks.
There are many advanced topics on the course. For example: Android Architecture Components, Mobile App Testing, RxJava, Dagger 2, Android multithreading, Koin, Material Design, etc.

You will broaden your horizons and gain experience in the implementation of classical algorithms, which will help you create algorithms for solving business problems. It is the understanding of the principles of the algorithms and structure that can increase the performance of programs and improve quality.
The program includes the most famous applied algorithms that are usually required of applicants for Middle and Senior positions in large IT companies.

The course well suits for back-end developers and system programmers who write software applications, incl. mobile. It will be really helpful primarily for Junior Specialists to strengthen their fundamental programming skills.
Prerequisite Knowledge:
Programming experience in any programming language (beginner or intermediate level)
Knowledge of elementary mathematics in the scope of high school
Minimal knowledge of algorithms and data structures and a desire to develop in the field of their study

This Course Will Give You
As part of the course, you will look under the hood of the most popular automation tools to know exactly what is happening there and how it can be used effectively. The key goal of the course is to help students become professionals who can independently make technical decisions and anticipate system behavior. This is where the stability of your tests lies.
Who is This Course For?
- Developers of automated testing in Java with up to 1 year experience and who want to deepen and systematize their knowledge;
- Specialists planning to implement testing automation on their project.
Features of the Course
You will understand how testing tools work. You will figure out what to do when you see an exception, learn to understand exactly how the tool worked, and where to look for an error. You will understand the key and most popular automation tools for UI and API testing, get to know the brightest representatives in their categories - Selenium and RestAssured. Master design patterns, multi-threaded tests, and the process of organizing CI.
As a result of the course, you:
- Master the patterns required for automation: PageObject, PageFactory and ScreenPlay;
- Learn to develop tests in BDD style, get acquainted with the Cucumber framework and its analogues ;;
- Learn how to execute tests in multiple threads using Selenium Grid, Selenoid and other tools for parallelizing tests;
- You will be able to organize a CI process using Jenkins and Docker;
- Learn to build effective test reports using Allure and Report Portal;
- You will be well versed in various frameworks and libraries, get acquainted with a set of standard tools used in various companies.
Prerequisite Knowledge
- knowledge in the field of testing theory: test case, test plan, bug, feature, that's all;
- Java programming skills: variables, data types, loops, branching, OOP, understanding of interfaces, familiarity with collections, exceptions.
- knowledge of HTML, CSS, JS at the "look at page markup" level.
- familiarity with some testing framework, for example JUnit, will be a plus

Learn to correctly deploy ML models! A course for everyone who wants to master new tools and engage in interesting tasks in the field of working with data.
This Course Will Give You:
understanding of the key ways of integrating, processing, storing big data
ability to work with components of the Hadoop ecosystem, distributed storage and platforms
practical skills in the development of data services, storefronts and applications
knowledge of the principles of organizing monitoring, orchestration, testing
The course will suit well for developers, DBMS administrators and everyone who is willing to to improve their professional level, master new tools and engage in interesting tasks in working with data.
After studying Data Engineering, you will become a sought-after specialist who can:
deploy, adjust and optimize data processing tools
adapt datasets for further work and analytics
create services that use the results of processing large data sizes
be responsible for the capacity of data in the company
Prerequisite Knowledge:
Java / Python development experience
Database basics: SQL, indexes, aggregation functions
Basic OS knowledge: working from the command line, SSH access
Advantages of the Course:
1. Case studies: implementation, tool use, optimization performance, problems, errors and applied results.
2. High practical focus:
During the course, we will incrementally create a working product that solves applied problems
3. A holistic picture of the schedule and tasks of modern business, the role of the Data Engineer in their solution
4. Demand from employers.
39 employers are already ready to invite graduates of the course for interviews


This Course Will Give You:
You will master and practice the entire way of developing IT products, develop the MVP of your project and prepare for interviews. After training, you will be able to apply for the position of Product manager and, if you wish, you will be able to pass a test interview at OZON.
Create your product that will "shoot"
With the support of teachers, you:
Come up with an idea and test demand
Create mockups and do UX research
Collect analytics
Calculate unit economics
Conduct hypothesis testing
Implementing MVP with a real development team of OTUS alumni and students.
Throughout the course, you will closely communicate with teachers - experts from 6 high-tech IT companies: OZON, Yandex, Booking, Avito, Tinkoff and TransferWise. At webinars and Slack chat, your group will analyze cases, adopt life hacks and learn from their mistakes and success stories. Depending on what area your project is in, you can decide for yourself which teacher will oversee its development and help you with your homework throughout the course.
Who is this course for?
For beginner Product managers. You will systematize your knowledge and discover many insights that the course experts have accumulated over many years of practice.
For developers and other IT professionals who want to move into a management position. You will gain the missing strategic skills with which you can create truly useful products.
For entrepreneurs, marketers, analysts, designers and anyone who wants to implement their own IT startup. You will learn to concretize and test the viability of an idea without unnecessary expenses, calculate its economics and bring it to a working business model. In the OTUS community, we will help you find student developers who will implement your product MVP as design work in their course.
Features of the course:
Launching a product from scratch: from idea to implementation.
Creation of MVP product with a team of OTUS graduate programmers.
Cases from 6 IT companies: OZON, Yandex, Avito, Booking, Tinkoff, TransferWise.
Preparing for interviews.

You will study all aspects of management activities in the context of leading a testing team and develop Hard and Soft Skills. The course will allow you to gain a deeper understanding of all aspects of the testing process: strategically and financially plan tests, justify the feasibility and implement testing practices, competently distribute tasks in teams.
Who is This Course For?
For those who want to become a QA Lead, Test Manager, Test Manager and who have no management skills at all.
For current managers, the course will help systematize existing knowledge and provide new knowledge.
For middle, senior developers and systems analysts, the course will help change the profile of the activity.
During the course, you will:
Gain and organize knowledge of guiding the testing process
You will be able to form a team "from scratch": hire new employees, design effective teams, evaluate the effectiveness of the team
Develop employee competencies, build mentoring, mentoring and onboarding processes
Learn to build relationships with employees, stakeholders and business customers
Build a testing process: evaluate labor and planning, automation ROI, test infrastructure, etc.
Learn to build a process depending on the development approach used: project approach, agile (scrum, kanban)
Create a system for collecting product quality metrics and build a bug management process on your project
Continuously empirically improve the process by assessing qualitatively and quantitatively the effectiveness of any changes.
Prerequisite Knowledge:
Experience in QA is required. On the course, we will not teach basic disciplines for testers, such as test design or how to test certain applications. We expect that you already have domain skills if you want to manage testing processes;
Optional: have a team or a project at your current place of work, on which you can immediately hone your management skills

The program of the course was created specifically for developers, testers, system administrators and will allow you to master the tools and specific techniques for the implementation of the following practices at a professional level:
1. Infrastructure as Code (IaC),
2. CI / CD,
3. continuous collection of metrics (monitoring and logging).
Additionally, within the framework of the cube, the following topics will be considered:
4. DevSecOps,
5. SRE,
6. the problem of storing "sensitive data",
7. Loki, Vault, Vagrant tools.
Prerequisite Knowledge:
- experience from development, testing or operation
- experience in administration of Linux or Windows systems
- knowledge of at least one programming language

This Course Will Give You
Here is an in-depth author's recruitment program. As you master it, you will become familiar with the most effective sources for finding candidates and complete practical exercises that hone your sourcing skills.
The course is designed for IT recruiters who want to deepen their recruiting skills and strengthen their IT competencies.
During the course, experienced IT specialists will tell you about programming languages ​​and IT recruitment technologies. You will learn how to determine the level of complexity of the task facing an IT specialist, and what questions you need to ask in order to correctly assess his hard skills.
The course program includes workshops for developing the skills of interviewing candidates, parsing a resume with an it-specialist in specific programming languages ​​and technologies.
In addition, course participants will have the opportunity to participate in the development and learn from their own experience what it is like.
As part of the course, you will receive:
Advanced knowledge of IT technologies;
IT workshop for an in-depth understanding of development processes;
Python programming experience;
New methods of searching for candidates, including instant messengers;
Building communications taking into account the trends of the recruitment market;
Candidate assessment skill, including hard skills and soft skills;
The process of building a selection system;
Skill in creating a candidate search card.


What You Will Learn:
Ability to write C ++ correctly.
Understanding of modern problems of the language and the specifics of its application.
Mastering design patterns, principles of writing multi-threaded code.
Understanding of how to interact with the network, store and process large amounts of data.
Knowledge of the nuances of C ++ programming that distinguish a Middle-level developer from a Junior-level developer.
Prerequisite Knowledge:
1. The syntax of the programming language of the C ++ 03 standard:
- Variables, functions, pointers
- Classes, structures, union
- Operator redefinition
- Inheritance
- Exceptions
- Understanding templates in C ++
2. Fundamentals of computer science:
- Simple algorithms and their complexity estimates
- Data structures and their applications
- Principles of working with memory - stack, heap
3. Basics of SQL - some of the lessons are devoted to the study of working with databases.
4. Fundamentals of multi-threaded programming: deadlock should not put you in a deadlock.

This Course Will Give You:
You will master advanced machine learning techniques that will allow you to feel confident in leading Middle / Senior positions and to cope even with non-standard tasks.
You will expand your set of tools available for work. At the same time, even for topics such as Bayesian methods and reinforcement learning, which are usually taught exclusively in the form of theory, we have selected real working cases from our practices.
A separate module is devoted to working in production: setting up the environment, optimizing the code, building end-to-end pipelines and implementing solutions.
Who is This Course For?
For analysts, programmers and data scientists practicing machine learning. The course will help you expand your opportunities and advance further along your career path.
After completing the course, you will be able to:
Set up the environment and write production code ready for deployment
Work with AutoML approaches and understand the limitations of their application
Understand and be able to apply Bayesian methods and reinforcement learning for relevant tasks
Solve non-standard problems in recommender systems, time series and graphs
Prerequisite Knowledge:
Python at the level of "writing my own small projects"
Introducing the ecosystem for machine learning (pandas, numpy, sklearn)
Knowledge and understanding of the basic principles and algorithms of machine learning
Knowledge of mathematical analysis (calculating derivatives of complex functions)
Knowledge of linear algebra (matrix operations and eigenvectors)
Knowledge of probability theory and mat. statistics (understanding variance, mathematical expectations, distribution laws).

What this Course Will Give You:
You will master modern data analysis tools at a professional level to create machine learning models. To consolidate skills with each algorithm, you will perform a complete pipeline of work from preparing the dataset to analyzing the results and preparing for production.
The practice and knowledge that you will receive, which you will receive, is enough to solve the problems of classic ML and apply for the positions of Junior + and Middle Data Scientist.
Who is This Course For?
- For beginner analysts and Data Scientist's. The course will help you organize and deepen your knowledge. You will be able to experiment with approaches, analyze work cases and get quality feedback from experts.
- For developers and specialists in other areas who want to change their profession and develop in the field of Data Science. The course will give you the opportunity to build a strong portfolio and immerse yourself in the atmosphere of real data scientist tasks.
Features of the Course:
1. Best Practices and Trends. Each launch of the program is updated to reflect the rapidly changing trends in Data Science. After training, you can immediately start working on real projects.
2. Important secondary skills. The course includes topics that are usually overlooked, but are necessary for a specialist in everyday tasks and are highly valued by employers:
- building systems for automatically searching for anomalies;
- forecasting time series using machine learning;
- end-to-end pipelines for work with data, ready for deployment in production.
3. Creative atmosphere and conditions close to real work processes. The entire course is built as a simulator of the working days of a data scientist, where you have to cope with "dirty" data, calculate your actions in advance, experiment with solutions and prepare models for production. In this business, you will need curiosity, perseverance and a thirst for new experiences.
To learn, you will need Python experience at the level of writing your own functions, as well as knowledge of math analysis, linear algebra, probability theory, and math. statistics.

During the course, we will analyze in detail the query language and the internal processes of the DBMS that occur at all stages of working with a query. The course provides detailed information about a possible presentation. Let's take a closer look at the optimization of the code, how to write, if you have billions of data, we will tell you about the popular rake so that you can get around them.
Who is This Course For?
1. Developers with experience in working with databases at the level of "made and used, but I don't know how it works inside" (for example, through ORM);
2. Developers with little database experience and a desire to move forward.
After studing you will be able to:
- develop in SQL;
- to design a database and understand all the nuances;
- analyze and optimize query performance;
- write complex stored procedures, functions and triggers;
- read the query plan.
Graduation project - creating and optimizing your own database (for your company / startup). The teacher will help with choosing a topic and suggest how to reduce the amount of work.
Required knowledge:
This course is for you if you:
- worked with databases and you know how they look
- wrote or read simple queries
- know data types and basic operators at a basic level
- or a graduate of the course "Relational DBMS" 

This Course Will Give You:
You will master all the essential machine learning skills for streaming data and a distributed environment. The program includes the necessary knowledge from the fields of Data Science and Data Engineering, which will allow you to process big data and write distributed algorithms in Spark.
You will practice each module by doing your homework. At the end of the training, a final project awaits you, which will allow you to summarize all the knowledge gained and replenish your portfolio. It can be performed as part of work tasks on your dataset, or it can be a training project based on data provided by OTUS.
Who is This Course For?
For Machine Learning Professionals or Software Engineers who want to learn how to work with Big Data. Typically, such tasks are available in large IT companies with a large-scale digital product.
For Data Scientist who want to enhance their skillset with engineering skills. Thanks to the course, you will be able to process data and independently display the results of ML solutions in production.
You Will Learn to:
Use standard ML pipeline tools in a distributed environment;
Develop your own blocks for ML pipelines;
Adapt ML algorithms to a distributed environment and big data tools;
Use Spark, SparkML, Spark Streaming;
Develop algorithms for streaming data preparation for machine learning;
Provide quality control at all stages of the movement of ML-solutions into industrial operation.
Features of the Сourse:
A lot of practice with data
Up-to-date tools and technologies: Scala, Spark, Python, Docker
A wide range of skills from distributed ML and data streaming to production output
Live chat with experts on webinars and Slack chat
Prerequisite Knowledge:
Basic programming skills:
control structures, loops, recursion;
basic data structures: arrays, lists, dictionaries, trees;
basic principles of OOP;
acquaintance with one of the languages: Python, Java, Scala, C ++.
Mathematics:
linear algebra: vectors, matrices and their products;
matan: derivative of simple and composite functions;
Subtraction methods: gradient descent, Newtonian iterations;
probability theory: random events and quantities, mathematical expectation, variance.
Technology:
understanding of the basics of computing in the framework of the von Neumann architecture (processor, memory, cache, pluggable storage);
understanding of the general principles of relational DBMS, knowledge of SQL.


This Course Will Give You:
1. Training stands are provided by the course partner AdvancedHosting
2. Knowledge of Linux architecture.
3. Mastering modern methods and tools for data analysis and processing.
4. Ability to select a configuration for the necessary tasks, manage processes and ensure the security of the system.
5. Possession of the basic working tools of the system administrator.
6. Understanding the features of deployment, configuration and maintenance of networks based on Linux.
7. Opportunity to improve the acquired skills on virtual stands.
8. Ability to quickly solve emerging problems and ensure stable and uninterrupted operation of the system.
Prerequisite Knowledge:
Understanding networking fundamentals: addressing and static routing in IPv4 networks.
Experience in installing a Linux system and setting up your workplace (it is best to take the course on your machine with Linux OS).
Experience in installing virtualization systems: VirtualBox or something kvm-based.

The course is designed for Android developers with at least 1 year of experience, with knowledge of Java or Kotlin.
What You Will Learn:
Deep understanding of the Android SDK.
Organize infrastructure.
Design the architecture of the application.
Application testing.
Use modern libraries and frameworks.
Advantages of the Сourse:
Deep dive into industrial Android development
A lot of practice and live communication with teachers
Building infrastructure from scratch
The entire course is built in the Kotlin language
Deep Learning Gradle, Dagger 2, RxJava 2, and the Android Application Testing Process
Application architecture design
Final project
Prerequisite Knowledge :
1+ year Android development experience
Knowledge of Java Core or Kotlin
Introducing git version control
Knowledge of popular frameworks: Dagger, RxJava, Android architecture components
Experience with networking and data storage in Android
Understanding RESTful API Principles

This Course Will Give You:
The course includes all the tools that can be useful to both the developer and the administrator: access control, backup, replication, logging, working with statistics, methods of scaling, as well as the work of PostgreSQL in the clouds (AWS, GCP, Azure) and Kubernetes
The course provides a deep dive into PostgreSQL to design databases so that you do not have to fight fires later on as a result of poorly laid foundations.
Who is This Course For?
- for Linux administrators who want to master or improve PostgreSQL DBA skills;
- for MySQL / MS SQL / Oracle Server administrators who want to master PostgreSQL DBA skills;
- for DevOps / SRE who want to improve their PostgreSQL skills and learn new ways of working with DBMS - Kubernetes, clouds;
- for developers who need to learn how to work with PostgreSQL
The aim of the course is to teach the student to work effectively with PostgreSQL:
As a result of the training, graduates will be able to confidently work with PostgreSQL, create optimal queries and deal with incorrect ones, work with indexes, optimize, profile and update databases.
1.Gain the skills that will allow you to work as a PostgreSQL DBA - to install, configure, maintain and develop a database running PostgreSQL;
2.Learn how to work with PostgreSQL in various environments - based on your own physical and virtual infrastructure, in a Kubernetes cluster, in a public cloud (AWS, GCP, Azure)

This Course Will Give You
You will receive training and practical skills with which you can apply for the position of Middle Tester in Russian and international game development companies.
During the course, you will delve into the specifics of game testing:
Find out what is the fundamental difference between the approach to testing game projects
Get to know popular QA tools
Learn to test games on different platforms: Mobile, PS, Xbox, Nintendo Switch, PC
Get to know the most popular game engines and learn how to work with them
Let's talk about automated testing in games, discuss the pitfalls and where to start
All these skills will allow you to systematically approach the testing of games, and thereby speed up the processes and identify non-obvious bugs.
Who is This Course For?
For junior testers with experience. The course will provide professional skills with which you can apply for Middle positions in leading companies in the gaming industry.
For those who have recently come to the IT direction. The knowledge and practice of testing games will allow you to stand out from other beginner applicants for Junior + positions.
If you are a fan of games and have a dream company that you would like to start working for, this course will give you the foundation and benefits you need to get the employer's attention.
Features of the Course:

You will learn how the testing of games is arranged in the most popular companies in the CIS.
Emphasis on testing mobile games.
Practice in the sections of testing mobile games, games for PC and autotests for engines
Let's analyze new and specific tools for testing in game development.
Let's highlight such a closed section as testing console games.

The course will help you to learn how the testing problem can be solved using the Python language. We prioritize understanding the principles of building and solving problems, rather than studying a specific tool. After completing this course, you will gain skills in solving basic problems in the field of testing web applications. Testing and troubleshooting testing before verifying frontend functionality using the Selenium driver and testing REST APIs, as well as running tests on continuous integration systems.
Who is This Course For?
For specialists in the field of functional testing with experience from 1 to 3 years and seeking to switch to automation in Python;
For specialists in teaching Python testing with up to 1 year experience and who want to deepen and systematize their knowledge.
Features of the Course:
Increasing the technical literacy of a functional tester to the level of a developer and devops engineer in order to communicate on equal terms and influence the energy of the product;
Troubleshooting in the work of web applications, so that there are no more of these here: "This is not a bug, but a feature";
A flexible and easy-to-use tool for writing Python autotests, which replaces the familiar Java language from the testing automation market and allows you to start the automated testing process in a short time on a project of any complexity;
Learning DevOps tools and practices to know how and where to run tests for the benefit of the project.
