108 hours of education
Access without restrictions
Fee for the whole
course $149
course $149
HR support
Python is the key to an international career! Learn the programming language of the future in 2 months!
PYTHON Developer
Pay once. Learn forever. Start your IT journey now.
A Python programmer is a professional who develops software using the Python programming language.
Python is a high-level language known for its simplicity and readability.
The language has strong library support for different areas of development, from web development to data analysis and artificial intelligence.
Who is a Python programmer?
Take your first step into a career as a PYTHON programmer with FutureTechFactory
Based on LinkedIn data
5000$ +
Junior
Experience up to 1 year
8000$ +
Middle
Experience 1 - 3 years
11000$ +
Senior
Experience over 3 years
Do you have any questions?
Write to us! We will answer to all your questions.
Write to us! We will answer to all your questions.
You are self-educated in Python development and want to structure your knowledge
Self-
education
education
You are starting your journey as a Python developer and want to master everything from scratch under the guidance of mentors.
Beginner
You are already working as a Python developer and want to improve your skills and learn unique techniques from our mentors.
Professional
Why is this course for you?
Why is this course for you?
You are self-educated in Python development and want to structure your knowledge
Self-
education
education
You are starting your journey as a Python developer and want to master everything from scratch under the guidance of mentors.
Beginner
You are already working as a Python developer and want to improve your skills and learn unique techniques from our mentors.
Professional
1
2
3
The course includes recorded video lectures, video practice, homework assignments, and a final project.
Learning
Format
Format
You can study at your convenience using the most accessible and advanced materials.
Flexibility and accessibility
You can ask your mentor questions at any time and get the clarification you need.
Mentor support
How is the education going?
How is the education going?
1
2
3
The course includes recorded video lectures, video practice, homework assignments, and a final project.
Learning
Format
Format
You can study at your convenience using the most accessible and advanced materials.
Flexibility and accessibility
You can ask your mentor questions at any time and get the clarification you need.
Mentor support
Django
SQL
JWT Auth
Jira, Trello
Git
Aiohttp, Aiohttp Websockets
Tools
Course programme
During the course you will learn many tools from scratch to professional use!
You will get practical development experience and Gain up-to-date knowledge of the profession.
You will get practical development experience and Gain up-to-date knowledge of the profession.
108 hours of training
Personal mentor
Lectures, Practice
Individual assignments and work
Portfolio
Certificate
Course Modules
1. Fundamentals of the Python programming language
2. Python basics
3. Python basics
4. Functional programming
5. Functional programming
6. Serialization and file system. Working with text
7. OOP
8. OOP
9. Exceptions
10. Iterators. Debugger. Generators
- An introduction to Python algorithmization.
- About Python.
- Data types.
- Variables.
- Operators.
- The simplest Python program.
2. Python basics
- Type conversion.
- Representation of variables in memory.
- Input and output functions.
- Comments.
3. Python basics
- String formatting.
- Assignment operators.
- Branching and comparison operators.
- Nested loops, types of loops.
4. Functional programming
- Functions and arguments.
- Scope of visibility.
- List generators.
- Annotations.
5. Functional programming
- Lambda functions.
- Code documentation.
- Map, Filter, Reduce.
- Decorators.
- Higher order functions.
6. Serialization and file system. Working with text
- Working with files.
- Working with external data: JSON, CSV, Excel.
- Encodings.
7. OOP
- Class.
- Incapsulation, inheritance and polymorphism.
- Operator overloading.
8. OOP
- Metaclasses.
- Data classes.
- Static methods, class methods, property.
9. Exceptions
- Try/except block.
- The finally and else block.
- Creating exceptions.
10. Iterators. Debugger. Generators
- Generators.
- Iterators.
- Script creation.
- File system.
- Regular expressions.
- Use of debugger.
Git
- Git Flow.
- Working with Git commands.
- Familiarization with Github, Gitlab, Bitbucket.
Databases. SQL
- Simple SQL queries.
- SQL queries.
- Syntax.
- Databases. DBMS.
1.Internet. Networking (Django)
2.Python ecosystem
3.Django
4.Django
5.Django - Models
6.Django - Models
7.Django - Models
8.Django Admin
9.Django REST
10.Django REST
11.Django REST
12.JWT Auth
12.JWT Auth
13.Caching
14.Celery
15.Django Testing
- OSI model and TCP/IP protocol.
- Client server architecture.
- HTTP protocols.
2.Python ecosystem
- Virtualenv.
- Console, pip.
- Creating an environment, purpose, usage, deletion.
- Creating your own package and loading it into pypi.
- PEP 8, PEP 20.
3.Django
- Design patterns, MTV.
- Django.
- Admin panel.
- Django apps.
- Manage commands.
- Environment variables and customizations.
4.Django
- Request routing.
- Views.
- Request processing.
- HTTP response.
- Templates. Tag.
5.Django - Models
- Modules.
- Django ORM.
- Database normalization.
- QuerySet.
- Migrations.
6.Django - Models
- Connecting Postgres.
- Model Signals.
- Abstract Models.
- Seeder / Faker.
7.Django - Models
- Indexes in the database.
- Queries of related objects.
- Bulk operations.
- Transactions.
8.Django Admin
- Customizing the display in the admin.
- Sorting, filters and search in admin.
- Inline output.
- Custom fields output.
- Display images and links.
- Admin Actions.
- Connecting HTML editor.
9.Django REST
- Forms.
- Validation.
- Forms in class views.
10.Django REST
- Django REST.
- Serializers.
- Query processing.
- Path parameters.
- Query parameters.
11.Django REST
- Cookies.
- Filters.
- Sorting.
- Search.
- Uploading files to the server.
- Pagination.
12.JWT Auth
- JWT.
- Libraries.
- Register/SignIn.
- Django Middlewares.
12.JWT Auth
- Sending account activation email.
- Change password.
- Token Refresh.
13.Caching
- Setting up caching.
- Django DebugToolbar.
- Cache management.
14.Celery
- Customization.
- Executing CPU-bound tasks in the background in Django.
15.Django Testing
- Django Testing Tools.
- Django Testing database.
- Django Testing fixtures.
- Django Requests/Response Testing.
1.Asynchronous Python
2.Async / await for asynchrony. Aiohttp
3.Aiohttp
4.Aiohttp Websockets
5.Distributed computing
- What asynchrony is.
- Example of synchronous chat on sockets.
- Example of asynchronous chat on select.
- Asynchrony on generators.
2.Async / await for asynchrony. Aiohttp
- A sample program on Async / await with large IO.
- Beginning of Aiohttp.
- Architecture.
- Routing.
- Basics of SQLAlchemy.
3.Aiohttp
- Models in Aiohttp.
- Migrations.
- Request Params.
- Responses.
- Background Tasks.
4.Aiohttp Websockets
- What are WebSockets.
- Add WebSockets to the Aiohttp app.
- WebSockets client on Aiohttp.
- WebSockets enabled application.
5.Distributed computing
- Flows and their synchronization.
- GIL.
- Processes and their synchronization.
- Writing a distributed program with requests.
1.Introduction to RM tools
2.Training Employment in IT
DIPLOMA PROJECT DEFENSE
- Working with Jira, Trello.
- Working with project documentation.
- Working with Confluence.
2.Training Employment in IT
- Compiling a resume (theory + practice).
- Compiling a LinkedIn profile (theory + practice).
- Getting an interview.
- Soft skills that are important within the interview.
- Conducting a mock interview.
DIPLOMA PROJECT DEFENSE
Course Modules
1. Fundamentals of the Python programming language
2. Python basics
3. Python basics
4. Functional programming
5. Functional programming
6. Serialization and file system. Working with text
7. OOP
8. OOP
9. Exceptions
10. Iterators. Debugger. Generators
- An introduction to Python algorithmization.
- About Python.
- Data types.
- Variables.
- Operators.
- The simplest Python program.
2. Python basics
- Type conversion.
- Representation of variables in memory.
- Input and output functions.
- Comments.
3. Python basics
- String formatting.
- Assignment operators.
- Branching and comparison operators.
- Nested loops, types of loops.
4. Functional programming
- Functions and arguments.
- Scope of visibility.
- List generators.
- Annotations.
5. Functional programming
- Lambda functions.
- Code documentation.
- Map, Filter, Reduce.
- Decorators.
- Higher order functions.
6. Serialization and file system. Working with text
- Working with files.
- Working with external data: JSON, CSV, Excel.
- Encodings.
7. OOP
- Class.
- Incapsulation, inheritance and polymorphism.
- Operator overloading.
8. OOP
- Metaclasses.
- Data classes.
- Static methods, class methods, property.
9. Exceptions
- Try/except block.
- The finally and else block.
- Creating exceptions.
10. Iterators. Debugger. Generators
- Generators.
- Iterators.
- Script creation.
- File system.
- Regular expressions.
- Use of debugger.
Git
- Git Flow.
- Working with Git commands.
- Familiarization with Github, Gitlab, Bitbucket.
Databases. SQL
- Simple SQL queries.
- SQL queries.
- Syntax.
- Databases. DBMS.
1.Internet. Networking (Django)
2.Python ecosystem
3.Django
4.Django
5.Django - Models
6.Django - Models
7.Django - Models
8.Django Admin
9.Django REST
10.Django REST
11.Django REST
12.JWT Auth
12.JWT Auth
13.Caching
14.Celery
15.Django Testing
- OSI model and TCP/IP protocol.
- Client server architecture.
- HTTP protocols.
2.Python ecosystem
- Virtualenv.
- Console, pip.
- Creating an environment, purpose, usage, deletion.
- Creating your own package and loading it into pypi.
- PEP 8, PEP 20.
3.Django
- Design patterns, MTV.
- Django.
- Admin panel.
- Django apps.
- Manage commands.
- Environment variables and customizations.
4.Django
- Request routing.
- Views.
- Request processing.
- HTTP response.
- Templates. Tag.
5.Django - Models
- Modules.
- Django ORM.
- Database normalization.
- QuerySet.
- Migrations.
6.Django - Models
- Connecting Postgres.
- Model Signals.
- Abstract Models.
- Seeder / Faker.
7.Django - Models
- Indexes in the database.
- Queries of related objects.
- Bulk operations.
- Transactions.
8.Django Admin
- Customizing the display in the admin.
- Sorting, filters and search in admin.
- Inline output.
- Custom fields output.
- Display images and links.
- Admin Actions.
- Connecting HTML editor.
9.Django REST
- Forms.
- Validation.
- Forms in class views.
10.Django REST
- Django REST.
- Serializers.
- Query processing.
- Path parameters.
- Query parameters.
11.Django REST
- Cookies.
- Filters.
- Sorting.
- Search.
- Uploading files to the server.
- Pagination.
12.JWT Auth
- JWT.
- Libraries.
- Register/SignIn.
- Django Middlewares.
12.JWT Auth
- Sending account activation email.
- Change password.
- Token Refresh.
13.Caching
- Setting up caching.
- Django DebugToolbar.
- Cache management.
14.Celery
- Customization.
- Executing CPU-bound tasks in the background in Django.
15.Django Testing
- Django Testing Tools.
- Django Testing database.
- Django Testing fixtures.
- Django Requests/Response Testing.
1.Asynchronous Python
2.Async / await for asynchrony. Aiohttp
3.Aiohttp
4.Aiohttp Websockets
5.Distributed computing
- What asynchrony is.
- Example of synchronous chat on sockets.
- Example of asynchronous chat on select.
- Asynchrony on generators.
2.Async / await for asynchrony. Aiohttp
- A sample program on Async / await with large IO.
- Beginning of Aiohttp.
- Architecture.
- Routing.
- Basics of SQLAlchemy.
3.Aiohttp
- Models in Aiohttp.
- Migrations.
- Request Params.
- Responses.
- Background Tasks.
4.Aiohttp Websockets
- What are WebSockets.
- Add WebSockets to the Aiohttp app.
- WebSockets client on Aiohttp.
- WebSockets enabled application.
5.Distributed computing
- Flows and their synchronization.
- GIL.
- Processes and their synchronization.
- Writing a distributed program with requests.
1.Introduction to RM tools
2.Training Employment in IT
DIPLOMA PROJECT DEFENSE
- Working with Jira, Trello.
- Working with project documentation.
- Working with Confluence.
2.Training Employment in IT
- Compiling a resume (theory + practice).
- Compiling a LinkedIn profile (theory + practice).
- Getting an interview.
- Soft skills that are important within the interview.
- Conducting a mock interview.
DIPLOMA PROJECT DEFENSE
Employer's requirements
Python programming language basics
Repositories
Asynchronous Python
Certificate
Databases. SQL
Price
Price
Python
$149
Features
36 lessons / 108 hours of education
Video lessons that explain
Mentor support
Portfolio with 5+ projects
Certificate for CV & LinkedIn
Resume and career support
Free 6-month JetBrains tools (for Java & Python)
Python
$149
Features
36 lessons / 108 hours of education
Video lessons that explain
Mentor support
Portfolio with 5+ projects
Certificate for CV & LinkedIn
Resume and career support
Free 6-month JetBrains tools
(for Java & Python)
(for Java & Python)
Business Analyst
$149
Features
24 lessons / 72 hours of education
Video lessons that explain
Mentor support
Portfolio with 5+ projects
Certificate for CV & LinkedIn
Resume and career support
Java
$149
Features
40 lessons / 120 hours of education
Video lessons that explain
Mentor support
Portfolio with 5+ projects
Certificate for CV & LinkedIn
Resume and career support
Free 6-month JetBrains tools
(for Java & Python)
(for Java & Python)
Java
$149
40 lessons / 120 hours of education
Video lessons that explain
Mentor support
Portfolio with 5+ projects
Certificate for CV & LinkedIn
Resume and career support
Free 6-month JetBrains tools
(for Java & Python)
(for Java & Python)
Features
$149
Features
36 lessons / 108 hours of education
Video lessons that explain
Mentor support
Portfolio with 5+ projects
Certificate for CV & LinkedIn
Resume and career support
Free 6-month JetBrains tools (for Java & Python)
Python
Business Analyst
$149
24 lessons / 72 hours of education
Video lessons that explain
Mentor support
Portfolio with 5+ projects
Certificate for CV & LinkedIn
Resume and career support
Features
Here you can read the public contract of our courses. This document describes in detail the terms and conditions of educational services, the rights and obligations of the parties, as well as the payment and refund procedure.
How will I get access to the
training after payment?
training after payment?
01
Payment Processing
On the site you choose a course and go to the payment link
02
Filling in
contact details
contact details
You specify your email, telephone, name and surname
03
Confirming
the payment
the payment
The system processes the payment
04
Registration
After a successful payment, a “My Account” link will appear on the screen. Click it to go to the registration page
05
Opening
access
access
Fill out a short form, and your course access will be activated
06
If you have any questions, we are always on the phone and email and ready to help
Support
After completing the course
Be able to create high-quality programme code for any project tasks
Be able to use a popular programming language and frameworks
Understand the methods of designing and building projects
Confident mastery of the Python-based technology stack
FAQ
A full immersive course takes about 2 months
to complete
to complete
Yes, we recommend doing homework to reinforce what you've learned + for personal practice. But this is all at your discretion
Yes, of course, we don't limit access to the training.
Absolutely, we issue a certificate after the training
For training and further work you will need just a laptop or computer.
You will have a personal manager to whom you can ask any questions you may have
FAQ
A full immersive course takes about 2 months to complete
Yes, we recommend doing homework to reinforce what you've learned + for personal practice. But this is all at your discretion
Yes, of course, we don't limit access to the training.
Absolutely, we issue a certificate after the training
For training and further work you will need just a laptop or computer.
You will have a personal manager to whom you can ask any questions you may have
Leave a request for a consultation
Make an appointment and get
a consultation. Leave your contact details so that we can contact you and answer all your questions.
a consultation. Leave your contact details so that we can contact you and answer all your questions.
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a consultation
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a consultation. Leave your contact details so that we can contact you
and answer all your questions.
a consultation. Leave your contact details so that we can contact you
and answer all your questions.
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Address
Lodz, ul. Ogrodowa 4
Index 91 - 062
St - Sn 12:00 - 18:00
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Contacts
© 2025 FutureTechFactory. All rights reserved.
Public offer contract
© 2025 FutureTechFactory. All rights reserved.
futuretechfactory@gmail.com
+48 795 751 807
Contacts
St - Sn 12:00 - 18:00
Mn - Fr 10:00 - 20:00
Index 91 - 062
Lodz, ul. Ogrodowa 4
Address
Working Hours
FAQ
Price
Modules
Benefits
About
Site
Public offer contract
© 2025 FutureTechFactory. All rights reserved.
futuretechfactory@gmail.com
+48 795 751 807
Contacts
St - Sn 12:00 - 18:00
Mn - Fr 10:00 - 20:00
Index 91 - 062
Lodz, ul. Ogrodowa 4
Address
Working Hours
FAQ
Price
Modules
Benefits
About
Site
© 2025 FutureTechFactory. All rights reserved.
Site
Working hours
Mn - Fr 10:00 - 20:00
St - Sn 12:00 - 18:00
Contacts
