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Today, Python is one of the most in-demand and widely used programming languages. Google, Dropbox, Spotify, Amazon, Facebook, Instagram - these are just a few of the many companies whose core services rely heavily on Python. Python has a strong global developer community and one of the richest open-source ecosystems, making it a great choice for anyone entering the tech world. Python is ideal for Back-End Development, Machine Learning, Data Engineering, and Cloud Services - which makes it a great starting point for anyone curious about technology’s many branches.
Throughout the course, students will learn core computer science principles, Python programming, and build a web service using Flask, preparing them for their first steps in Back-End Development. By the end, each student will have an individual project published on GitHub - a solid addition to any tech portfolio.
Outcome
Skills Acquired: Flask; MySQL; Vscode; Jinja; FastAPI; GitHub.
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Set up and work within an IDE (VS Code)
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Manage projects using version control
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Organize projects cleanly & logically
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Deploy Python back-end applications and apply best practices;
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Test Python project functionality
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Prepare documentation for Python projects
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Use OOP approaches to solve problems
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Manage & work with packages in Python projects
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Use popular Python packages from the built-in library
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Use popular open-source Python packages
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Work with databases using Python
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Collect & perform basic cleaning of information using Python
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Integrate / interact with services using Python
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Independently use Python Frameworks (Flask, FastAPI)
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Continue your professional development in Web Development, Data Science, Data Engineering, or Web Scraping.
Tue 20:00-22:00 | Sat 12:00-14:00
TBC installment
BOG installment
Who is this course for?
Beginners
The course is designed for those who want to learn Back-end Development, specifically Python from 0, to start writing web applications and/or web services.
Programmers
The course is also suitable for those who have already had contact with other programming languages and now want to learn Python.
Program includes
Alumni Club
After successfully completing the final exam, graduates will be automatically enrolled in the Alumni Club. This membership grants them access to exclusive events, content, and special offers from our partner companies
Work Based Learning
The course includes practice-based learning, including assignments/exercises and individual projects.
Bilingual Certification
Upon successful completion of the course, students will receive a bilingual certificate.
Graduate feedback
Nikoloz Mekvabishvili
Python
The course syllabus is quite comprehensive. I wanted to gain knowledge to continue gaining experience in this direction in the future. I really liked the lecturer's ability to convey information. We fully mastered the topics given in the syllabus. ComSchool, for its part, did not lack attention and always offered help.
გიორგი სანაძე
Python
Several factors made me decide to take the course. I wanted to gain basic programming knowledge, which would definitely be useful in the future in terms of database management, as well as improving skills related to data science. Despite having many years of experience working with databases, the information received within the course is invaluable and I recommend it to anyone with relevant interests. Any new knowledge in the direction of information technology is an invaluable investment in oneself in today's dynamic world.
ნინო წომიკურიძე
Python
During learning, especially when learning programming, we often have questions, and it means a lot when we can ask any question and get an answer. I was lucky to choose ComSchool. It's largely due to the lecturer that students were actively involved in the lecture process, which was a particularly great experience. The lecturer was always ready to answer any question, and the school, for its part, always showed attention and was interested in the students' mood.
Irakli Patsinashvili
Python
The course was quite productive, exceeded expectations, and helped me gain knowledge in a short time. The lecturer always gave comprehensive answers to our questions and helped us understand unclear parts. The course showed me my strengths and weaknesses and, accordingly, helped me choose how and in which area I should develop myself in the future.
Syllabus
Pick your suitable time
Lecturers
Beka Bitarashvili
Python
Beka Bitarashvili
Python
Beka has over 5 years of experience in Python development and test automation. His work focuses on process simplification, quality improvement, and delivering consistent, high-quality results. He has contributed to 40+ local and international projects and currently works as a Software QA Engineer at Crystal. In addition to Python, Beka has practical experience with web development using JavaScript, allowing him to work across both back-end and front-end projects. He’s also the founder of CODEMAMA - Georgia’s first tech platform enabling people to test their skills in tech, participate in hackathons, and expand their knowledge and experience.
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So, if you want to have one of the most in-demand and highly paid skills in the future, start learning data engineering. Join us at Commschool! Learn More
Data Engineering: Profession, Skills, Career Path
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As long as data exists, there will be a demand for data engineers. Moreover, according to a 2019 study, data engineering is the trendiest job in the technology industry. It leaves behind computer scientists, web designers, and database architects In addition, data engineering is a high-paying profession - according to 2022 statistics, the average income in the US is $115,176.To become a successful data engineer, it's desirable to have relevant knowledge and skills in computer science. This will create the foundation needed in this rapidly developing field. If you have a bachelor's degree in computer science, then you can study data engineering at the master's level. However, it's possible to master this profession without continuing studies in higher education institutions. For this, 4 stages need to be passed: Develop skills needed for data engineering At the initial stage of your career in data science, learn the basics of cloud computing, coding, and database design. 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Career Guide: Become a Data Engineer
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For example, Snowflake for data storage, dbt for ELT, Airflow for orchestration. To keep up with the processes and changes in the industry, keep an eye on the news and learn to use such tools. Data Engineering - About the Course In parallel with mastering and improving the skills listed above, you can enroll in a data engineering course, which will better introduce you to this field and help you improve your knowledge and gain practical experience. Successfully completing the course and receiving a certificate will definitely help you in the job search process - it will give you an advantage over your competitors. Now I have good news for you - a data engineering course is starting at Commschool! The program is designed for those who have already learned the Python programming language and are interested in working with data. In the course, you'll study concepts related to data engineering, practical tools and technologies, work on an individual project, and receive career support from Commschool.So, get acquainted with the course syllabus in more detail and join us at Commschool! Learn More
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