Python
One of the most requested skills for data engineering, ML, automation and backend.
Why learn this
Python is the lingua franca of data work and a serious second language for almost everyone else. If you go into Data Science, ML, analytics, automation, or DevOps tooling, Python is non-negotiable. For backend work it's a credible alternative to Node and .NET, especially in startups and AI-adjacent products. The library ecosystem (NumPy, pandas, PyTorch, FastAPI) is one of the strongest in any language — most new ML research ships with Python bindings before anything else.
- Global 2025
Most-popular programming language overall in 2024
See full ranking →Source: Stack Overflow Developer Survey
- Global 2025
Top language by GitHub repository activity for the second year running
See Octoverse →Source: GitHub Octoverse
- Tbilisi 2026
Active data / Python listings on the largest Tbilisi job board
Browse current listings →Source: jobs.ge
Where it's used
Three big buckets: data and ML pipelines (notebooks → training → serving), backend APIs (FastAPI, Django), and "glue code" — automation, ETL, ops scripts. In Tbilisi specifically, the demand is concentrated in analytics roles at fintechs and the data-engineering work that international remote employers ship out of Georgia.
What recruiters call this role
Common job titles
- Python Developer
- Backend Engineer (Python)
- Data Engineer
- Machine Learning Engineer
- Data Analyst (SQL + Python)
- DevOps / Automation Engineer
Pairs well with
Our courses
Ordered from beginner to advanced — pick the entry point that matches where you are now.
Python Fundamentals
Learn Python from scratch: variables, data types, functions, OOP, file handling, modules, and practical scripting. The ideal first step for backend, data, and AI careers.
Building LLM-Powered Apps: RAG & Agents
Build production-grade AI applications using large language models. Cover vector databases, retrieval-augmented generation (RAG), autonomous agents, tool use, evaluation, and deployment patterns.
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