AI Data Engineer · Career Acceleration Program

AI Data Engineer
Acceleration Program

Bridge the gap between academic theory and real-world execution. Making Science is a global digital acceleration company with 1,200+ experts across 15 markets. Our 6-month Career Acceleration Program in Georgia is a rigorous intensive program designed to transform your foundational knowledge into professional expertise.

6 Months Program Duration

Paid Fixed Monthly Stipend

On-Site Tbilisi Office

Certificate Upon Completion

Program Structure

Technical Curriculum

Master the tools and technologies required to excel as an AI Data Engineer.

Python Core & Infrastructure

Advanced Python, Object-Oriented Programming (OOP) principles, concurrent programming (multiprocessing, threads), Linux command line (Bash scripting), and Docker containerization.

Databases & Big Data

Relational databases (PostgreSQL), Non-Relational databases (MongoDB), Data Lakes and Warehouses (Redshift, BigQuery), Hadoop, and Apache Spark.

AI Integration & Pipelines

Foundations of Machine Learning data pipelines, Large Language Model (LLM) integration, Vector Databases for Retrieval-Augmented Generation (RAG), and data preparation/orchestration for AI models (Integrated AI Topics).

Cloud Computing & Orchestration

Cloud implementations across GCP, AWS, and Azure, OAuth2, Cloud Functions, and automating complex ETLs and data pipelines using Apache Airflow and Google Workflows.

Benefits

What We Offer

Fixed Monthly Stipend

Earn a consistent income while you develop your skills.

Student-Centric Flexibility

Adaptable scheduling allows you to balance university commitments without compromising career growth.

Mentorship

1:1 guidance from Middle and Senior Level Developers.

Professional Growth

Soft skills training, mock interviews, and internal projects.

Certification

Earn a Standard Certificate of the Career Acceleration Program upon successful completion.

Eligibility Requirements

Foundational Knowledge
Technical proficiency in Object-Oriented Programming (OOP) principles and a core understanding of the Python programming language, including both primitive and non-primitive data types. Candidates should possess a functional knowledge of SQL alongside familiarity with Linux environments and shell scripting.
Cognitive Skills
Demonstrated logical thinking and knowledge of basic algorithms.
Language Skills
Ability to study from English sources is required (B2). Georgian language proficiency is required. Assessments and interviews are conducted in both languages.
Location
This is an on-site program. Daily office presence is required at our Tbilisi office.

Working Schedule & Flexibility

40 - Hour Weekly Commitment Monday - Friday, 10:00 - 19:00

While the program is an intensive 40-hour weekly commitment (Mon-Fri, 10:00–19:00), we provide customized scheduling blocks to accommodate mandatory university lectures and exams.

Our Culture