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DataGroup

9

AI Engineering

789 000 ₸
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Allocated 6 Quotas

About course

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A 26-week practical program from Python to creating and deploying your own AI systems in production. The program covers the full stack: Python -> Machine Learning (scikit-learn) -> Deep Learning (PyTorch) -> Pre-trained models (HuggingFace) -> AI agents (LangChain, RAG, LangGraph) -> Production (FastAPI, Telegram bot, n8n, Ollama). Students work with Kazakhstani datasets: KazSAnDRA (180,000 reviews) and CAFD (Central Asian Food Dataset) - a real-world local context. The final capstone: a Telegram bot with an AI backend, RAG system, and monitoring dashboards - a full-fledged portfolio project. The course is taught by practicing AI engineers with experience developing government and commercial AI platforms in Kazakhstan.

Special condition

Selection criteria: selection using automated digital screening;

Course details

level

For all

Study format

Online

Entrance exams

No

Duration, in weeks

26

Education language

Russian

Qualifications

junior

Skills


Upon completion of this course, students will become independent, full-cycle AI engineers, proficient in the use of AI assistants to accelerate, optimize, and refactor code on a daily basis. Graduates will gain fundamental skills in collecting and preprocessing data in Python, designing and training classic ML models, and building complex neural networks using the PyTorch framework for computer vision and text processing tasks. Additionally, students will learn how to create autonomous AI agents (using LangChain, LangGraph, and n8n), configure local LLM applications with RAG integration, deploy production-ready services using FastAPI, and automate MLOps pipelines with continuous quality monitoring.

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