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BigData Team

8

AI Agents Engineer (Big Data, ML, DevOps), level 1

595 000 ₸
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Allocated 50 Quotas

To prepare specialists for the AI Engineer (AIE) profession; provide a deep understanding of AI agents, their capabilities, and limitations; teach how to leverage Agentic Coding and write clean, maintainable code; and enable the application of foundational knowledge when selecting technologies to solve product-focused tasks. Graduates will gain hands-on experience in building AI-driven products and conducting scientific research using agentic development. The course consists of 14 learning modules and a final Capstone Project. Two core skill sets are developed in parallel: writing high-quality software manually (hard skills: TDD, mock, CLI, Architecture, Logging, bash, git, uv, Docker, etc.) and designing, managing, and controlling AI agents that perform the same tasks (Agentic Coding: tools, skills, MCP, *code, *claw, Context & Memory, Ralph-loop and evals, Introduction to LLMs, etc.). You will learn to build robust autonomous systems rather than just "scripts with an AI layer," boosting your productivity by 5–10x. As part of the mandatory final Capstone Project, students will develop an AI-based product using agentic development and the industry best practices covered throughout the course. Link to the entrance test: https://learn.bigdatateam.org/

Special condition

Requirement to pass tests/exams, potential financial obligations (security deposit, fines, additional fees, etc.) Fines and Penalties: In case of expulsion during the training period: a pro-rated fine equivalent to the cost of the completed portion of the training. For failure to meet deadlines for grant reporting (a symmetrical requirement between Astana Hub and IT schools). A fine equal to the full cost of the grant in case of failing the final test (and other similar assessment and qualification procedures required by the grantors, Tech Orda and Astana Hub). Mandatory entrance testing: https://learn.bigdatateam.org/

Course details

level

For advanced

Study format

Online

Entrance exams

No

Duration, in weeks

32

Education language

Russian

Qualifications

middle

Skills


What you will learn: Apply foundational knowledge in Computer Science, Big Data, Machine Learning, DevOps, and AI Agents when selecting technologies to solve product-focused tasks. Write clean and maintainable code leveraging agentic development (Agentic Coding). You will gain hands-on experience with: Data analysis using Python. Production-grade development in Python (pytest, argparse, unicode, encodings, logging, YAML, Mock, Web, Design Patterns, monitoring, deployment). Working with AI Agents (tools, skills, MCP, *code, *claw, Context & Memory, Ralph-loop and evals, Introduction to LLMs, etc.).

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