logo

XPUP

New

AI Prompt Engineering & Automation

600 000 ₸
Submit application
Allocated 5 Quotas

About course

More on XPUP

The course “AI Prompt Engineering & Automation” is designed to prepare entry-level specialists in the application of modern language models and AI automation technologies. The program covers the fundamentals of LLMs, prompt engineering techniques, API usage, and integration of AI into practical digital solutions. It also addresses the development of AI agents and automated workflows, including logic design, triggers, and integration with external services. Special emphasis is placed on the practical use of AI tools for business process automation. The training is based on hands-on assignments and the development of AI solutions built on real-world scenarios.

Special condition

To ensure accessibility of the program, installment payment is available. The total tuition fee is 600,000 KZT, of which 400,000 KZT is covered by a grant, while the remaining 200,000 KZT is paid by the student. The payable amount may be structured in installments for up to 24 months, reducing the monthly financial burden. The estimated monthly payment is approximately 8,500 KZT. Students on the waiting list are also eligible for installment payment of the full tuition fee of 600,000 KZT. In the event of receiving a grant later, the 400,000 KZT funding amount will be reimbursed to the student, while the remaining 200,000 KZT not covered by the grant remains mandatory and non-refundable.

Course details

level

For beginner

Study format

Online

Entrance exams

No

Duration, in weeks

26

Education language

Russian

Qualifications

junior

Skills


As a result of the program, students gain systematic knowledge of modern language models (LLMs) and their application in practical use cases. They develop prompt engineering skills, including designing, optimizing, and testing prompts to produce controlled and reproducible outputs. Students learn how to work with APIs, integrate AI services, and use external tools for process automation. Competencies are developed in building AI agents and designing automated workflows with triggers, conditions, and execution logic. They also acquire skills in evaluating AI output quality and optimizing solutions based on efficiency, cost, and speed. The final outcome is the ability to independently design and implement practical AI solutions and automation systems in real-world workflows.

FAQ

Similar courses

Other courses from XPUP