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AI in Product Management

400 000 ₸
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Allocated 50 Quotas

The "AI in Product Management" course is designed for those who want to master modern approaches to product management using artificial intelligence tools (LLM, RAG, no-code, analytics). Students will not only gain a theoretical understanding of core product management principles, but also develop concrete practical skills: hypothesis generation using AI, data analysis, MVP creation, and process automation.

Special condition

A guarantee deposit of 100,000 KZT is required. The guarantee deposit is a mandatory payment ensuring the student fulfills all obligations under the training agreement. The deposit is refunded in full upon completion of studies at the academy, provided that all obligations under the training agreement have been met and the student has successfully passed the competency assessment test conducted as part of the training.

Course details

level

For beginner

Study format

Online

Entrance exams

No

Duration, in weeks

26

Education language

Kazakh

Qualifications

middle

Skills


- Targeted use of AI tools: students will learn to select AI solutions (LLM, RAG, no-code, analytics) for specific goals and integrate them into product processes - Prompt engineering and document generation: writing effective prompts, automatically generating PRDs and technical documentation, optimizing document workflows - MVP and prototyping: building the first version of a product using no-code platforms, developing and testing user scenarios - Working with data: selecting product metrics, conducting cohort analysis, preparing and analyzing data using Python and SQL - Visualization and storytelling: extracting insights from data using BI tools, building dashboards, and presenting results visually - Project experience: in the final project, participants turn their idea into an MVP and present it, gaining real-world product experience - Communication and go-to-market: working with stakeholders, researching the market using AI, conducting interviews, and making data-driven decisions

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