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AI-Empowered Head of Product

520 000 ₸
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Allocated 65 Quotas

The "AI-Empowered Head of Product" course prepares product leaders capable of integrating AI at all stages of product development. The program covers advanced Discovery methods, in-depth work with product analytics (AARRR, North Star, SQL, A/B testing), and strategic planning through Impact Mapping. Participants will master prioritization (WSJF, Cost of Delay), building Go-to-Market strategies, and effective management of C-level stakeholders. Special emphasis is placed on technical autonomy: from understanding architecture and APIs to "vibe coding" and routine automation using neural networks (Cursor, Claude). Graduates will be able to scale processes, manage risks, and make precise decisions based on data and unit economics.

Special condition

A penalty of 400,000 tenge is applied in case of unsuccessful completion of the training. The additional tuition fee paid by students themselves amounts to 120,000 tenge. Student selection criteria: 1) Work experience in IT management 2) A test assignment to assess IT and product management knowledge 3) Motivation letter (or Statement of Purpose) 4) Based on the results of the test assignment and motivation letter, individual interviews will be conducted with successful candidates

Course details

level

For advanced

Study format

Online

Entrance exams

No

Duration, in weeks

26

Education language

Russian

Qualifications

senior

Skills


Development and implementation of a product strategy based on the product life cycle. Conducting comprehensive market and competitor analysis. Creation and use of Lean Canvas and other tools for the Discovery phase. Backlog prioritization and management of the workflow with User Stories and Job Stories. Conducting in-depth user interviews, forming hypotheses, and planning CustDev. Developing a product vision and presenting it to stakeholders. Creating and using Customer Journey Maps, Service Blueprints, and other user journey maps. Building and interpreting product metrics, including the metrics pyramid. Planning MVP, PMF, PCF stages, and other key phases of product development. Selection and implementation of user retention tools. Development and application of marketing and sales strategies to achieve business goals. Setting product goals using OKRs and other approaches, including the AAARRR model. Managing unit economics and creating financial models. Hiring and retaining employees, forming informal leadership within the team. Using AI tools to optimize work and solving practical tasks using SQL. Energy management and prevention of professional burnout: skills for increasing productivity.

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