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EXTRA

9

AI Product Management

400 000 ₸
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Allocated 50 Quotas

About course

More on EXTRA

"AI Product Management" Course is a practical 26-week program designed for those looking to break into the AI Product Management profession or upgrade their PM skills with a strong focus on AI-driven products. Students will experience the full journey from initial idea to launch: market and user research, strategy and roadmap formulation, Agile development management, product analytics and A/B testing, monetization, and unit economics. The schedule includes three 90-minute Zoom sessions every week, covering theory, practical workshops, and real-world case studies (including Kaspi.kz, Netflix, OpenAI, Notion AI, and others). All sessions are recorded and come with lifetime access. The course is taught by an active Product Manager with hands-on experience at Hero's Journey and Choco. Upon completion, students will defend their capstone project, earning a certificate and a ready-made case study for their professional portfolio.

Special condition

In the event that the Student is unable to continue their studies after the commencement of the training under the Agreement, due to the initiative or fault of the Student, the School shall have the right to demand, and the Student hereby undertakes to pay, a penalty in the amount of 100,000 Tenge for each month of the course completed, within 10 business days from the date of the School's written demand.

Course details

level

For beginner

Study format

Online

Entrance exams

No

Duration, in weeks

156

Education language

Russian

Qualifications

middle

Skills


Upon completion of the course, the student will be able to: Develop product strategies and roadmaps for AI-driven products; Conduct user interviews, map Customer Journey Maps (CJM), and build user personas; Manage backlogs in Jira (User Stories, prioritizing via RICE/ICE frameworks); Prototype interfaces using Figma; Write basic SQL queries for product analytics; Design and analyze A/B tests; Calculate unit economics (CAC, LTV, ROI) and build financial models; Manage development teams using Agile/Scrum methodologies; Leverage AI tools (ChatGPT, Claude) to streamline PM workflows. Output Level: Junior → Middle AI Product Manager.

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