Datanomix Academy

AI Product Manager: Driving AI & ML Products from Concept to Metrics

400 000 ₸

Allocated 34 Quotas

About course

This course is dedicated to AI and ML product management, guiding participants through the complete product lifecycle: from formulating a product hypothesis and working with data to production deployment and performance evaluation. The program covers data management, model quality metrics, and ML project management frameworks (including the Data Product Canvas, hypotheses generation, and experimentation). Students will learn how to align AI features with business metrics and unit economics, as well as master A/B testing methodologies. A dedicated module focuses on cutting-edge technologies—including LLMs, RAG, multimodality, and AI agents—supplemented by a practical prompt library. The course is tailored for practicing Product and Project Managers seeking to confidently launch AI-driven products. Upon completion, students will be fully equipped to delegate tasks to Data Science teams, select appropriate metrics, and evaluate the business impact and economics of AI features. Heavy emphasis is placed on hands-on practice, real-world case studies, and regular feedback from instructors and mentors. Every participant will develop and pitch their own AI product project as a final capstone defense.

Special condition

In the event that the Student is unable to continue their studies after the commencement of the course, either at their own initiative or due to their fault, a penalty in the amount of 100% of the tuition fee (400,000 KZT) shall apply. Grounds for dismissal from the course: Failure to submit three (3) or more homework assignments within the established deadlines; Missing three (3) or more seminars without prior notice and approval from the course coordinator; Failure to take or refusal to take the final assessment test; Failure to pass the final exam case study. Payment Procedure: The School reserves the right to demand payment of the penalty. Upon issuance of such a demand, the Student must pay the amount within ten (10) business days from the date the School sends a written notice. Enrollment and Tuition Conditions for Waitlist Students Discounted Enrollment: Students enrolled from the waitlist are admitted on a paid basis with a 20% discount off the full grant value (the discounted tuition fee is 320,000 KZT). Transition to the Tech Orda Grant: If a Tech Orda grant slot becomes available during the course (due to the dismissal or transfer of another student) and this Student is officially transferred to the grant, the School will issue a full refund of the tuition fees previously paid by the Student. Candidate Evaluation & Selection This test effectively selects candidates who: Possess a foundational understanding of AI technologies and their product applications; Demonstrate a product-driven mindset and result-oriented approach; Understand business context and key success metrics; Can articulate their proposals in a structured and coherent manner; Are capable of balancing technological capabilities, business needs, and user experience (UX). To pass the test successfully, you must answer 80% of the questions correctly and solve the case study.

Course details

level

For advanced

Study format

Online

Entrance exams

Duration, in weeks

Education language

Russian

Qualifications

middle

Skills

AI/ML product lifecycle management — from hypothesis formulation to production deployment; Task scoping for Data Science teams and defining model requirements; Selection and interpretation of model quality metrics and proxy metrics; Utilizing the Data Product Canvas and validating product hypotheses; Calculating unit economics for AI features and aligning them with business outcomes (KPIs); Designing and analyzing A/B tests, including experiments for AI-driven functionality; Leveraging LLMs, prompt engineering, RAG, and AI agents to solve product use cases; Accounting for model interpretability, AI UX, and ethical considerations during AI solution deployment.

FAQ

What is the Tech Orda program?
- Tech Orda is a human capital development program in the field of IT. The program provides subsidized tunding for the training of IT specialists in private schools of the Republic of Kazakhstan.
Where will the selection of candidates for training take place?
- Acceptance and processing of applications will take place at the showcase of IT schools at astanahub.com portal.
What are the requirements for candidates?
- The basic requirements for candidates include citizenship of the Republic of Kazakhstan and the age limit from 18 to 45 years. Additional requirements depend on the IT-school / IT-company and the course you choose. It is mandatory to read all the conditions before applying for training.
How much does the training cost?
- The amount of funding per person is up to 500,000 KZT. If the training is conducted in an offline format, the program covers up to 500,000 KZT, and if the cost exceeds this amount, the student pays the difference. For online or hybrid training, the program covers up to 400,000 KZT, and if the cost is higher, the remaining amount is paid by the student. If the tuition fee is below the established limits (500,000 KZT for offline or 400,000 KZT for online/hybrid), the program covers it in full.
How long does the quota training under the Tech Orda program last?
- The training will take place from 6 months or more, depending on the Course and the IT-school you plan to enroll in.
How many IT schools participate in the program?
- The list of all IT schools is available on the showcase of IT schools at astanahub.com portal.
How many applications can I submit?
- Candidates can only apply for 5 (five) Participants of the Program.
How many scholarships/quotas can a candidate receive under the Program?
- The candidate can only study 1 (one) once within the framework of the Program. There is one exception: A student can get training in 2 (two) Courses during the duration of the Program, only provided that one takes Courses that are pre- and post-prerequisites to each other from the same Participant of the Program (IT school/IT company). For example, if you first study for a Junior Web Developer at School X in 2023 and then apply for a Middle Web Developer at the same school X in 2024.
Can a student who has completed a quota training under the Program in 2023-2024 apply again?
- A student can get training in 2 (two) Courses during the duration of the Program, only provided that one takes Courses that are pre- and post-prerequisites to each other from the same Participant of the Program (IT school/IT company).
If I studied with a Program Participant in 2023 (IT schools/IT companies), but was on the waiting list, can I apply now?
- Yes, you can. However, we recommend that you contact the Program Participant (where you have completed education) to confirm your status on the waiting list within the Program.
Is there an opportunity for a student to transfer from one IT school to another, which is also a Participant of the Tech Orda program?
- As soon as the candidate confirms his choice to apply for a grant at a certain IT-school, there is no possibility to transfer to another school. Therefore, we strongly recommend that you consider all available options before making a decision on accepting/rejecting a grant within the framework of the Program.
Should Candidates who have received a quota work out after training?
- No, such counter obligations are not provided for by Astana Hub. Other conditions may be regulated in the contract between the IT-school and the student.
Can I opt out of studying during the learning process? Is there a penalty if I don't complete the training?
- The conditions depend on the specific IT school/IT company you choose. In the school card on the showcaseof IT-schools at astanahub.com portal, there is a special 'Special conditions' section where this information can be indicated. Also, we recommend that you contact the IT school directly and find out about all the terms of the contract.
Can I study at the same time in an IT-company (EPAM) and an IT-school as part of the Program?
- No, within the framework of the Program, you can study at only one IT-school or IT-company.