Գրանցվի՜ր դասընթացին
Թող տվյալներդ, և մեր մասնագետը շուտով կապ կհաստատի քեզ հետ
What is this course
A STRATEGIC UPGRADE
You already know how products are built.
Now learn how AI changes product discovery, strategy, and execution.
Now learn how AI changes product discovery, strategy, and execution.
01
02
03
Understand AI for Product Work
Apply AI IN Product Lifecycle
Build Better Product Systems
Learn how Generative AI, Predictive AI, Machine Learning, and LLMs actually work - without unnecessary technical complexity.
Use AI for discovery, research, PRDs, user stories, feedback analysis, SQL, metrics, A/B testing, prototyping, and workflow automation.
Move beyond random prompts and build structured workflows, custom AI agents, and practical AI-supported product operations.
In 8 practical sessions, you’ll learn how AI can support product discovery, user research, product strategy, documentation, analytics, automation, and rapid prototyping - while understanding its limitations, risks, and responsible use.
Who work with requirements, data, stakeholders, and technical teams - and want AI to make this process clearer and more efficient.
Business Analysts
Who want to use AI to analyze feedback, extract patterns, prepare interviews, and synthesize user insights faster.
UX Researchers
Who want to use AI to speed up research, documentation, decision-making, and everyday product workflows.
Product Managers
Product Team Leads
Who want to introduce AI workflows into their teams without losing structure, quality, or human judgment.
Startup Founders
Who want to validate ideas faster, build functional mockups, analyze market opportunities, and create early product systems with AI.
Product Owners
Who need to turn ideas, stakeholder input, and technical requirements into clear epics, user stories, and acceptance criteria.
Who is this for
BUILT FOR PRODUCT PEOPLE WHO WANT TO STAY RELEVANT
PRDs, Epics & User Stories
05
User Research & Feedback Analysis
04
Custom AI Agents & Automations
Rapid Prototyping & Functional Mockups
07
08
Data Analysis & Product Metrics
06
AI in Product Discovery & Strategy
03
Advanced Prompt Engineering for PMs
02
Foundations of AI for Product Managers
01
Curriculum
EIGHT SKILLS.
ONE MONTH.
ONE MONTH.
Final Project
YOU DON'T GRADUATE WITH
A CERTIFICATE.
YOU GRADUATE WITH A SYSTEM.
A CERTIFICATE.
YOU GRADUATE WITH A SYSTEM.
01
02
03
Tool Stack
Production Prompts
Automated Workflow
8–12 tools with tier, monthly cost, underlying model, role in the stack, and rationale. Total spend budgeted and justified.
Brand-voice long-form, ad variant generation with banned words, and VoC extraction - each with system prompt, model, and temperature.
End-to-end workflow with at least 3 steps, one AI reasoning step, and at least one human-review gate. Failure modes documented.
04
Eval Set
5–10 examples with a 4-criteria rubric and baseline scores across two candidate models. Scoring methodology explained.
05
Ethics Policy
One page: acceptable use, prohibited uses, approved tools by data classification, FTC + EU Article 50 disclosure, HITL defaults.
In the final session, you’ll present a practical AI-powered product workflow designed for a real product challenge.
Start your journey at ACA X
Course Fee: 100,000 AMD
Get up to 100,000 AMD back if you submit your annual tax declaration and have income tax.
Master AI skills.
Build your future.
Lead the change.
Build your future.
Lead the change.
Secure your spot now
X
FREQUENTLY ASKED QUESTIONS
This course is designed for Product Managers, Product Owners, Business Analysts, UX Researchers, Product Team Leads, Startup Founders, and professionals who work with requirements, users, data, stakeholders, and technical teams.
No. You don’t need programming experience. The course is built for product professionals who want to understand how AI works and how to use it practically in product workflows.
You will learn how to use AI for product discovery, user research, feedback analysis, PRDs, epics, user stories, product metrics, SQL, A/B testing, prototyping, automation, and workflow design.
This course is not just about AI tools. It focuses on how AI changes product discovery, strategy, research, documentation, analysis, and execution — while also covering limitations, risks, and responsible use.