Name: AI cho nghiên cứu và phát triển sản phẩm
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AI cho nghiên cứu và phát triển sản phẩm – Dr. Amar Massoud
Updated July 2026

If you’re searching for a free AI course that teaches product teams how to embed artificial intelligence into real‑world workflows, the Udemy course AI cho nghiên cứu và phát triển sản phẩm by Dr. Amar Massoud is a strong match. This online course covers the entire AI‑driven product development lifecycle—from market research and prompt engineering to compliance with the EU AI Act—so you can build evidence‑backed features, protect AI‑generated insights, and deliver certified prototypes. Whether you want to learn AI for product management, UX research, or strategic decision‑making, the curriculum provides practical tools, downloadable resources, and a final project that can be added to your professional portfolio.

What You'll Learn

Build reusable prompt templates with clear roles, contexts, constraints, and output formats, and understand why evidence‑based prompts outperform vague descriptions.
Master rapid market‑and‑competitor scans, applying the “two‑source rule” to validate data within ninety minutes before creating slide decks.
Learn to decide when aggregated data needs a split‑test, and conduct pre‑screening surveys with synthetic respondents before allocating recruitment budgets.
Understand how to transform thousands of unstructured records into ranked opportunity sets, traceable to original citations, and verify machine‑encoded data with a 10 % blind re‑encoding test.
Create AI‑enhanced PRDs that survive rigorous stakeholder critique and generate comprehensive user stories covering edge cases.
Implement end‑to‑end prototyping: turn specifications into clickable mock‑ups and run three‑variant idea tests within a single workday.
Analyze broken conversion funnels, calculate correct experiment sample sizes (including distribution assumptions), and build the first‑iteration evaluation framework.
Apply EU AI Act requirements—security, bias mitigation, IP ownership, consent, and transparency—to draft a one‑page AI usage policy for your team.

Course Details

Instructor: Dr. Amar Massoud
Enrolled students: 86
Language: Vietnamese (vi‑VN)
Certificate: Yes, upon completion
Includes: Lifetime access, mobile‑friendly video, downloadable resource library (prompt library, market‑review templates, PRD worksheets, compliance checklists)

What This Course Covers

Prompt Engineering & Evidence Management

Designing reusable prompts with explicit roles, contexts, and output formats.
Using evidence‑first prompting versus descriptive prompting.
Managing prompt libraries (12 core prompts) for product research tasks.
Validating AI‑generated answers with source citations.

Market & Competitor Research Automation

Conducting a 90‑minute market scan using AI‑assisted data extraction.
Applying the “two‑source rule” to flag fabricated figures before slide creation.
Leveraging AI to generate competitor comparison matrices with traceable references.
Exporting research findings into structured opportunity rankings.

Data Synthesis, Testing, and Validation

Determining when aggregated data requires a split‑test experiment.
Designing pre‑recruitment surveys with synthetic respondents.
Converting thousands of unstructured records into a ranked opportunity set.
Performing a 10 % blind re‑encoding test to verify machine‑coded data integrity.

Product Requirements & Prototyping

Writing AI‑augmented PRDs that address stakeholder objections.
Crafting user stories that cover edge‑case scenarios.
Translating specifications into clickable prototypes within one day.
Running three‑variant idea tests to validate concepts quickly.

Conversion Funnel Diagnosis & Experiment Design

Identifying broken conversion funnel stages using AI‑driven analytics.
Calculating accurate sample sizes for A/B tests, including distribution considerations.
Building an initial evaluation rubric with 30 criteria and scoring scales.
Conducting a full‑cycle experiment from hypothesis to result interpretation.

EU AI Act Compliance & Policy Drafting

Understanding current EU AI Act provisions (Article 50, upcoming updates through 2028).
Applying security, bias, IP, consent, and transparency requirements to AI projects.
Drafting a one‑page AI usage policy for product teams.
Implementing a compliance checklist to ensure ongoing regulatory alignment.

Who Should Take This Course

Product managers who want to integrate AI into their development pipelines, not just demos.
UX and market researchers aiming to expand qualitative research while maintaining traceability.
Product leaders who must answer “where did that number come from?” with verifiable evidence.
Professionals needing to defend AI‑assisted findings before skeptical stakeholders or regulators.
Teams transitioning from ad‑hoc AI usage to a disciplined, compliance‑aware workflow.

Prerequisites

No prior AI or machine‑learning experience required – the course is beginner‑friendly.
Basic familiarity with product development processes (roadmaps, PRDs, user stories) is helpful.
Recommended: experience with market research or data analysis tools (e.g., Excel, Google Sheets).

Why Enroll in This Course

This Udemy offering delivers a complete, practice‑oriented workflow that goes far beyond generic prompt lists. A free coupon provides 100 % off for a limited time, so you can start learning without financial risk. Because the curriculum is updated to reflect the latest EU AI regulations and includes real‑world case studies, you gain skills that are immediately applicable and future‑proofed—something many competing courses lack.

Course Highlights

Lifetime access to all video lessons, quizzes, and downloadable assets.
Self‑paced learning format lets you progress according to your schedule.
Certificate of completion that can be added to LinkedIn or a professional portfolio.
30‑day money‑back guarantee ensures you can request a refund if the material doesn’t meet expectations.
Mobile‑friendly content allows study on smartphones or tablets while on the go.
Comprehensive resource pack (prompt library, market‑review templates, compliance checklists, PRD worksheets) to accelerate real projects.

Frequently Asked Questions

Q: Is this course really free?
A: Yes. A free Udemy coupon grants 100 % off the regular price, giving you full access to every lecture, quiz, and downloadable resource at no cost. The offer is time‑limited, so enrolling soon ensures you benefit from the discount.

Q: What will I learn in this AI course?
A: You will master prompt engineering, rapid AI‑assisted market research, data synthesis and validation, AI‑driven PRD creation, conversion funnel diagnosis, experiment design, and EU AI Act compliance. Each module provides hands‑on exercises that translate directly into product‑development deliverables.

Q: Do I get a certificate after completing this course?
A: Yes. Upon finishing all lectures, quizzes, and the final project, Udemy issues a certificate of completion that you can display on LinkedIn, your résumé, or a personal portfolio.

Q: Is this course suitable for beginners?
A: Absolutely. The curriculum starts with foundational concepts like reusable prompts and builds up to advanced topics such as regulatory compliance. No prior AI expertise is required, though basic product‑management knowledge helps.

Q: How long do I have to enroll for free?
A: The free coupon is available for a limited period, typically a few weeks from the time you view the course page. Enrolling before the coupon expires locks in the 100 % discount for lifetime access.

Final Thoughts

AI cho nghiên cứu và phát triển sản phẩm equips product professionals with a disciplined, evidence‑based AI workflow that bridges research, design, and compliance. If you aim to harness AI responsibly and deliver verifiable product insights, this Udemy online course offers the tools, templates, and certification you need. Start today and transform your product development process with AI‑driven confidence.

AI cho nghiên cứu và phát triển sản phẩm