AI for Product Management & Innovation (Udemy.com)
Master Generative AI and predictive analytics to automate workflows, write bulletproof PRDs, and launch products faster.
Created by: Silviu Marisca
Last updated July 2026
What you will learn
- Automate Agile Documentation: Instantly generate comprehensive PRDs, User Stories, edge cases, and Acceptance Criteria using GenAI.
- Accelerate Market Research: Synthesize massive datasets, automate competitor intelligence, and run rapid concept validation using synthetic user personas.
- Chat with Your Data: Move beyond static dashboards to conversational querying, anomaly detection, and predicting Customer Lifetime Value (LTV).
- Navigate AI Ethics & Law: Keep your company out of the courtroom by mastering data privacy frameworks (GDPR, CCPA, AI Act) and mitigating algorithmic bias.
- Supercharge UX & GTM: Leverage AI to accelerate wireframing, generate contextual UX copy, and build hyper-personalized onboarding and marketing campaigns.
- Establish AI Governance: Create robust, safe AI usage policies for your product and engineering teams to prevent data leaks and "ghost shipping."
Course Description
Are you managing products, or are you just managing paperwork?
In today’s fast-moving tech landscape, traditional Product Managers spend up to 70% of their time on administrative grunt work: writing requirement docs from scratch, hunting for friction points in massive spreadsheets, and manually updating roadmaps. Meanwhile, the top 1% of product leaders have quietly automated these processes using Artificial Intelligence, freeing them up to focus on what actually matters: strategy, innovation, and revenue.
Welcome to The AI-Powered Product Manager.
Taught by Silviu Marisk, an industry expert who has trained over 300,000 learners globally, this comprehensive course is the ultimate playbook for the modern Product Manager. Across 8 modules and 75 tactical lessons, you will learn how to completely rewire your product development lifecycle using Generative AI and predictive analytics.
This isn't a theoretical course about neural networks. It is a highly practical, hands-on masterclass designed for corporate professionals who need immediate ROI. You will learn how to spin up synthetic users to test features before writing a single line of code, chat conversationally with your databases to uncover hidden friction points, and automate your entire Agile backlog.
Crucially, this course also covers the "invisible" skills required for enterprise-level AI integration: navigating the ethical landmines of algorithmic bias, managing IP copyright traps, and keeping your company compliant with global privacy frameworks like GDPR and the new EU AI Act.
Stop acting like a highly paid human copy machine. Start acting like a strategic visionary. Enroll today to future-proof your career and radically accelerate your product team's output.
Instructor Details
- 4.7 Rating
306 Reviews
Silviu Marisca
6x Udemy Bestselling Instructor
5x Udemy Highest Rated Instructor
10+ years of teaching experience
I am thrilled to connect with you. My name is Silviu, and I am a dedicated professional and global instructor with a mission: to bridge the gap between academic theory and real-world business practice.
My academic journey is anchored by a Postgraduate in Management from the prestigious Sciences PO Paris, a globally recognized institution known for its rigorous approach to public affairs and international business. This education provided me with a world-class framework in strategic thinking, global economics, and effective organizational leadership - the very principles that underpin the structure and quality of my courses.
Following my studies, I embarked on a dynamic corporate career, accumulating 10 years of intensive work experience across diverse sectors. My specialization lies in the critical fields of Business Analysis (BA) and Project Management (PM). During this time, I've worked on projects ranging from multi-million dollar software implementations to organizational restructuring initiatives.
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Reviews
By Martin Treutel on 9/15/2026
The frameworks for prompt engineering, measuring model ROI and AI ethics played a crucial role when I have to launch a new product.
By Hannah Wood on 9/3/2026
This was a solid course, but it seemed a bit impersonal and that it was created largely by AI. It was quite redundant and awkward in parts (i.e. often at the end of lessons it would say things like "Let's get started." and say something in the next lesson 3-4 minute lesson). This course took much longer than 11.5 hours. It definitely could be condensed. The "fluff" could be removed - there's lots of statements like "Stop me if you've heard this" or "You've seen the headlines" or "AI is not coming in the future, it's here" at the beginning of every 3-minute sub-lesson. Also, the examples were often the absolute ideal AI - as if it was the cure-all for everything in the work environment. Words like "perfect" were used frequently to describe AI-implemented solutions, whereas the tone on current/past work practices & solutions are diminished just because they don't have AI in them. (And that's a very subjective call). I appreciated the first 11 Sections most as they provided prompts that we PMs and Designers can use in our daily work. It would have been even more helpful if the course had provided the prompt library in an Excel file or other document to actually use. The examples provided of specific, named businesses and their adoption of AI & ML were helpful. But, again, some were extremely aspirational for most businesses and not likely in the near-term.
By Emílie Suchy on 8/14/2026
The sections on navigating AI ethics, mitigating model bias, and setting up the right guardrails for data privacy were incredibly timely.
By Vendula Zak on 8/14/2026
I can write clear technical requirements for our machine learning models and discuss latency trade-offs with my engineers with total confidence.
By Blanka Kalinova on 8/13/2026
If you want to move beyond the buzzwords and actually lead cross-functional machine learning projects, this is the course for you.
By Sylva Straka on 8/12/2026
Coming from a traditional PM background where features are deterministic, learning how to manage probabilistic AI models was completely eye-opening.
By Rozella Walter on 7/9/2026
great course, excellent pace.
By Fer A on 7/2/2026
Capstone resources are not attached anywhere
By Raegan Runolfsson on 7/1/2026
The pacing is excellent, the slides are clean and easy to follow. Every lesson ends with something you can apply immediately.
By John Fischer on 6/23/2026
I actually think there was a lot of good ideas presented here. The material was structured well and flowed good from beginning to end. What feels weird is the lack of reference material. Resource downloads are nothing more than a slide deck of the course… The capstone project is poorly explained and not in writing anywhere. You will hear some fancy cool prompts. But you will need to manually create a prompt notebook for them. I wish they had explained that on the front end so I could have done it.
Quality Score
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Overall Score : 94 / 100












