
Demystifies AI, ML, deep learning, and generative AI, outlining differences and practical uses. Learn to pick the right tool for predictions or creation as a product manager.
Learn five core terms every product manager needs: LLM, tokens, prompt engineering, hallucination, and RAG, and how they shape strategy, costs, and reliable AI features.
Weigh building, buying, and fine-tuning options for ai in product management, from building a foundation model to renting via an api, to fine-tuning an open-source model with your data.
Assess your organization's data readiness before AI projects by ensuring data is accessible, clean, and compliant, centralizing silos, and avoiding garbage in, garbage out.
Turn AI buzzwords into strategy by mastering ML, generative AI, LLMs, hallucinations, tokens, and RAG; use API-first prototyping and clean data to solve real user problems.
Automate competitor intelligence with an AI-driven 24-7 radar, using job-board scraping, changelog and pricing monitoring, and customer-review analysis to reveal new product lines and competitive positioning.
Use predictive AI to forecast trends and align features timely. Learn three tactics—demand forecaster, hype filter, and early warning system—and how to process user interviews with robot note-taking.
Automate interview notes with ai, transcribe and separate speakers, and apply a 3-step workflow—invisible scribe, theme machine, and stakeholder weapon—to reveal checkout flow pain with direct quotes.
Learn to supercharge RICE and Kano with AI, turning subjective scores into data-driven, unbiased assessments from user feedback, and create a mathematically and emotionally sound roadmap.
Turn your AI into a product GPS with the Friday Recalculation Engine, exporting sprint progress and the original roadmap to generate three options for adjusting the roadmap to hit goals.
Learn to reframe roadmap shifts for stakeholders using AI-powered prompts, including empathy translator, Slack pacifier, and angry FAQ, to turn delays into strategic pivots.
Explore generating A/B test variations with the multiverse protocol: copy matrix, layout shaker, and wild card ideas, using AI to produce rapid, testable landing-page options.
Explore three AI tool types for rapid wireframing—from sketch translators to text-to-pixel engines and canvas copilots—and validate usability with AI-driven heatmaps.
Discover an ai-powered go-to-market launch console that builds a strategy in minutes by defining an ideal customer profile (icp), a sharp positioning, and high-roi channels, with ready-to-use ads and assets.
Create a full campaign funnel in minutes by dividing ai into three departments: the hook specialist, the landing page architect, and the email closer, crafting ads, landing pages, and emails.
Use programmatic seo to capture free traffic by building a content factory: generate a long-tail keyword matrix, a master article template, and a human-edited, quality-checked output.
Deploy ai tools to sales teams, including the objection annihilator, competitor x-ray, and icebreaker engine, to close deals faster with battle-ready rebuttals and personalized outreach.
Master the conversational data protocol to chat with your data in plain English, breaking the SQL barrier with instant query, interrogation, and boardroom and executive summaries for automated KPI reporting.
Identify and fix friction in product usage by using AI to analyze session data for rage clicks, loops, and abrupt ejects, turning insights into a smoother, conversion-friendly experience.
As the PM you define what gets built and who it serves, addressing the three ethical landmines—bias from data, engagement harms, and explainability—alongside GDPR, CCPA, and the AI Act compliance.
Explore GDPR, CCPA, and the EU AI Act to design compliant AI products, enforce explicit consent, enable data deletion, practice data anonymization, and assess system risk.
Navigate the intellectual property wild west of GenAI by enforcing data licenses for AI training, guarding outputs, and preventing code contamination with policy-driven, bias-aware management.
Mitigate algorithmic bias with the Bias Detox Protocol by running the flip test, blind spot audit, and failsafe design to ensure fair, transparent AI before launch.
Examine Spotify's Discover Weekly case study to see how layered AI, including collaborative filtering and NLP, solves the data bottleneck and delivers a frictionless, invisible user experience.
Learn how ai reshapes product management across three horizons—from automating admin work to simulating users and delivering liquid, personalized interfaces—empowering you to manage outcomes with speed and creativity.
Master AI product management by analyzing data with Gen‑AI, drafting a recovery PRD, flagging ethical risks, and presenting an automated strategy; earn your AI PM certification and carry AI frameworks.
Artificial intelligence emerges as the defining strategic imperative, reshaping the global economy with massive productivity gains and new products, and making AI-enabled businesses the standard for the next decade.
Discover how artificial intelligence, especially generative ai, fuels a new digital age through creativity, automation, and learning machines, making every business an ai business, across software, robotics, and autonomous systems.
Define your objectives and assess data readiness before talking to vendors. Evaluate technical requirements and ROI to choose the simplest, scalable AI solution over the most expensive.
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.