
Explore Manus AI, an advanced platform similar to ChatGPT, and learn to use chat, agent, and adaptive modes for market research and product development.
Explore product ideation and concept development using a generative AI tool to generate ten real estate SaaS ideas, evaluate market demand, and build a ready-to-develop product idea bank.
The lecture guides evaluating ten product ideas using market demand, feasibility, differentiation, revenue potential, and time to build, then ranking them to select lead nurture AI as the top option.
Define the product vision and value proposition for lead nurture AI in real estate, outlining the mission, unique value proposition, brand promise, and a hyper personalized multi-channel lead conversion approach.
This lecture explains prioritizing features for lead nurture AI using the Moscow framework, detailing a comprehensive MVP feature set for lead management, capture, segmentation, and automation.
Explore end-to-end user flow creation for a lead nurture AI product, detailing onboarding, main feature usage, decision points, and conversion flow with AI-assisted UX prototyping and MVP framing.
Define an MVP for lead nurture AI with user stories, acceptance criteria, and validation artifacts like landing page copy. Support CSV import and lead scoring while avoiding a CRM.
Create a concept prototype for a lead nurture AI tool, generating low-fidelity UI wireframes, copy flows, and a text-based prototype importable to Figma.
Leverage generative ai as your technical architecture to define requirements, team size, timelines, api needs, and modular backend and database schemas.
Create a six-month product roadmap for lead nurture ai, with phased milestones, sprints, ai feature integration, and go to market strategy.
Develop a go-to-market strategy for a product, using AI to craft audience analysis, messaging, launch plans, pricing, distribution, social content, landing pages, emails, and partnerships for a market launch.
Generate 30–50 leads for a real estate product using generative AI, define target accounts and decision makers, and export a csv of key contact fields.
Empower leaders and managers to turn plain-English prompts into fully functional apps with Emergent Labs, a no-code AI platform that speeds tool creation, reduces costs, and enables data-driven decisions.
Build an interactive ai business decision assistant web app with a professional dashboard that outputs 3 to 5 solutions, with descriptions, pros and cons, timelines, costs, ROI, and learning resources.
Explore Emergent Labs' ai powered business assistant web application that analyzes challenges and proposes onboarding, ai powered chatbots, and personalized engagement solutions, comparing ROI, risk, and timelines with multi-factor analysis.
Build an AI Strategy Copilot web app with Emergent Lab to validate business ideas, translate high-level goals into actionable strategies, and track risks, KPIs, and execution roadmaps.
Explore ten ai-powered market research types, from industry analysis and competitor analysis to ideal customer profile and trend analysis, using a research agent to plan, analyze, and generate ready reports.
Explore market size and growth analysis to estimate total addressable market, current size, CAGR, and forecasts for AI-driven products, using Manus for data-driven insights.
Analyze global AI SaaS market segments across industry verticals, business sizes, regions, and use cases like automation, analytics, and personalization to identify growth opportunities and profitability in 2025–2026.
Learn competitive landscape analysis for AI video creation by benchmarking top players, pricing models, and audience segments; synthesize insights to help a new entrant differentiate successfully.
Analyze the semiconductor value and supply chains with Manus Ai, mapping stages from raw materials to final devices, identifying key players, cost drivers, margins, and risks, with visuals.
Conduct a pestel analysis of the Indian electric vehicle industry with AI to forecast long-term political, economic, social, technological, environmental, and legal risks and inform strategic recommendations.
Analyze Porter's five forces—rivalry, threats of new entrants and substitutes, and the bargaining power of buyers and suppliers—within the AI marketing automation industry to assess profitability and guide strategies.
Perform direct competitor analysis of Jasper AI by comparing competitors on product descriptions, unique selling proposition, pricing models with free plans, target markets, and generate visuals plus strategic recommendations.
Analyze indirect competitors for Canva, comparing alternatives that solve similar design and publishing problems differently, and identify AI integration and retention opportunities.
Perform a feature-by-feature competitive analysis of top AI tools—ChatGPT, Claude, Gemini, and Perplexity—covering models, data access, interface design, integrations, data visualizations, pricing, and use cases for research, writing, and automation.
Analyze market share and growth for productivity tools, comparing leaders like Notion, ClickUp, Asana, and Coda, and assessing market value, user growth, and funding to inform investor-ready insights.
Analyze customer sentiment and review data with Manas AI to compare competitors' responses. Identify top strengths and pain points and present visuals and a sentiment report to guide product improvements.
Analyze competitors' go-to-market strategies for Jasper AI, copy dot AI, and Writesonic, covering launch approaches, beta and early access, marketing channels, retention methods, loyalty communities, and channel-wise visuals.
Create detailed semi-fictional personas from real user data like interviews, surveys, analytics, and behavioral patterns to humanize your product audience. Use persona research to build empathy, prioritize, and align teams.
Use ai-driven demographic persona research to identify target users for an ai powered resume builder, creating three personas and pricing models to guide launch strategy.
Use artificial intelligence to conduct behavioral persona research, map user actions and device preferences. Translate findings into data visuals and dashboards that inform product design and strategy.
Delve into psychographic persona research to map personality, lifestyle, attitudes, and motivations of your target audience, guiding brand voice, copywriting, and emotional marketing with data visuals.
Explore technographic persona research to map technology stacks, automation comfort, and integration needs, and compare three personas: all in adapter, pragmatic professional, and traditionalist, for SaaS or B2B marketing strategies.
Identify decision makers and influencers in B2B purchases using role based persona research, and craft tailored messaging for the CMO, marketing manager, and marketing executive to drive SaaS adoption.
Explore pain point focused persona research to identify customer challenges and uncover AI-powered product feature ideas, from time management to information overload and collaboration improvements.
Explore journey-based persona research to map four-stage journeys from discovery to retention using ai tools and heatmaps for ux and funnel optimization.
Analyze problem–solution fit using AI to evaluate whether an AI powered content repurposing tool for social media marketers meets pain points and confirms product market fit while identifying gaps.
Analyze target audience fit for an AI-powered email tool by identifying ideal users, their pain points and motivations, and scoring each segment to guide marketing focus.
Analyze value proposition fit by testing whether messaging clearly communicates product benefits to target users, identify misalignment and differentiate the offering, and outline improvements for stronger product-market fit.
Learn how to assess feature market fit by aligning a product's features with customer needs, using Jasper AI and market needs like content quality, tone, and SEO, with actionable recommendations.
Analyze pricing market fit for three AI video tools—Victory AI, Synthesia, and Runway ML—by comparing pricing tiers, value, target audiences, and subscription flexibility to assess adoption potential.
Apply sentiment-based product market fit analysis with generative AI to extract insights from social posts and reviews, identify top positive and negative themes, pmf gaps, and strategic recommendations.
Learn to automate trend analysis with AI agents to identify patterns and emerging opportunities in customer behavior, technology, and market changes, enabling data-driven, proactive product decisions.
Analyze Gen Z consumer behavior trends in ecommerce, using perplexity labs to predict buying patterns, preferred shopping channels, sustainability, speed, and personalization for data-driven product strategy.
Explore how technological trend analysis tracks emerging AI video creation technologies, including diffusion models, multimodal AI, and transformer architectures, using Perplexity Labs prompts to guide researchers, founders, and product developers.
Explore social media trend analysis for marketing professionals using Perplexity Labs, ChatGPT agent, and Gemini to compare AI-driven insights, including short form videos, AI avatars, hashtags, and platform-specific growth.
Perform visual and data driven trend analysis with ai to generate a data-rich ppt deck of image generation tool trends from 2020 to 2025 for product teams.
Learn regional market size and growth analysis using Manus AI Agent, analyzing AI marketing tools across North America, Europe, and Asia Pacific with market size, CAGR, and 2030 forecasts.
Analyze country-by-country market opportunities to identify the best launch markets for an AI productivity app, using a scorecard of demand, purchasing power, tech adoption, ease of digital penetration, and competition.
Explore cultural insights and behavioral analysis to localize AI learning apps across India, Japan, and Brazil, understanding learning preferences, pricing sensitivity, trust factors, and adoption drivers.
Explore how regional policies shape AI writing assistant products, comparing GDPR, India DPDP, and US guidelines, with emphasis on data storage, consent, and regulatory impact.
Identify underserved regions with high AI-based CRM potential via geo-based opportunity gap analysis, mapping Middle East and Africa, Latin America, and Southeast Asia, with market entry and localization strategies.
Learn to perform competitive pricing analysis in product pricing research, using Manus AI to compare base prices, storage differences, and value positioning across iPhone, Galaxy, and OnePlus with actionable recommendations.
Analyze Netflix price architecture with multi-tier pricing across mobile, standard, and premium plans. Examine audience segmentation, ad-supported vs ad-free options, price gaps, and revenue optimization strategy.
Analyze discount and promotional pricing across Amazon, Walmart, and Target during major sales events, detailing typical discounts, promotions, and customer acquisition impact.
Analyze subscription pricing in India, comparing monthly versus yearly plans and bundles, and assess value for money and competitive positioning against Disney Hotstar and SonyLiv.
Analyze dynamic pricing for food delivery platforms using AI, focusing on peak pricing, delivery fee fluctuations, weather and event based adjustments, and Zomato vs Swiggy comparisons.
Brand-level swot analysis using generative ai to evaluate internal capabilities and external market risks, uncovering competitive positioning with data-driven insights.
Explore a comprehensive competitor swot analysis using generative ai to compare Nike and Adidas across strengths, weaknesses, opportunities, and threats, revealing who is better positioned for global growth.
Analyze Starbucks, Costa Coffee, and McCafe with an ai-driven competitive positioning map, comparing pricing, experience, and brand perception, and outline differentiation strategies for a new coffee brand.
Compare Coca-Cola and Pepsi through market positioning statements, analyzing taglines, emotional messaging, value propositions, and consumer segments to reveal global and country-wise positioning.
Identify blue ocean opportunities and opportunity gaps in the global airline industry by analyzing Emirates, Singapore Airlines, and Qatar Airways, including sustainability and customization.
Are you ready to revolutionize your product management career and build breakthrough products that dominate the market?
In today’s fast-paced digital landscape, staying ahead of the competition requires more than just traditional product management skills. The future of product development is here, and it’s powered by Generative AI. This is your opportunity to become a leader in the next generation of product innovation.
Welcome to the most comprehensive course on Product Development and Product Research Using Generative AI. This isn’t just another product management course; it’s a career-transforming journey that will equip you with the cutting-edge skills to leverage AI for every stage of the product lifecycle. Whether you're an aspiring product manager or a seasoned professional, this course will empower you to make smarter, faster, and more data-driven decisions.
Unlock the Power of AI in Product Management
We’ll move beyond theory and dive straight into practical, hands-on applications. You will learn how to use powerful Generative AI tools like ChatGPT, Gemini, Manus AI, and Perplexity Labs to streamline your workflow, uncover deep market insights, and build products that customers love. From initial product ideation to crafting a winning go-to-market strategy, you will master the art and science of AI-powered product development.
What Makes This Course Unique?
This course is meticulously designed to fill the critical gap in the market for product managers skilled in Generative AI. While other courses teach the fundamentals, we take you to the forefront of innovation. You will learn:
•AI-Driven Product Development: Master the entire product development lifecycle, from concept and user flow creation to MVP definition and technical architecture recommendations, all enhanced with AI.
•Deep Market Research with AI: Conduct comprehensive industry analysis, market sizing, and competitive landscape analysis using AI tools to identify untapped opportunities.
•Build Data-Backed Personas: Move beyond guesswork and create detailed, accurate customer personas by analyzing demographic, psychographic, and behavioral data with AI.
•Strategic Analysis Frameworks, Reimagined: Apply classic strategic frameworks like PESTEL, Porter's Five Forces, and SWOT analysis with the speed and depth that only AI can provide.
•Achieve Product-Market Fit Faster: Leverage AI to analyze customer feedback, pricing strategies, and product features to find the perfect product-market fit.
By the end of this course, you won't just understand product management—you will be a forward-thinking leader capable of building the products of tomorrow.
Join us and start building the future, today! Enroll now to become an expert in AI-powered product development and research.
What you'll learn
•Master the entire product development lifecycle using Generative AI, from ideation to launch.
•Leverage powerful AI tools like ChatGPT, Gemini, and Manus AI for advanced product research and analysis.
•Conduct in-depth market research, including industry analysis, market sizing, and competitive landscape analysis with AI.
•Create highly accurate and detailed customer personas using AI-driven demographic, psychographic, and behavioral research.
•Define a winning product vision, value proposition, and go-to-market strategy using data-driven insights from AI.
•Master strategic analysis frameworks like PESTEL, Porter's Five Forces, and SWOT analysis, supercharged with AI.
•Develop and prioritize product features, create product roadmaps, and define MVPs with greater speed and accuracy.
•Analyze customer sentiment, pricing strategies, and market trends to achieve and validate product-market fit.
•Identify and analyze opportunity gaps, blue ocean strategies, and competitive positioning to build products that stand out.
•Gain the in-demand skills to become a top-tier product manager in the age of AI.
Who this course is for
•Aspiring Product Managers who want to enter the field with a powerful, in-demand skillset that sets them apart.
•Current Product Managers, Product Owners, and Product Marketers who want to upgrade their skills and lead the charge in AI-driven product innovation.
•Entrepreneurs and Startup Founders who want to build better products faster and gain a competitive edge in the market.
•UX/UI Designers, Engineers, and Business Analysts who want to understand the future of product development and collaborate more effectively with product teams.
•Anyone curious about the intersection of Artificial Intelligence and business strategy and looking to gain practical, career-advancing skills.
Requirements
•No prior experience with product management or AI is required. We will start from the fundamentals and build up your expertise step-by-step.
•A willingness to learn, experiment, and embrace new technologies is all you need to succeed in this course.