ABOUT THE COURSE:In the rapidly evolving landscape of product management, leveraging artificial intelligence (AI) is becoming increasingly crucial for staying competitive and innovative. The "AI in Product Management" course is designed to equip learners with the knowledge and skills to integrate AI tools into traditional product management practices. This course offers a comprehensive exploration of how AI can enhance various aspects of product management.Learners can explore about AI-powered market research, idea generation, customer and competitor analysis, sales forecasting, pricing strategies, and product development and more. The course also delves into the ethical considerations of AI, strategic planning, and performance management. Through practical examples, case studies, and hands-on sessions, students will gain a deep understanding of AI applications in product management.This course is ideal for aspiring product managers, marketing professionals, and business strategists looking to harness the power of AI to drive product innovation, improve decision-making, and achieve a competitive edge in the marketplace. Join us to transform your approach to product management with cutting-edge AI technologies and methodologies.INTENDED AUDIENCE: MBA, MIB, MBA-IB, M.Com.PRE REQUISITES:Any business graduate can opt for this course.INDUSTRY SUPPORT: All companies having their own product or service or both.
Overview
Syllabus
Week 1: Introduction to AI in Product ManagementOverview of AI in product management, the role of AI in modern product management, key AI tools for product managers, ethical considerations in AI, and case studies of AI in product management. It includes modules:
Module 1: Overview of AI in Product ManagementModule 2: The Role of AI in Modern Product ManagementModule 3: Key AI Tools for Product ManagersModule 4: Ethical Considerations in AIModule 5: Case Studies of AI in Product Management
Week 2: Market Research in the age of AIAI-powered market research tools, analyzing qualitative data with AI, enhancing quantitative research with AI, AI in customer sentiment analysis, and predictive analytics in market research. It includes modules:
Module 6: AI-Powered Market Research ToolsModule 7: Analyzing Qualitative Data with AIModule 8: Enhancing Quantitative Research with AIModule 9: AI in Customer Sentiment AnalysisModule 10: Predictive Analytics in Market Research
Week 3: AI for Idea Generation and Marketing PlanningAI in brainstorming and idea generation, using AI to validate ideas, AI-driven prioritization models, integrating AI into marketing planning, and case studies on AI in marketing planning. It includes modules:
Module 11: AI in Brainstorming and Idea GenerationModule 12: Using AI to Validate IdeasModule 13: AI-Driven Prioritization ModelsModule 14: Integrating AI into Marketing PlanningModule 15: Case Studies on AI in Marketing Planning
Week 4: Category Management and Customer Analysis using AIMarket and category analysis with AI, AI tools for customer segmentation, personalization engines using AI, predictive customer analytics, and AI-driven customer journey mapping. It includes modules:
Module 16: Market and Category Analysis with AIModule 17: AI Tools for Customer SegmentationModule 18:Personalization Engines Using AIModule 19: Predictive Customer AnalyticsModule 20: AI-Driven Customer Journey Mapping
Week 5: AI in Competitor AnalysisAI tools for competitor analysis, competitive intelligence with AI, real-time competitor monitoring, using AI to predict competitor moves, and case studies on AI in competitor analysis. It includes modules:
Module 21: AI Tools for Competitor AnalysisModule 22: Competitive Intelligence with AIModule 23:Real-Time Competitor MonitoringModule 24: Using AI to Predict Competitor MovesModule 25:Case Studies on AI in Competitor Analysis
Week 6: AI in Market Potential and Sales ForecastingAI-driven market potential estimation, sales forecasting models using AI, AI tools for demand planning, scenario analysis with AI, and integrating AI forecasts into strategy. It includes modules:
Module 26: AI-Driven Market Potential EstimationModule 27:Sales Forecasting Models Using AIModule 28:AI Tools for Demand PlanningModule 29: Scenario Analysis with AIModule 30: Integrating AI Forecasts into Strategy
Week 7: Developing AI-Enhanced Product StrategyStrategic planning with AI insights, positioning and differentiation using AI, AI in brand management, lifecycle management with AI, and case studies on AI in product strategy. It includes modules:
Module 31: Strategic Planning with AI InsightsModule 32:Positioning and Differentiation Using AIModule 33: AI in Brand ManagementModule 34: Lifecycle Management with AIModule 35: Case Studies on AI in Product Strategy
Week 8: New Product Development with AIIdeation and concept testing with AI, business case development using AI, market strategy formulation with AI, AI in go-to-market strategies, and pricing strategies using AI. It includes modules:
Module 36: Ideation andConcept Testing with AIModule 37:Business Case Development Using AIModule 38: Market Strategy Formulation with AIModule 39: AI in Go-to-Market StrategiesModule 40: Pricing Strategies Using AI
Week 9: AI in PricingDynamic pricing models, AI tools for price optimization, competitor-based pricing with AI, AI in psychological pricing, and case studies on AI in pricing. It includes modules:
Module 41: Dynamic Pricing ModelsModule 42:AITools for Price OptimizationModule 43: Competitor-Based Pricing with AIModule 44:AI in Psychological PricingModule 45:Case Studies on AI in Pricing
Week 10: AI in Product Development and Road MappingAgile development with AI, AI for product backlog prioritization, roadmap development using AI, AI in minimum viable product (MVP) development, and case studies on AI in product development. It includes modules:
Module 46: Agile Development with AIModule 47: AI for ProductBacklog PrioritizationModule 48: Roadmap Development Using AIModule 49:AI in Minimum Viable Product (MVP) DevelopmentModule 50:Case Studies on AI in Product Development
Week 11: AI in Promotion, Advertising, and DistributionAI-powered advertising, personalization in promotions using AI, AI in channel management, distribution optimization with AI, and case studies on AI in advertising and distribution. It includes modules:
Module 51:AI-Powered AdvertisingModule 52:Personalization in Promotions Using AIModule 53:AI in Channel ManagementModule 54:Distribution Optimization with AIModule 55:Case Studies on AI in Advertising and Distribution
Week 12: Managing Performance with AIAI in performance monitoring, AI for revenue and profitability analysis, benchmarking and adjustments using AI, AI in sales support and cost management, and future trends in AI for product management. It includes modules:
Module 56:AI in Performance MonitoringModule 57:AI for Revenue and Profitability AnalysisModule 58: Benchmarking and Adjustments Using AIModule 59:AI in Sales Support and Cost ManagementModule 60:Future Trends in AI for Product Management
Module 1: Overview of AI in Product ManagementModule 2: The Role of AI in Modern Product ManagementModule 3: Key AI Tools for Product ManagersModule 4: Ethical Considerations in AIModule 5: Case Studies of AI in Product Management
Week 2: Market Research in the age of AIAI-powered market research tools, analyzing qualitative data with AI, enhancing quantitative research with AI, AI in customer sentiment analysis, and predictive analytics in market research. It includes modules:
Module 6: AI-Powered Market Research ToolsModule 7: Analyzing Qualitative Data with AIModule 8: Enhancing Quantitative Research with AIModule 9: AI in Customer Sentiment AnalysisModule 10: Predictive Analytics in Market Research
Week 3: AI for Idea Generation and Marketing PlanningAI in brainstorming and idea generation, using AI to validate ideas, AI-driven prioritization models, integrating AI into marketing planning, and case studies on AI in marketing planning. It includes modules:
Module 11: AI in Brainstorming and Idea GenerationModule 12: Using AI to Validate IdeasModule 13: AI-Driven Prioritization ModelsModule 14: Integrating AI into Marketing PlanningModule 15: Case Studies on AI in Marketing Planning
Week 4: Category Management and Customer Analysis using AIMarket and category analysis with AI, AI tools for customer segmentation, personalization engines using AI, predictive customer analytics, and AI-driven customer journey mapping. It includes modules:
Module 16: Market and Category Analysis with AIModule 17: AI Tools for Customer SegmentationModule 18:Personalization Engines Using AIModule 19: Predictive Customer AnalyticsModule 20: AI-Driven Customer Journey Mapping
Week 5: AI in Competitor AnalysisAI tools for competitor analysis, competitive intelligence with AI, real-time competitor monitoring, using AI to predict competitor moves, and case studies on AI in competitor analysis. It includes modules:
Module 21: AI Tools for Competitor AnalysisModule 22: Competitive Intelligence with AIModule 23:Real-Time Competitor MonitoringModule 24: Using AI to Predict Competitor MovesModule 25:Case Studies on AI in Competitor Analysis
Week 6: AI in Market Potential and Sales ForecastingAI-driven market potential estimation, sales forecasting models using AI, AI tools for demand planning, scenario analysis with AI, and integrating AI forecasts into strategy. It includes modules:
Module 26: AI-Driven Market Potential EstimationModule 27:Sales Forecasting Models Using AIModule 28:AI Tools for Demand PlanningModule 29: Scenario Analysis with AIModule 30: Integrating AI Forecasts into Strategy
Week 7: Developing AI-Enhanced Product StrategyStrategic planning with AI insights, positioning and differentiation using AI, AI in brand management, lifecycle management with AI, and case studies on AI in product strategy. It includes modules:
Module 31: Strategic Planning with AI InsightsModule 32:Positioning and Differentiation Using AIModule 33: AI in Brand ManagementModule 34: Lifecycle Management with AIModule 35: Case Studies on AI in Product Strategy
Week 8: New Product Development with AIIdeation and concept testing with AI, business case development using AI, market strategy formulation with AI, AI in go-to-market strategies, and pricing strategies using AI. It includes modules:
Module 36: Ideation andConcept Testing with AIModule 37:Business Case Development Using AIModule 38: Market Strategy Formulation with AIModule 39: AI in Go-to-Market StrategiesModule 40: Pricing Strategies Using AI
Week 9: AI in PricingDynamic pricing models, AI tools for price optimization, competitor-based pricing with AI, AI in psychological pricing, and case studies on AI in pricing. It includes modules:
Module 41: Dynamic Pricing ModelsModule 42:AITools for Price OptimizationModule 43: Competitor-Based Pricing with AIModule 44:AI in Psychological PricingModule 45:Case Studies on AI in Pricing
Week 10: AI in Product Development and Road MappingAgile development with AI, AI for product backlog prioritization, roadmap development using AI, AI in minimum viable product (MVP) development, and case studies on AI in product development. It includes modules:
Module 46: Agile Development with AIModule 47: AI for ProductBacklog PrioritizationModule 48: Roadmap Development Using AIModule 49:AI in Minimum Viable Product (MVP) DevelopmentModule 50:Case Studies on AI in Product Development
Week 11: AI in Promotion, Advertising, and DistributionAI-powered advertising, personalization in promotions using AI, AI in channel management, distribution optimization with AI, and case studies on AI in advertising and distribution. It includes modules:
Module 51:AI-Powered AdvertisingModule 52:Personalization in Promotions Using AIModule 53:AI in Channel ManagementModule 54:Distribution Optimization with AIModule 55:Case Studies on AI in Advertising and Distribution
Week 12: Managing Performance with AIAI in performance monitoring, AI for revenue and profitability analysis, benchmarking and adjustments using AI, AI in sales support and cost management, and future trends in AI for product management. It includes modules:
Module 56:AI in Performance MonitoringModule 57:AI for Revenue and Profitability AnalysisModule 58: Benchmarking and Adjustments Using AIModule 59:AI in Sales Support and Cost ManagementModule 60:Future Trends in AI for Product Management
Taught by
Prof. Zillur Rahman
