The AI-native way to master product management

• Module with begin with a 30min Orientation Session 
•  Product Management as a functional discipline practiced across different industries
• KASH framework for Product Managers to develop the required competencies.Knowing one's own personality traits
• Transitioning to Product Management roles

• Learn to apply Carol Dweck's Fixed vs. Growth Mindset theory for effective leadership and team development.
• Develop critical thinking principles to make sound, rational business decisions.
• Identify common biases in decision-making and master techniques to overcome them.
• Build strong leadership and influencing skills to drive collaboration and impact

• Developing Customer Value Proposition:Functional, Economic and Emotional Value
• FCB Framework and examples of product falling into each quadrant
• Customer Journey Mapping

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• Using AI for customer research and persona creation
• Generating and refining product requirements and PRDs
• AI-assisted market and competitor analysis
• Creating user stories and acceptance criteria
• Prioritization and roadmap planning with AI support
• Leveraging AI for stakeholder communication and documentation
• Using AI tools to improve productivity in product discovery and delivery
• Exploring real-world AI tools that Product Managers can use in their daily workflows
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• Align product strategies with business plans, ensuring coherence and synergy between the product roadmap and organizational objectives.
• Develop SMART goals aligning enterprise objectives with product-specific goals for effectiveness.
• Explore growth strategies, identifying critical success factors and KPIs to monitor and enhance product and brand performance.
• Sharpening product strategy by leveraging AI capabilites
• Application of AI in acheivng execution excellence

• Understand the role and importance of product roadmaps in driving strategy and alignment.
• Explore different types of roadmaps—timeline-based, release-based, Kanban-based, and outcome-based.
• Learn how to manage backlog, apply prioritisation techniques, and iterate effectively.
• Apply AI and modern tools to enhance product prioritisation and roadmapping decisions.

• Distinguish between online and offline business models, analyzing their structures, advantages, and limitations within the same product category.
• Acquire methods for market segmentation, consumer targeting, and strategic product positioning for maximum market impact.
• Explore diverse pricing strategies across different business models and learn to assess financial statements for effective pricing decisions.
   

• Comprehend how design thinking enhances creativity, empathy, and problem-solving in product management.
• Compare design thinking with traditional approaches, highlighting its strengths in user-centered approach for development.
• Harness design thinking for innovative product and service creation in breakout sessions with design thinking exercises

• Differentiate between insights and data while fostering empathy and user-centricity in product decisions.
• Compare qualitative and quantitative research methods, including ethnographic research and user interviews.
• Design and analyze surveys, questionnaires, and secondary data sources to convert findings into actionable insights.
• Leverage AI tools to capture user insights and conduct effective market research.

• Understand the goals and key elements of UX design, its importance, and its role in product management.
• Learn core UX principles such as usability, accessibility, and user satisfaction, and compare human-centered vs. technology-centered design.
• Apply UX principles to a real-world product challenge through an interactive breakout session.
• Explore how AI and modern tools can enhance UX design processes and outcomes.

• Explain the key stages of new product development (NPD) and align them with organizational goals and market needs.
• Identify and apply best practices for product launches, from concept validation to post-launch optimization.
• Define and track key product metrics to measure adoption, customer satisfaction, and business impact.
• Evaluate product performance against planned outcomes and apply strategies to achieve product–market fit.
• Learn from best practices and case examples across NPD stages.

• Grasp key principles of wireframing and prototyping principles
• Wireframing vs. prototyping: When and why to use each Tools and software for wireframing and prototyping 
• Introduction to wireframe elements (e.g., navigation, content layout)
• Wireframing best practices and common mistakes. 
• Hands-on wireframing exercises Wireframing for web vs. mobile application

• Differentiate between platforms and products, understanding key similarities and differences.
• Explore platform architecture, technology stacks, and best practices in API design and management.
• Analyze monetization strategies for platforms, studying revenue streams, growth opportunities, and case studies of successes and failures.
• Identify and apply best practices for product launches, from concept validation to post-launch optimization.

• Develop a product lifecycle management (PLM) strategy by addressing challenges in each product lifecycle stage.
• Introduction to artificial intelligence (AI) and machine learning (ML) and their applications in product management 
• AI in personalisation,consumer insighting, trend analysis, consumer behvaiour analysis, predictive analysis, inventory planning content recommendations etc.

• Master Balsamiq for wireframes and high-fidelity prototypes in product design.
• Gain expertise in Jira for Agile project management, facilitating team collaboration and project tracking.
• Understand Google Analytics for web analytics, acquisition, engagement, monetization, retention, and real-time insights.
• Utilize Mixpanel for insights, funnel analysis, flow reports, retention, and KPI trend analysis, supporting data-driven decisions.
   

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• Building technology products from scratch using Replit AI
• Creating custom GPTs using ChatGPT
• Developing AI applications using Google AI Studio
• Rapid prototyping and experimentation using AI coding assistants
• Creating games and interactive applications using Replit AI
• End-to-end exposure to converting an idea into a working AI-powered product
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This product management capstone project will give you an opportunity to implement the skills you learned throughout this program to solve real-world industry-relevant problems. 

• Research & analyze markets, user needs, and competition.
• Align products with company vision strategically.
• Define metrics, validate solutions, and track progress.
• Innovate user-centric solutions and foresee market trends.
• Solve problems and make data-driven decisions.
• Communicate effectively to diverse stakeholders.
   

• Grasp neuroscience and psychology's impact on marketing.
• Understand how the brain processes marketing stimuli involving perception, attention, memory, and emotional responses.
• Explore limbic system-controlled emotions and amygdala impact alongside neurometrics measuring brain responses in marketing.
   

• What is the difference between product failures and brand failures (and Failure of enterprises)
• Case studies of product/brand/enterprise failures
• Learning from the failures and application of good practices to avoid the failures

• Analysing the sales data
• Understanding the value of right product-mix
• Basic Financials for analysing the product contribution and driving the product growth
• Understanding of Unit economics, Gross Profits, DIOH and DSOs