The School Of
Product Management
Product management offers valuable skills in strategic planning, market research, customer-centricity, and cross-functional collaboration, empowering individuals to lead the development and success of products or services in diverse industries. By gaining expertise in product management, you can drive innovation and contribute to the growth and profitability of businesses.
Learning Paths by Job Title
An AI product manager is responsible for overseeing the development and management of AI-powered products, including defining product vision, prioritizing features, and collaborating with cross-functional teams to ensure successful implementation and delivery.
Steps To Become An AI Product Manager
Step 1
Skills Covered
Product design sprints, Product prototyping, Product launch, Product scaling, Project evaluation, Solution sketching, Problem validation, Product management basics, Product proposals, Stakeholder management, Product roadmaps, End-user documentation, Feedback loops, A/B testing, Project risk mitigation, Competitive analysis, Stakeholder identification, Decision matrix method, Product validation, User research planning, Evangelization, Press releases, Thinking hats, Crazy 8s, Product success metrics, Product design principles, User interviews, Iterative product design, Technical feasibility evaluation, Affinity mapping, Product storyboarding, Product KPIs, High fidelity prototypes, How might we method, Business model canvasses, Requirements gathering, Return on investment, User personas, Active listening, Professional presentations, Product development cycle, Storytelling, Product requirements documents, Total addressable market, Minimal viable products, Mixed methods market research, Product marketing, Product pricing strategy, Negotiation, Project management frameworks, Prioritization, Cross-functional collaboration, Functional testing, Real-world Testing, Persuasion
Learn MoreStep 2
Skills Covered
Model bias analysis, Conversational AI, Data limitations and biases, NLP proficiency, Model performance metrics, Model bias mitigation, NLP business context, GenAI Strategy, Product roadmaps, Dataset annotation, Rice framework, Computer vision business context, Stakeholder management, Types of ML applications, Recommendation engine fluency, AI business context, Recommendation engine business context, AI fluency, Machine learning use cases, Time-Series Forecasting Basics, GenAI Use Cases, Time-Series Forecasting Business Context:
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Product Management Across Industries
Consumer Goods
- Product management plays a crucial role in the consumer goods industry, which includes companies manufacturing and distributing everyday consumer products.
- Product managers in this industry work on developing, launching, and managing product portfolios, conducting market research, and driving product innovation to meet consumer preferences.
Automotive
- The automotive industry utilizes product management to oversee the development of vehicles, automotive software, and connected car technologies.
- Product managers in this industry focus on features, safety, user experience, and technology integration to meet consumer demands and enhance the driving experience.
Technology
- Technology companies, including software development firms, hardware manufacturers, and tech startups, rely on product management to oversee the development and launch of innovative products, manage product roadmaps, and align them with customer needs and market trends.
- Product management plays a crucial role in the future development of technology and software.
Media and Entertainment
- The media and entertainment industry relies on product management to develop and manage digital media platforms, streaming services, content management systems, and interactive experiences.
- Product managers collaborate with content creators, designers, and developers to deliver engaging and personalized experiences to users.
Programs Co-created With Product Management Leaders.
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