
(645)
50 hours
Beginner

The School Of
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.

Chart your path to a $200k+ career in tech

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

(645)
50 hours
Beginner
Step 1

(645)
50 hours
Beginner
Skills Covered
Product design sprints, 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, 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, Product launch, Project management frameworks, Prioritization, Cross-functional collaboration, Functional testing, Real-world Testing, Persuasion, Product prototyping, User personas
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(346)
18 hours
Intermediate
Step 2

(346)
18 hours
Intermediate
Skills Covered
Model bias analysis, Conversational AI, Data limitations and biases, NLP proficiency, Model performance metrics, Model bias mitigation, NLP business context, GenAI Strategy, Dataset annotation, Rice framework, Computer vision business context, Stakeholder management, Product roadmaps, Linear regression, Types of ML applications, Recommendation engine fluency, AI fluency, Machine learning use cases, AI business context, Recommendation engine business context, Time-Series Forecasting Basics, GenAI Use Cases, Time-Series Forecasting Business Context:
Learn MoreA data product manager is responsible for driving the development, strategy, and execution of data-driven products, overseeing data pipelines, analytics tools, and ensuring data-driven decision-making within the organization.
Steps To Become A Data Product Manager

(645)
50 hours
Beginner
Step 1

(645)
50 hours
Beginner
Skills Covered
Product design sprints, 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, 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, Product launch, Project management frameworks, Prioritization, Cross-functional collaboration, Functional testing, Real-world Testing, Persuasion, Product prototyping, User personas
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(195)
55 hours
Intermediate
Step 2

(195)
55 hours
Intermediate
Skills Covered
Product KPIs, Cohort analysis, Data pipeline design, Relational data models, Data storytelling, Multivariate testing, Tableau visualizations, Data infrastructure basics, Data consumers, Exploratory data analysis, Experiment control, Product feature usage metrics, Experiment design, Data gathering, Quantitative data analysis, Data limitations and biases, Interpreting test results, Qualitative user research, Iterative product design, Acquisition funnels, Qualitative data analysis, Data warehouse management, Data wrangling fundamentals, Types of data, Event data models, Data producers, Big data storage, Data augmentation, Stakeholder identification, Probability distribution, Chart types, Product proposals, Data definition, Product management basics, Product goals, Database schemas, Marketing metrics, Rice framework, Feature prioritization, Behavioral market segmentation, Data privacy regulations, Stream processing, Data use-cases, Data security fundamentals, Data storage, Batch processing, SQL queries, A/B testing, Data pipelines, Feedback loops
Learn MoreA growth product manager focuses on optimizing key metrics and driving user acquisition, retention, and engagement through iterative experimentation and data-driven strategies to fuel the growth of a product or service.
Steps To Become A Growth Product Manager

(645)
50 hours
Beginner
Step 1

(645)
50 hours
Beginner
Skills Covered
Product design sprints, 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, 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, Product launch, Project management frameworks, Prioritization, Cross-functional collaboration, Functional testing, Real-world Testing, Persuasion, Product prototyping, User personas
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(44)
57 hours
Beginner
Step 2

(44)
57 hours
Beginner
Skills Covered
Product monetization metrics, Product monetization strategy, Growth loops, Target personas, Premium value, Customer acquisition cost, Product monetization tactics, Product financial metrics, Product strategy, A/B testing, Cost per acquisition, Ux design principles, Product channel strategy, Growth metrics, Lifetime value, Customer retention tactics, Cohort analysis, Ux friction, Experiment design, Conversion rate, Activation metrics, User journey maps, Ice scoring model, Customer churn rate, Audience behavior tracking, User personas, Experiment metrics, Aarrr metrics framework, Growth bottlenecks, Ansoff matrix, Product strategy business context, Project evaluation
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(645)
50 hours
Beginner

(711)
51 hours
Beginner

(195)
55 hours
Intermediate

(44)
57 hours
Beginner

(91)
56 hours
Beginner
Consumer Goods
Automotive
Technology
Media and Entertainment

19 hours

(124)
16 hours

13 hours

(23)
5 hours

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