IIT Delhi - IIT Delhi Executive Programme in Advanced Product Management 

offered by TimesPro

Product, Service, Platform – layers of product, what is a product,Difference between product, service and platform Minimum Viable Product (MVP), Product Lines & Product Portfolio, Defining Product Vision and Mission, Creating a Product Roadmap,

Product Strategy –  Product Mix, Marketing Mix, Marketing Plan and Marketing Strategy, B2B vs. B2C strategy for products, services and platforms, Competitive Analysis and Benchmarking

New Product Development –  Stage gate process, Hardware vs. Digital product development, Do’s and Don’ts of NPD process, Cross-functional team collaboration, Lean and Agile methods, Product Development Lifecycle, Non digital Products development

UI/UX for PM –  Product specifications and features , Visual Design Elements

UI/UX for PM –  User experience (UX/UI) design, Introduction to Software Tools

UI/UX for PM –  A/B testing, Feedback Loop, Prototype development for Digital Products

Design Thinking –  for products, services and platforms

Design of Non Digital Products

Functional Testing: Ensuring the product performs as intended, Non-Functional Testing: Assessing performance, usability, and reliability, User Acceptance Testing (UAT): Testing by end-users to ensure it meets their needs, Regression Testing: Verifying that new changes haven’t adversely affected existing features,
Stress and Load Testing: Evaluating product performance under extreme conditions

Overview of popular testing tools (e.g., Selenium, JIRA, TestRail), Use of version control and integration tools in testing, Emerging technologies in testing like AI and machine learning, Successful product validation and testing strategies, Documentation for compliance for audits and certifications

Definition and stages of the product lifecycle: Introduction, Growth, Maturity, and Decline, Importance of understanding the product lifecycle for strategic planning, Relationship between product lifecycle and product line management, Product Line Decisions – Line stretching, Line Pruning, Line Filling, Upward, Downward and Two-way decision strategies
Managing Product Lifecycle, Life cycle of digital and nondigital products

Phases of Product Engineering – Product Ideation, Product Architecture, Product Migration and Porting, Technical support

Product Launch Steps and Timing – Product Launch process, Marketing Do’s and Don’ts, STP strategies, Target Marketing, Go to Market Strategy, Analytics based decision making

Data Science Analytics for Product Decision Making, Marketing Analytics, Identifying high-value customer segments, Predictive modelling for customer behaviour and preferences, Competitive pricing analysis using market data, Revenue optimization through pricing experiments and A/B testing, Predicting product success and market demand with data models, Key concepts: Big Data, Machine Learning, Predictive Analytics, and AI

Product Monetization Frameworks and Strategies – Acquisition and Retention strategies, Action plan for sustained growth

Product Monetization Frameworks and Strategies – Monetizing current and potential users, Revenue Models and Pricing Strategies, Evaluating and Optimizing Revenue Streams