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Welcome and Course Overview

Course Introduction and Expectations

How to Navigate the Course

Foundations of Product Management in Software

What Is Product Management?

The Software Development Life Cycle (SDLC) for Product Managers

A Day in the Life of a Product Manager

Discovery and Strategy

Understanding Customers and Problems

Product Vision, Strategy, and Goals

Prioritization and Roadmapping Basics

Planning and Delivery

From Problem to Requirements

Working With Engineering, Design, and Data

Launch, Measure, and Iterate

Assess Your Learning

Quiz 1: PM Foundations and SDLC

Quiz 2: Discovery and Customer Understanding

Quiz 3: Strategy and Prioritization

Quiz 4: Planning and Requirements

Quiz 5: Launch, Metrics, and Iteration

Course Feedback Survey

Product Management Foundations for the Software Development Lifecycle is a practical, beginner-friendly course that shows you exactly how Product Managers create customer value throughout the SDLC. From discovery to delivery and iteration, you’ll learn how to connect user problems to business outcomes and translate insights into shippable software. We’ll demystify the PM role versus project, program, design, data, and engineering responsibilities, and give you a clear picture of a PM’s day-to-day—interviews, backlog grooming, standups, stakeholder syncs, and reviews. You’ll practice building core artifacts like a product vision, outcome-driven roadmap, user stories with acceptance criteria, and release notes. Then you’ll learn how to instrument your product, run lightweight experiments, and use metrics to drive iteration. By the end, you’ll confidently partner with cross-functional teams, prioritize with methods like RICE and MoSCoW, and manage trade-offs using evidence, not opinions. If you’re looking to step into product management or formalize on-the-job experience, this course gives you the frameworks, tools, and habits to succeed in modern Agile environments.

Product Management Foundations for the Software Development Lifecycle

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            <p>Product Management Foundations for the Software Development Lifecycle equips you with the essential mindset, methods, and artifacts used to build software products that deliver measurable customer value and business impact. Rooted in real-world practice, the course connects every concept to the SDLC—showing how discovery, planning, delivery, and iteration come together in a Product Manager’s daily work. You will learn how to define products and value, distinguish PM responsibilities from project, program, and engineering roles, and focus on outcomes such as customer satisfaction, product quality, and strategic results.</p>

<p>We begin by clarifying the course structure and expectations, including how to navigate modules, suggested pacing, and guidance for quizzes and the final survey. From there, you’ll establish core foundations: what product management is, how common SDLC models (Agile, Scrum, Kanban, Lean) shape your responsibilities, and which artifacts—vision, roadmap, backlog, user stories, acceptance criteria, and release notes—anchor your practice. You will experience a “day in the life” of a PM, balancing customer needs, business goals, and technical constraints through decision frameworks and time management techniques.</p>

<p>In discovery and strategy, you’ll define target users and personas, frame problems with evidence from interviews, surveys, telemetry, and support data, and craft a compelling vision tied to company strategy. You’ll translate strategy into outcome-focused goals and a prioritized, theme-based roadmap using methods like RICE and MoSCoW, while communicating trade-offs and aligning stakeholders. In planning and delivery, you’ll turn insights into clear requirements with testable acceptance criteria, account for non-functional needs such as performance, security, and accessibility, and apply Definition of Ready/Done. You’ll practice partnering with engineering, design, and data through cross-functional rituals, co-discovery techniques, and risk/technical debt management. Finally, you’ll plan releases, instrument analytics, run experiments, and learn to interpret results to iterate confidently. Knowledge checks throughout the course reinforce your learning, culminating in a survey to help you reflect and improve your practice.</p>
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