
Explore agile foundations, scrum roles, and practical tools to lead projects with confidence, leveraging ai to speed work, design roadmaps and backlogs, write user stories, and track progress.
Learn agile project management by embracing flexibility, collaboration, and delivering value early and often. Leverage transparency, teamwork, and continuous improvement to lead adaptive projects with confidence.
Agile provides the big picture of principles and values, emphasizing short cycles and value focus, while Scrum offers specific roles, events, and tools to implement those principles.
Explore how agile functions as a mindset of adaptability and collaboration, delivering small, meaningful results while embracing the agile manifesto's values and guiding principles.
Adopt agile project management to deliver value in short iterations with early stakeholder feedback, adapting to changing needs, technologies, and markets.
traditional project management is predictive and plan driven, defining scope, schedule, and cost upfront for definable work; agile management embraces uncertainty through iterations, delivering incremental value and a flexible backlog.
Apply agile by integrating the mindset and the 12 principles with daily practices like standups, sprints, and retrospectives. Understand how principles guide behavior, not just rituals, to deliver value.
Apply the Agile Manifesto's 12 guiding principles to daily work. Guide behaviors, decisions, and collaboration to deliver the customer value through early and continuous delivery of valuable solutions.
Agile delivers real benefits by emphasizing adaptability, collaboration, and frequent delivery of value, enabling early usable results for customers and stakeholders while helping organizations stay competitive.
Evaluate whether agile fits your project using suitability filters that assess uncertainty, complexity, and change, guiding tailoring of agile, predictive, or hybrid approaches.
Choose the right life cycle by understanding predictive, iterative, incremental, and agile approaches. Agile lifecycles suit high uncertainty, while predictive emphasizes upfront planning and formal change control.
Explore how agile principles extend beyond software to healthcare, education, marketing, and more, emphasizing adaptability, collaboration, and rapid, value-delivering feedback.
Explore project life cycle options (predictive: waterfall, iterative, incremental, agile, and hybrid) and learn to select a fit for the project and organization using AI tools to analyze scenarios.
Scrum applies agile principles through a lightweight framework that delivers value quickly in short sprints while teams learn, adapt, and collaborate guided by commitment, focus, openness, respect, and courage.
Explore the scrum framework's three roles, five events, and three artifacts, and how they enable sprint planning, daily scrums, reviews, and retrospectives to deliver value.
Apply empirical process control by making decisions from observation and evidence in uncertain projects. Use transparency, inspection, and adaptation with backlog artifacts to deliver value.
Implement scrum to deliver in cycles, gain feedback, and deliver value with transparency and adaptability. Recognize limitations like cross functional team requirements, leadership buy in, and suitable environments.
Agile project management centers the customer, balancing value, quality, and the flexible constraints of scope, schedule, and cost to deliver meaningful features early.
Agile embodies collaboration, customer value, and adaptability, with scrum as a practical framework; PMI's Agile Practice Guide and the Sboc connect agile with professional project management.
Learn the scrum flow from idea to release, mapping roles, events, and artifacts such as product backlog and increment, and how inspection, adaptation, and empirical process control drive sprint value.
Learn how vision, roles, and backlog creation set the foundation for a scrum project and guide future sprints. Understand who does what in initiation and why these steps matter.
Set a clear sprint goal by linking the product backlog to a sprint backlog, using capacity, velocity, and collaboration to avoid overcommitment.
Explore the daily scrum, a 15-minute, time-boxed, developer-led event that synchronizes progress toward the sprint goal, enhances alignment and transparency, and adapts the plan for the next day.
Master sprint execution through self-organizing, cross-functional teams that collaborate daily, visualize progress with scrum boards and dashboards, maintain a transparent, sustainable pace, and remove impediments.
Backlog refinement clarifies items, splits epics into smaller stories, estimates effort, and keeps the backlog prioritized and ready for sprint planning through collaborative, ongoing refinement led by the product owner.
Inspect the increment, adapt the product backlog, and demonstrate value to stakeholders in a collaborative sprint review that involves the whole team, time-boxed to four hours.
The sprint retrospective empowers the scrum team to inspect their process, identify improvements, and commit to concrete actions for the next sprint, fostering trust, psychological safety, and continuous improvement.
Learn how scrum teams release increments and deliver value through flexible release strategies chosen by the product owner. See how potentially shippable increments, continuous delivery, and frequent releases reduce risk.
Demonstrate the complete scrum loop from idea to release for Pulse CRM, including backlog, sprint planning, daily scrums, reviews, retrospectives, and a lean, measurable vision, and a definition of done.
Use ai and chatgpt to support scrum with three prompts for sprint planning, execution, and review, prioritizing backlog items, setting sprint goals, and capturing stakeholder feedback to deliver the increment.
Define and maintain a customer-centered product vision that guides agile teams, aligns stakeholders, and fuels focused decisions toward real user value.
Craft a clear, memorable product vision that centers on why and customer outcomes. Learn practical tips, collaborative refinement, and testing to keep the vision aspirational yet grounded.
Use the elevator statement, a four-part template targeting the customer, need, product solution, and key benefit to distill vision, align teams, and onboard newcomers quickly.
Treat the product vision as a living artifact and refine it regularly within agile and scrum. Use stakeholder workshops, customer feedback, and roadmaps to stay aligned with market shifts.
Translate the product vision into a practical backlog by breaking it into epics, features, and user stories, and let the product owner guide value delivery and align with stakeholders.
Bridge vision to execution with a product roadmap that links backlog to releases in now/next/later and quarterly formats, emphasizing communication and flexibility.
Use the product roadmap as a communication tool to align stakeholders and secure buy-in. Provide transparent timeframes and a shared story that builds trust and guides decisions.
Explore how ai prompts boost product visioning and roadmapping, from crafting concise elevator statements to translating roadmaps into plain language for executives and customers.
Agile product architecture treats emergent design as evolving, just-enough structure that delivers value, guides development, and reflects shared responsibility through collaboration among developers, product owners, and testers.
Capture a concise, one-page product datasheet that defines the product, its target audience, and its value proposition for agile teams as a living document that supports alignment among stakeholders.
Develop precise, living product specifications detailing technical requirements, performance criteria, and design constraints to guide engineers and manufacturers in agile projects.
discover how a feature breakdown structure organizes a product's capabilities hierarchically from vision to backlog, aligning features with customer value and enabling agile planning, backlog creation, and iterative delivery.
Use ai to accelerate agile product architecture by generating draft architectures, data sheets, and feature breakdowns from your product vision and constraints, guiding context to reveal architecture options and trade-offs.
Prioritize and continually refine a living product backlog—epics to user stories—that evolves with ideas and customer feedback to maximize value.
Explore backlog prioritization with the Moscow method and weighted shortest job, balancing must have items and cost of delay against effort for value-driven releases.
Use a backlog hierarchy of capabilities, epics, features, and user stories to connect business goals with sprint work and ensure every item delivers value.
Write user stories that focus on customer value and why, using the invest model to ensure independence, negotiability, value, estimability, small size, and testability through backlog refinement.
Develop teams self-organize to own user stories, break them into tasks, and swarm to deliver value, using sprint planning and a visible board to track daily progress.
Discover how user stories capture user intent and how acceptance criteria turn them into testable, measurable conditions that guide development and validation with given-when-then scenarios.
Epics and themes organize large backlog items across sprints, while non-functional requirements specify security, reliability, and performance, balancing value, scope, and product quality.
Explore how backlog items form a hierarchy from a big idea to deliverable work, linking vision to user value through epics, themes, capabilities, features, user stories, and tasks.
Enhance backlog health through continuous refinement with workshops, story splitting, and story mapping that clarify, prioritize, and deliver valuable, testable user stories aligned with business goals.
Define ready and define done establish guardrails for when to start and finish work. They ensure quality and deliver a potentially shippable increment.
Leverage artificial intelligence to support backlog management, prioritization, and user-story development using targeted prompts. Convert ideas into actionable work with acceptance criteria, story splitting, and given when then test formats.
Navigate agile planning horizons from portfolio to daily scrum, linking portfolio, product, release, and sprint planning to align strategy with flexible, adaptive execution.
Balance predictive and adaptive planning to reduce risk and respond to change while preserving direction. Learn how roadmaps, backlog refinement, and sprint goals align with stakeholder feedback for value delivery.
Design and run release planning to connect strategy to delivery, define goals and readiness, and forecast release windows using velocity, capacity, and backlog inputs.
Sprint planning aligns capacity and velocity with prioritized backlog to create a realistic sprint goal and committed sprint backlog, guiding delivery and teamwork.
Leverage ai for release and sprint planning to draft release plans from backlog and forecast velocity across multiple releases. Identify risks and dependencies and break stories into sprint-ready tasks.
Develop expertise in relative estimation and story points to compare work size, reduce bias, and manage uncertainty in agile projects. Use reference stories and velocity for planning and forecasting.
Plan and estimate backlog items collaboratively with planning poker and other estimation games to reach consensus on story points, using relative sizing to prevent bias and boost participation.
Forecasting with velocity explains how agile teams estimate future delivery by summing completed story points per sprint, using historical averages to plan releases and set stakeholder expectations.
Use agile charts and scorecards to visualize sprint progress, flow, and value, including burndown, burn up, CFDs, and story points, guiding adaptation and stakeholder alignment.
Learn to use agile estimation as a forecast for planning and prioritization, avoiding pitfalls such as treating estimates as promises and converting story points to hours.
Learn how AI acts as a facilitator for agile estimation, offering data-driven forecasts, range simulations, and templates to speed planning while preserving human judgment.
Story points provide relative sizing and easier forecasting in agile estimation, while hours encourage false precision; coach by gradually introducing points and communicating value to improve predictability.
Collaborate to turn sprint backlog items into working increments, using swarming and self-organizing teams to meet the sprint goal with a shippable product.
Conduct a daily scrum to synchronize the team toward the sprint goal, identify impediments, and adapt plans. Visualize work with task boards to increase transparency, accountability, and collaboration.
Gain visibility into sprint and project progress using burndown, burnup, and cumulative flow diagrams to track remaining work, completed scope, and workflow bottlenecks for better agile decisions.
Manage change during sprints by anchoring decisions to the sprint goal, deferring nonurgent changes to the backlog, and balancing agility with focus through product owner collaboration.
Identify and remove impediments to keep sprint goals on track, empower the team through transparency and collaboration, and leverage the Scrum Master’s support for continuous improvement.
Leverage AI to generate burndown and burnup charts during sprint execution, instantly visualize progress toward the sprint goal, and explain differences to accelerate decision making.
“This course contains the use of artificial intelligence.”
Are you ready to lead projects with confidence, adapt to change, and deliver real value?
This course is your complete guide to mastering Agile Project Management and Scrum — with the added power of AI tools to boost your productivity.
Agile has become the gold standard for managing projects in today’s fast-moving world. Scrum, the most popular Agile framework, is used by companies worldwide to deliver results faster and smarter. Whether you want to step into a new Scrum Master role, grow your career, or simply run projects more effectively, this course gives you the tools and confidence you need.
What You’ll Learn
The foundations of Agile: values, principles, and why traditional projects often fail.
Scrum explained: roles, events, and artifacts made simple.
How to create a product vision, build a roadmap, and manage a backlog.
Planning and estimating with story points, velocity, and Agile charts.
Monitoring progress with burndown, burnup, and flow diagrams.
Risk management, Agile quality practices, and value-driven delivery.
Scaling Agile for larger teams and organizations.
How AI can help you with documentation, planning, estimation, and reporting.
Why This Course Is Different
This is not a dry exam-prep course. It’s practical, engaging, and designed for real-world success. You’ll get:
Quizzes to check your understanding.
Assignments to apply what you learn immediately.
Roleplays powered by AI to practice handling real-life project situations.
A Capstone Project where you walk step by step through a real Agile project.
Who This Course Is For
New and aspiring project managers who want to learn Agile from the ground up.
Professionals looking to become Scrum Masters or grow into leadership roles.
Teams and leaders who want to deliver projects faster, with less waste and more value.
Anyone preparing for PMI or Scrum exams who wants true understanding, not just memorization.
Your Next Step
By the end of this course, you’ll know how to start, plan, and run Agile projects with confidence. You’ll be ready to lead teams, deliver value, and stand out in the job market.
If you haven’t signed up yet — now is the time. Join today and take your first step toward becoming an Agile professional who can adapt, deliver, and succeed.