
Program
Product Owner (Jira)
Own the backlog, prioritize ruthlessly, ship what matters
Learn to write user stories, manage a Jira backlog, and prioritize work the way product teams actually do.
8
Weeks
40
Chapters
4
Practice formats
1
Portfolio artifact
8 weeks — one module per week (8 modules, 40 chapters), each week ending with a live class every Saturday, plus a module exam before the next module opens.
Curriculum
40 chapters across 8 modules — each with guided notes, a live example, a quiz, an exercise, a challenge, and class practice.
Module 1 · PRODUCT OWNERSHIP FOUNDATIONS
- 1Introduction to Product OwnershipWhat a Product Owner does, how the role differs from product and project managers, maximizing value, and the skills the role needs.Learn →
- 2Product Vision, Goals & StrategyWriting a product vision, the product goal, strategy and the vision board, OKRs, and choosing a north star metric.Learn →
- 3Understanding Users & ProblemsPersonas, jobs to be done, customer interviews, synthesizing findings, and writing problem statements before solutions.Learn →
- 4Scrum for Product OwnersThe Scrum framework, the PO's part in each event, artifacts and commitments, the Definition of Done, and team capacity.Learn →
- 5Beyond Scrum: Kanban, Scaling Frameworks & Choosing a Way of WorkingAgile values in practice, Kanban flow and WIP limits, Scrumban, scaling frameworks (SAFe, LeSS, Nexus) at a glance, and how the PO role changes with each.Learn →
Module 2 · BACKLOG, STORIES & PRIORITIES
- 6Writing User Stories & Acceptance CriteriaThe user story format, the INVEST criteria, acceptance criteria in Given/When/Then form, epics, and splitting stories.Learn →
- 7Story Mapping, MVPs & Release PlanningBuilding a user story map, finding the minimum viable product, slicing releases, and planning what goes into the first release.Learn →
- 8Backlog Refinement & EstimationRefining the backlog, the Definition of Ready, story points, planning poker, reaching consensus, and handling uncertainty.Learn →
- 9Prioritization FrameworksMoSCoW, value vs effort, RICE, WSJF and cost of delay, Kano, and defending priorities with data instead of gut feel.Learn →
- 10Splitting Epics & StoriesWhy small stories matter, INVEST, vertical slicing, nine common splitting patterns, spikes, and keeping the big picture with epics and themes.Learn →
Module 3 · DELIVERING WITH THE TEAM
- 11Working in Jira & ConfluenceJira projects, issue types and hierarchy, boards and workflows, sprints, JQL filters, dashboards, and documenting in Confluence.Learn →
- 12Sprint Planning, Review & ForecastingRunning sprint planning with a clear sprint goal, forecasting with velocity ranges, running an effective sprint review, and adapting the backlog.Learn →
- 13Metrics, Burndown & ExperimentsDelivery metrics (burndown, velocity, cycle time), product metrics (activation, retention, conversion), and running A/B tests.Learn →
- 14Roadmaps & Stakeholder ManagementOutcome-based roadmaps (now/next/later), identifying and engaging stakeholders, saying no, and communicating progress.Learn →
- 15Release Management & Product LaunchRelease vs. deployment, feature flags and staged rollouts, release notes, go/no-go criteria, launch checklists, and measuring a launch.Learn →
Module 4 · PRODUCT DISCOVERY
- 16Customer Interviews for Problem DiscoveryPlanning interviews, recruiting the right people, asking about past behaviour (not opinions), avoiding leading questions, and synthesising notes into insights.Learn →
- 17Jobs to Be DoneUnderstanding the progress customers want to make, functional, emotional and social jobs, job stories, switching forces, and using JTBD to find opportunities.Learn →
- 18Opportunity Solution TreesConnecting an outcome to customer opportunities, candidate solutions and experiments; choosing where to focus; and keeping discovery visible to stakeholders.Learn →
- 19Prototyping & Usability TestingChoosing prototype fidelity, testing with five users, writing tasks, observing without helping, measuring task success, and turning findings into changes.Learn →
- 20Assumption Mapping & Validation ExperimentsIdentifying desirability, viability, feasibility and usability assumptions; prioritising the riskiest; designing cheap experiments; and setting success criteria in advance.Learn →
Module 5 · PRODUCT METRICS & ANALYTICS
- 21North Star Metric & Product KPIsChoosing a North Star metric that captures customer value, input metrics that drive it, guardrail metrics, and avoiding vanity metrics.Learn →
- 22Funnels & ConversionMapping user journeys as funnels, step and overall conversion, finding the biggest drop-off, segmenting funnels, and prioritising improvements.Learn →
- 23Cohorts & RetentionWhy retention matters most, cohort tables, retention curves, activation moments, churn, and diagnosing retention problems.Learn →
- 24A/B Testing in DepthDesigning controlled experiments, hypotheses and primary metrics, sample size and duration, lift, statistical significance in plain terms, and common pitfalls.Learn →
- 25Product Analytics Tools & Tracking PlansEvent-based analytics, writing a tracking plan, naming conventions, user properties, privacy and consent, and tools such as Amplitude, Mixpanel, GA4 and Power BI.Learn →
Module 6 · PRODUCT STRATEGY & BUSINESS
- 26Market & Competitive AnalysisSizing a market (TAM, SAM, SOM), segmenting customers, mapping competitors and alternatives, positioning, and turning analysis into product decisions.Learn →
- 27Business Models & PricingCommon software business models, value-based pricing, tiers and packaging, unit economics (CAC, LTV, payback), and how pricing affects the backlog.Learn →
- 28OKRs for Product TeamsObjectives and key results, outcome-based key results, connecting OKRs to the roadmap and backlog, scoring, and common mistakes.Learn →
- 29Product-Led GrowthUsing the product itself to acquire, activate and retain customers: free trials and freemium, onboarding, viral loops, product-qualified leads, and growth experiments.Learn →
- 30Making the Business CaseWriting a concise business case: problem, options, costs, benefits, ROI, risks and recommendation — and presenting it to decision-makers.Learn →
Module 7 · SCALING & COLLABORATION
- 31Working with UX & EngineeringThe product trio, collaborating early with designers and engineers, design hand-off, shared definitions of ready and done, and resolving disagreements.Learn →
- 32Technical Debt & Non-Functional RequirementsWhat technical debt is, how it slows delivery, making it visible, balancing debt with features, and non-functional requirements like performance, security and accessibility.Learn →
- 33Product Ownership Across Multiple TeamsOne product, many teams: backlog structures, area product owners, shared goals, PI or quarterly planning, and keeping integration and quality high.Learn →
- 34Managing Dependencies & RisksIdentifying cross-team and external dependencies, visualising them on a program board, reducing them, tracking risks, and escalating early.Learn →
- 35Remote & Asynchronous CollaborationRunning product work across locations and time zones: written communication, async decision-making, effective remote ceremonies, tools, and team health.Learn →
Module 8 · PRODUCT CAREER & CAPSTONE
- 36Product Owner Certifications (PSPO, CSPO & More)Scrum.org PSPO and Scrum Alliance CSPO, product management certifications, how to prepare, and how to present certifications alongside real experience.Learn →
- 37Building Your Product PortfolioTurning your work into case studies: problem, research, decisions, outcomes and reflection; formats; using public or sample products; and presenting your portfolio.Learn →
- 38PO Interviews & Case ExercisesCommon PO interview questions, product sense and prioritisation exercises, backlog and stakeholder scenarios, and a structured way to answer.Learn →
- 39AI for Product OwnersUsing AI assistants for research synthesis, story drafting and analysis responsibly, plus owning AI-powered features: data, evaluation, risks and responsible AI.Learn →
- 40Capstone: A Groomed Product BacklogBuild a fully groomed Jira backlog for a sample product — vision, story map, prioritized and estimated stories, and a ready first sprint.Learn →
Delivery
Blended — self-paced lessons plus live backlog reviews
Portfolio outcome
A fully groomed Jira backlog with prioritized, estimated user stories for a sample product.
Certificate
Certificate of completion, verifiable online with its credential code.
By the end of this program, you'll be job-ready to…
- Write clear, testable user stories with acceptance criteria
- Prioritize a backlog using a defensible framework, not gut feel
- Run a sprint planning session that a real team could follow
Salary expectations
Estimated U.S. national average annual salary by experience level.
$75,000
Entry-level
$105,000
Mid-level
$145,000
Senior-level
Estimated figures for planning purposes — actual pay varies by location, employer, and experience.
Tools you'll master
Practical training, every chapter
- A live "try it yourself" example in every chapter you can run immediately
- A hands-on exercise per chapter, with hints and a reveal-able answer
- An open-ended challenge per chapter, graded against real success criteria
- Class practice prompts for pairs or cohorts, not just solo homework
Why take this program
Interview- and job-ready
Built to the same bar Aicloud actually hires against — not a generic syllabus.
Tier 1 company partners
Program partnerships with leading employers are in progress — see Affiliation for status.
Job connection access
Graduates get access to Aicloud's own hiring pipeline and employer referral network.
Professional networking
Cohort discussion boards and live sessions connect you with peers and mentors, not just content.
A real portfolio
You leave with a concrete, explainable artifact — proof of knowledge, not just a certificate.