Advanced Programme · Industry-Embedded
Advanced Product Management
Strategy · Engineering · Data · AI — one complete PM operating system. 24 weeks · 288 hours · 144 sessions · 12 modules · capstone on a live partner brief.
Duration
6 months (24 weeks) · 1.5 mo Intensive · 12 mo Part-Time
Level
Foundation → Advanced (no prerequisite)
Mode
Daily · 4 hrs/day · 6 days · 12 hrs/week
Advanced Programme · Industry-Embedded
6 months (24 weeks) · 1.5 mo Intensive · 12 mo Part-Time · Daily · 4 hrs/day · 6 days · 12 hrs/week
Learning Roadmap
Your journey, phase by phase
A structured path from fundamentals to industry-ready expert.
Weeks 1–2 · M1 · Foundation
Product & Business Analysis Foundations
- BA/PM role, stakeholder mapping, requirements gathering
- BRD writing & user stories · SWOT · PESTLE
- Product lifecycle · B2B/B2C/platform PM archetypes
- Market sizing (TAM/SAM/SOM) · Porter's Five Forces · PMF signals
- Project: Market & Competitive Landscape Report + BRD
1
Weeks 3–4 · M2 · Foundation
Customer Discovery & User Research
- Customer interviews · Jobs-to-be-Done (JTBD)
- Persona construction · sampling & recruiting
- Journey mapping · qualitative vs. quantitative methods
- Survey design · synthesising validated problem statements
- Project: Customer Discovery Report & Validated Problem Statement
2
Weeks 5–6 · M3
Product Strategy, Roadmapping & Prioritisation
- North Star Metric · OKRs · strategy frameworks
- Now-Next-Later & timeline roadmaps · stakeholder alignment
- Prioritisation with RICE, MoSCoW, Kano
- Business Model Canvas · pricing & monetisation models
- Project: Prioritised Roadmap & Business Case
3
Weeks 7–8 · M4
Software Product Architecture & Technical Requirements
- System architecture: frontend, backend, database
- Monolith vs. microservices · cloud-ready product thinking
- Technical feasibility analysis · developer-ready user stories
- Functional & non-functional requirements · API & DB mapping
- Project: Technical PRD & Architecture Brief
4
Weeks 9–10 · M5
UI/UX Engineering for Web & Mobile Products
- Frontend architecture basics · HTML/CSS/JS constraints for PMs
- Wireframing & prototyping in Figma · Bootstrap · Material UI
- Responsive design · accessibility standards
- UI testing with Chrome DevTools & Lighthouse · design sprints
- Project: Clickable Prototype & Usability + UI Test Report
5
Weeks 11–12 · M6
Agile Execution, SDLC & QA Engineering
- SDLC models · Scrum & Kanban in Jira
- Sprint & release planning · backlog grooming · acceptance criteria
- Git workflow · API integration flow
- Unit, integration & UAT testing · bug tracking & severity
- Project: Sprint-Ready Backlog & Release Plan in Jira
6
Weeks 13–14 · M7
Python for Product Data & Metrics
- Python for product analysis · Pandas & NumPy
- Data cleaning & analysis fundamentals
- SQL integration with Python · feature-usage metrics
- Visualisation with Matplotlib / Seaborn
- Project: Product Metrics Notebook
7
Weeks 15–16 · M8
Data Analytics, Product Intelligence & Dashboards
- KPI engineering & event tracking · data pipelines (conceptual)
- Google Analytics — funnels, cohorts, user behaviour
- A/B testing logic · AARRR & growth loops
- Executive dashboards in Power BI (Tableau overview)
- Project: Executive KPI Dashboard & Growth Experiment Plan
8
Weeks 17–18 · M9
AI-Enabled Product Development
- AI system architecture · ML lifecycle at product level
- Model training vs. inference · cost & latency implications
- Applied AI with Python · chatbot & recommender overviews
- AI limitations, bias & responsible-AI checkpoints
- Project: AI Feature Spec (PRD) & Working Python Demo
9
Weeks 19–20 · M10
Security, Performance & Scalability
- Security basics · authentication & authorisation for PMs
- SQL injection & common vulnerabilities in specs
- Performance bottlenecks · scaling web & AI products
- Monitoring & logging expectations with engineering
- Project: Product Hardening Checklist & Scale Plan
10
Weeks 21–22 · M11
Go-To-Market & Stakeholder Leadership
- GTM strategy · positioning & messaging · launch sequencing
- Stakeholder mapping · influence without authority
- Leadership pitching · launch communications
- Post-launch feedback loops & iteration
- Project: GTM Launch Plan & Stakeholder Pitch
11
Weeks 23–24 · M12 · Capstone
End-to-End Product Development
- Partner brief intake · full-stack architecture & system design
- Technical requirements · product data analysis in Python
- AI feature integration · deployment lifecycle
- Web hosting & cloud basics · mobile launch overview
- Versioning, updates & post-launch support · portfolio demo
- Project: End-to-End Product on a Live Partner Brief
12
Tools & Tech Stack
Tools you'll master
Notion Jira Miro Figma Draw.io Google Sheets / Excel Google Slides / PowerPoint Google Forms / Typeform Git & GitHub Python 3.x Pandas / NumPy SQL Matplotlib / Seaborn Google Colab Microsoft Power BI Tableau Google Analytics Chrome DevTools / Lighthouse Bootstrap Material UI OpenAI API Anthropic API
Career Roles Mapped to Modules
Where this programme takes you
Every role below maps to specific modules — the programme is designed so you can specialise as you graduate.
Product Manager
M1–M3
Discovery, strategy, roadmapping and prioritisation end-to-end
Technical PM
M4, M5
Developer-ready PRDs with architecture, API and DB requirements
Product Designer / PM
M6
Wireframing, prototyping and usability testing in Figma
Product Owner
M7
Scrum / Kanban in Jira with sprint, release and QA workflows
Product Data Analyst
M8, M9
Python, Pandas, SQL and Power BI product analytics
AI Product Manager
M10
Scope AI/LLM features — cost, latency, bias, PRD and demo
Growth / GTM PM
M11
Go-to-market planning and leadership-panel pitching
Senior PM / Capstone Owner
M12
Ship a live partner brief from architecture to launch
What you'll be able to do
Career Outcomes
Own product discovery, strategy, roadmapping and prioritisation end-to-end
Write developer-ready technical PRDs with architecture, API & DB requirements
Wireframe, prototype and usability-test products in Figma
Run Scrum/Kanban in Jira with sprint, release and QA workflows
Analyse product data with Python, Pandas, SQL and build Power BI dashboards
Scope AI/LLM features responsibly — cost, latency, bias, PRD & demo
Ship a full go-to-market plan with a leadership-panel pitch
Deliver a capstone product on a live partner brief — architecture to launch
Target roles: Product Manager · AI Product Manager · Technical PM · Product Owner · Product Data Analyst · Growth/GTM PM
Ready to build your future?
Join the next cohort of Advanced Product Management.