From beginner to AI Product Manager.
A practical, project-based path through product foundations, core PM craft, technical collaboration, and AI product design.
8
Weeks
16
Live sessions
16
Modules
1
Capstone
Full Program
The Full-Stack PM Course
₦150,000one-time · full 8 weeks
- 8 weeks · 16 live sessions · 16 modules
- All recordings, templates & playbooks
- Cohort community & office hours
- Capstone project with mentor feedback
- Portfolio, resume & LinkedIn built in Module 15
- Certificate of completion
Four phases. Eight weeks. Sixteen live sessions.
/ 01 — CurriculumPhase 01 · Weeks 1 – 2
Product Foundations
Understanding products and product thinking — from what a product is, to why they fail, to researching markets and setting strategy.
Module 1Wk 1 · Fri
Introduction to Product Management
Product vs Project vs Program · Product Management explained · Who is a PM? · Types of PMs · Product team structure · Product lifecycle · Product thinking.
Practical: Choose three products you use daily and explain why they exist.
Module 2Wk 1 · Sat
Understanding Users & Problems
Why products fail · Problem-first thinking · User-centered design · Pain points · Personas · Customer journey mapping · Jobs-To-Be-Done.
Practical: Create a persona and customer journey for a food delivery app.
Module 3Wk 2 · Fri
Market & Product Research
Product discovery · Competitor analysis · Market research · User interviews · Surveys · Feature validation · Product-Market Fit.
Practical: Research two competing products.
Module 4Wk 2 · Sat
Product Strategy
Vision · Mission · Product goals · North Star metric · Roadmaps · Prioritization: RICE, MoSCoW, Kano.
Practical: Build a roadmap for a startup idea.
Phase 02 · Weeks 3 – 4
Core Product Management
The day-to-day skills of a PM — running agile teams, writing product documents, collaborating on design, and reading the numbers.
Module 5Wk 3 · Fri
Agile Product Management
Agile · Scrum · Kanban · Sprint planning, review & retros · Daily standups. Tools: Jira, Trello, ClickUp.
Practical: Run a mock sprint.
Module 6Wk 3 · Sat
Writing Product Documents
PRDs · User stories · Acceptance criteria · Epics · Features · Backlog.
Practical: Write your first PRD.
Module 7Wk 4 · Fri
UX for Product Managers
Design thinking · UX & UI basics · Wireframing · Information architecture · Design systems. Tools: Whimsical, FigJam.
Practical: Sketch an app.
Module 8Wk 4 · Sat
Product Analytics
Product metrics · Pirate metrics (AARRR) · DAU/MAU · Retention · Activation · Churn · Funnels. Tools: Mixpanel, GA.
Practical: Measure product success.
Phase 03 · Weeks 5 – 6
Technical Product Management
Working with engineers and building digital products — how software works, technical collaboration, delivery, and modern PM tooling.
Module 9Wk 5 · Fri
How Software Works
Internet basics · Frontend · Backend · Database · APIs · Authentication · Hosting · Cloud.
Practical: Understand engineering conversations.
Module 10Wk 5 · Sat
Working with Engineers
Technical requirements · API docs · JSON · REST APIs · Git · GitHub · QA testing · Bug reporting.
Practical: Test an API using Postman.
Module 11Wk 6 · Fri
Product Operations
Product delivery · Release planning · Feature flags · QA · Incident management · Product support.
Practical: Release planning exercise.
Module 12Wk 6 · Sat
No-Code & AI Tools for PMs
Notion · Airtable · Zapier · n8n · Bubble · Lovable · Cursor · GitHub Copilot.
Practical: Automate a simple workflow.
Phase 04 · Weeks 7 – 8
AI Product Management
Designing and managing AI-powered products, then packaging everything into a career-ready portfolio and capstone.
Module 13Wk 7 · Fri
AI Fundamentals
What is AI? · Machine Learning · Generative AI · LLMs · RAG · Agents · Fine-tuning · Prompt engineering.
Practical: Build prompts for business tasks.
Module 14Wk 7 · Sat
Building AI Products
AI product lifecycle · AI UX · Hallucinations · Guardrails · Evaluation · AI ethics · Responsible AI. Cases: ChatGPT, Perplexity, Claude, Notion AI.
Practical: Design an AI product.
Module 15Wk 8 · Fri
Career Development
PM portfolio · Resume · LinkedIn · Interview prep · Case studies · Salary negotiation · Freelancing · Consulting.
Practical: Create your PM portfolio.
Module 16Wk 8 · Sat
Capstone Project & Demo Day
Deliverables: Product idea · Research · Personas · User journey · Wireframes · PRD · Roadmap · Technical architecture · AI features · Success metrics · MVP plan.
Practical: Live presentation to mentors, with feedback.
Tools you'll actually use.
/ 02 — Stack- Product Management
- Jira · Trello · ClickUp · Notion · Productboard
- Design
- Whimsical · FigJam
- Analytics
- Mixpanel · Google Analytics
- Technical
- Postman · Git · GitHub · JSON
- AI
- ChatGPT · Claude · Perplexity · Cursor · GitHub Copilot · n8n · Lovable
What you'll walk away with.
/ 03 — Outcomes- Explain the principles and responsibilities of Product Management.
- Conduct user research and validate product ideas.
- Develop product strategies, roadmaps and prioritization plans.
- Write professional PRDs, user stories and acceptance criteria.
- Collaborate with designers and engineers on APIs, databases, auth and architecture.
- Use product analytics to measure performance and make data-driven decisions.
- Build prototypes and automate workflows with no-code and AI tools.
- Design AI-powered product experiences using responsible AI principles.
- Present an end-to-end product case study — portfolio and interview ready.
Taught by an operator.
/ 04 — Instructor
Eno Peters
Founder · Afritech Intelligence
AI Product Leader with 10+ years shipping intelligent systems across emerging markets.
Alumni, in their own words.
/ 05 — AlumniIt was everything I hoped for and more — hands-on, practical, and we actually built with AI tools instead of just talking about theory. If you want to learn AI PM the practical way, Afritech Intelligence is where you need to be.
Very insightful into AI product management beyond tools and buzzwords. It taught me AI product sense and the lifecycle of AI products — how to decide if AI should be built, model decisions, cost decisions and more.
Instead of just theory, Eno walked us through the gritty details of AI evaluations, prompt engineering and data ethics. You learn how to think about success metrics, users, and building products that deliver real value.
A great hands-on experience. We worked in groups, built practical solutions like a RAG chatbot and workflow, and the facilitator was very supportive. A valuable and engaging program I'd recommend.
One of the most valuable learning experiences I've had recently. It broke down complex ideas into practical, actionable steps I can apply to building better products.
Asked & answered.
/ 06 — FAQNo. If you can write a PRD and use a browser, you'll ship with AI by the end of the program.
Ready to ship real products?
Join the next cohort and graduate a full-stack, AI-ready Product Manager.
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