Learn discovery, PRDs, prototyping and automation — then build a working AI workflow and a plan to launch and measure it.
Teams buy AI tools and see little change because nobody mapped the workflow, defined success or drove adoption. AI product builders connect the real problem, the right tool and the people who will use it.
Every week has a hands-on lab and an assignment. Open a week to see both.
Find problems worth solving
Interview a mock support team about their busiest workflow.
Synthesise interviews into three problem statements.
Map the merchant KYC follow-up workflow in Miro.
Score five AI opportunities on value and feasibility.
Specify and prototype the solution
Draft a PRD for your top-scoring opportunity.
Add user journeys, edge cases and success metrics.
Build a clickable prototype of your AI feature.
Run three usability tests and list what you changed.
Ship, measure and drive adoption
Automate support ticket triage with an LLM in n8n.
Build a prompt library and quality checks for the workflow.
Build an internal sales intelligence tool in Retool.
Handle failures gracefully and collect user test notes.
Instrument your tool with Mixpanel events.
Define an adoption metric and a dashboard to track it.
Run a risk and bias review of your AI workflow.
Write a launch and adoption plan with an ROI estimate.
Learners new to product work can take up to 10 weeks; the extra time is for discovery practice.
Plan for 8–10 hrs/week, including the live session.
Automated triage and drafted replies for a fintech support queue, with human approval.
Support tickets from a payments app
An internal tool that summarises accounts and suggests next actions before sales calls.
CRM exports and public company data
A PRD and automation that removes manual steps from merchant KYC follow-ups.
Merchant onboarding workflow and KYC checklist
Take a real fintech operations problem from discovery to a working AI workflow, and plan how to launch, measure and scale it.
Dataset: Merchant onboarding cases, KYC documents and support logs
Prefer another domain? Choose SaaS, E-commerce, Logistics or Healthcare at the capstone kick-off.
Own AI features from idea to adoption
Design and run business automations
Translate workflows into AI requirements
These are the roles this track prepares you for. AI4Impact provides career support; it does not guarantee employment, interviews or a particular salary.
Completion records that you did the work. The professional certificate is awarded only after an independently reviewed capstone and a recorded defence, so it means something to the people hiring.
Add it to any track. Five modules that take you from a finished capstone to real interviews, for ₹24,999.
Each week has short recorded lessons, a hands-on lab and an assignment, plus a live clarification session with your trainer. Plan for 8–10 hours a week, including the live session.
They are part of Programme+: five one-to-one 30-minute sessions you book through your learner dashboard and use for scoping, reviews or career direction.
Fintech is the default. If you prefer another domain, you can choose SaaS, E-commerce, Logistics or Healthcare at the capstone kick-off.
No. AI4Impact provides career support and recommendations, but it does not guarantee employment, interviews or a particular salary. Hiring decisions are made by employers.
Book a free 20-minute call. We look at your background and tell you honestly which track fits, or if none of them do yet.
