Project Manager→ AI Delivery Lead
Planning, requirements, execution, risk management, stakeholder communication and reporting.
What's changing in this role
Status reports, plan updates and meeting notes are increasingly generated by tools. What remains valuable is scoping, decisions, accountability and designing how AI fits into delivery.
What you carry over
- + Stakeholder judgment
- + Knowing how your organisation actually decides
- + Delivery accountability
Who it is for
Built for people like you.
- Coordinators and team leads
- Business analysts moving into delivery
- Professionals switching into project management
Skills covered
What you will practise.
- Planning
- Requirements
- Agile and Scrum
- Risk management
- Stakeholder communication
- Status reporting
- AI-assisted delivery
30-day overview
Every day, planned.
Four weekly phases of daily problems, an assessment after each week, and mock interviews on Days 29–30. Open a week to see what is covered.
Week 1Days 1–7FoundationsDelivery foundationsThe core of delivery, and an honest audit of what tools now do without you.
- Day 1Project charter — Write a one-page charter for a new internal tool.
- Day 2Requirements from a messy brief — Turn a rambling stakeholder email into clear requirements.
- Day 3Work breakdown — Break a project into a WBS and milestones.
- Day 4Agile vs. waterfall decision — Choose a delivery approach for three projects and justify it.
- Day 5Stakeholder map — Map stakeholders by influence and interest.
- Day 6What automation already does — Audit a PM's week against today's tooling.
- Day 7Weekly assessment: Process auditMap one real delivery process against today's tooling and identify what should change.Practical task + short written reasoning, scored against a rubric
Week 2Days 8–14Practical executionPlanning and scoping AI-native workEstimates, backlogs and review loops when AI drafts the first version.
- Day 8Estimation — Estimate a backlog using story points and explain your assumptions.
- Day 9Sprint planning — Plan a two-week sprint with a capacity constraint.
- Day 10Writing user stories — Write stories with acceptance criteria for a feature.
- Day 11Timeline and dependencies — Build a timeline and identify the critical path.
- Day 12AI in the loop — Re-estimate work when an agent drafts code or content.
- Day 13Status report that gets read — Write a one-page RAG status update.
- Day 14Weekly assessment: Re-estimateRe-estimate a live project with AI in the loop and explain the changes.Practical task + short written reasoning, scored against a rubric
Week 3Days 15–21Real-world problem solvingRisk, change and stakeholdersThe judgment calls: risk, scope change, conflict and human-in-the-loop design.
- Day 15Risk register — Identify, score and plan responses for ten risks.
- Day 16Scope change request — Handle a late scope change without losing the date.
- Day 17Difficult stakeholder — Prepare for a meeting with a stakeholder who disagrees.
- Day 18Project in trouble — Recover a project that is three weeks behind.
- Day 19Review gates for AI work — Design where humans must review AI-generated output.
- Day 20Escalating to leadership — Write an escalation that asks for a clear decision.
- Day 21Weekly assessment: Workflow designDesign the review gates for one real workflow.Practical task + short written reasoning, scored against a rubric
Week 4Days 22–28Portfolio and interview readinessMeasurement and portfolioProving delivery impact and packaging your work.
- Day 22Delivery metrics — Choose metrics for throughput, quality and predictability.
- Day 23Dashboard for leadership — Build a delivery dashboard in a spreadsheet.
- Day 24Retrospective — Run a retrospective and turn it into actions.
- Day 25Portfolio: case study — Write a before-and-after case study of a redesigned process.
- Day 26Portfolio: presentation — Present your case study in 5 minutes.
- Day 27Interview drill: situational — Answer situational PM questions using STAR.
- Day 28Weekly assessment: Case study presentationPresent a before-and-after of a process you redesigned.Practical task + short written reasoning, scored against a rubric
Weekly assessment previews
Four checkpoints. Real feedback.
- After Day 7Process auditMap one real delivery process against today's tooling and identify what should change.
- After Day 14Re-estimateRe-estimate a live project with AI in the loop and explain the changes.
- After Day 21Workflow designDesign the review gates for one real workflow.
- After Day 28Case study presentationPresent a before-and-after of a process you redesigned.
Expected outcomes
What you will be able to do.
- Plan and scope a project from a messy brief
- Run sprints and track dependencies
- Manage risk and scope change
- Communicate status to stakeholders
- Design where AI fits into delivery
Role-specific projects
Evidence you can show.
- End-to-end project plan: charter, backlog, timeline, risk register and status reports
- Case study of an AI-assisted delivery process
Interview preparation & mock interviews
Practise the questions Project Manager interviews actually ask.
Preparation runs through Week 4. Mock interviews happen on Days 29 and 30, with written feedback.
- Project lifecycle
- Agile and Scrum
- Estimation
- Risk and change management
- Stakeholder management
- Metrics and reporting
- Technical
How do you estimate a project you have never done before?
- Scenario
Your project is behind by three weeks. What do you do?
- Scenario
A senior stakeholder adds scope a week before launch.
- Technical
What is the difference between a risk and an issue?
30-Day Job Readiness Program · Project Manager
₹14,999
Cohort starts 25 September 2026. Cohort size is limited because every weekly assessment and mock interview gets individual feedback.