"I used the status report generator the Monday after the bootcamp. What used to take 45 minutes now takes 5. My manager noticed before I even mentioned the bootcamp."
8 hours/week saved
YOU MANAGE REAL PROJECTS. AI SHOULD TOO.
AI-PM BOOTCAMP // INTERMEDIATE // HANDS-ON // PRACTITIONER-LED
Build AI-powered workflows for sprint planning, risk detection, and stakeholder communication. Walk out with a personal PM AI toolkit you will use on Monday.
Next cohort: March 2026 — 18 seats remaining
BUILT BY SQUARESHIFT — GOOGLE CLOUD PREMIER PARTNER
You already manage sprints, stakeholders, and risk. This bootcamp gives you AI workflows that make all of it faster. Every session builds a real artifact — a prompt, a template, a system — that you take back to your desk and use immediately.
Tech Stack
| Without AI | With Your AI Toolkit | |
|---|---|---|
| Status reports | Status reports take 45 minutes every Friday | Status reports done in 5 minutes, polished and audience-adjusted |
| Sprint estimation | Sprint estimation runs on gut feeling and debate | Sprint estimation backed by AI reasoning and data |
| Scope creep | Scope creep means persuasion, negotiation, hope | Scope creep met with impact analysis and three pushback options |
| Risk detection | Risk detection means waiting for the fire | Hidden risks surfaced from messages before they escalate |
| Developer signals | Developer signals get lost in Slack noise | Early warnings flagged days before problems hit |
The instructor pastes a vague stakeholder email into AI. Structured requirements appear in 90 seconds. Then you do it yourself. By the end of this session, you have extracted clean, actionable requirements from a document that would have taken you an hour.
Take the requirements you just built. Feed them into AI. Out comes a complete sprint backlog — user stories, acceptance criteria, story point estimates with AI reasoning. You compare the AI estimates to your gut and find they are disturbingly close.
Your sprint just started. Then the email arrives: "Can we just add one thing?" You use AI to calculate impact on sprint capacity, generate three pushback options, and adjust the tone for your VP. You never say yes without data again.
Raw sprint data goes in. A polished, executive-ready status update comes out. Five minutes. You adjust the tone for the CTO version, the client version, and the team version. Your Friday afternoons just got shorter.
Five developer messages. Which ones hide a risk? You guess two. AI finds three you missed. You learn to read the signals — "complex," "not sure," "still figuring out" — and build a severity scoring system that catches problems in plain sight.
You stop waiting for problems to find you. Using three days of Jira data and Slack threads, you build an AI-powered daily lookahead that predicts which tasks will slip, which developers are stuck, and which risks will escalate by Thursday.
Seven artifacts. Scattered across chat windows. You organize them into a structured PM AI template library — categorized, documented, and ready. Ten-plus reusable prompts. One system. You walk out with the toolkit you will use tomorrow morning.
Senior Delivery Manager
"The best prompts come from PMs who understand what 'done' actually means in a sprint."
Specialty: Agile Delivery · Sprint Backlog Review · AI-Augmented PM Workflows
Clients: ['Oracle', 'MetLife', 'Broadcom']
Program Manager
"AI does not replace your PM judgment. It gives you data to back it up."
Specialty: Program Management · Risk Detection · Multi-Program Delivery
Clients: ['Amazon', 'EY', 'Broadcom']
Technical PM
"Scope creep is a data problem. Once you have the numbers, the conversation changes."
Specialty: Technical Project Management · Scope Impact Analysis · AI-Powered Change Management
Clients: ['MetLife', 'Oracle']
CHENNAI, INDIA | ONSITE
March 2026
INR 12,000
18 seats remaining
Limited availability
CHENNAI, INDIA | ONSITE
March 2026
INR 15,000
18 seats remaining
Required
Not Required
If you can paste text into a chat window, you have the technical skills. Every session starts with a live demonstration before you build anything.
Project managers with 3-15 years of experience who want AI-powered workflows within frameworks they already know.
Managing multiple sprints and client teams, looking for efficiency gains
Running agile ceremonies and managing sprint capacity
Overseeing concurrent programs, tracking risks across workstreams
Bridging technical teams and business stakeholders
Curriculum aligns with PMP competency areas — scope, schedule, risk, communication, stakeholder management
"I used the status report generator the Monday after the bootcamp. What used to take 45 minutes now takes 5. My manager noticed before I even mentioned the bootcamp."
8 hours/week saved
"The scope creep shield was the first AI tool I actually used at work. A client pushed for a mid-sprint addition. I ran the impact analysis, presented three options, and the client chose to defer."
First data-driven scope decision
"The early warning system caught a dependency issue that would have blown our release date. The AI flagged it from a developer's Slack message I had read and ignored."
Risk caught 2 days early
"I came expecting tips. I left with a system. The template library alone is worth the price — ten prompts organized by PM phase, each one tested and documented. I use three of them every day."
3 AI prompts used daily