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Management · NGS-1010

AI for Delivery Professionals

You already write the stories, the notes, and the status, and you can feel AI pressing on that work. This course shows where it lifts you, and where a smooth answer hides a mistake with your name on it. Leave trusting the page again, because you directed it.

  • 18 hours
  • Practitioner
  • Live virtual
  • October 21 — November 25

Benefits

  • Six live practice labs on work you already do.
  • A prompt kit and a simple checklist for checking AI output.
  • Class recordings you can rewatch for 90 days.
  • A certificate when you finish.

Course overview

18hours
  1. 1

    The delivery stack with AI in it

  2. 2

    Stories and acceptance criteria

  3. 3

    Test scenarios and what quietly fails

  4. 4

    Stakeholder synthesis

  5. 5

    Sprint reporting without theatre

  6. 6

    Governance, evals and your kit

AI will draft the story for you. It will also invent a requirement nobody said, and bury the disagreement in a tidy paragraph. This course is for analysts, project managers, Scrum Masters, and product owners. You do not need to code. You need a job where this work already happens. You bring your own notes. You draft a story, then check it before it reaches the team. You summarise a meeting without losing the argument. You read an AI-written test and a status report and find the mistakes. The instructor stays for the check, not just the demo. You leave with a small kit you can use on Monday, and a clear rule: a person is still responsible. Recordings stay for 90 days. Six live weeks. Dates and the fee are on this page.

Outcomes

What you will be able to do when the course ends. This is not the list of things you take home. That list is Benefits, at the top of the page.

  1. 1You can draft a user story, then check it yourself before it goes to the team.
  2. 2You can turn meeting notes into a clear summary without losing the disagreement.
  3. 3You can spot where an AI-written test or status report is wrong.
  4. 4You can use a small AI kit in the job you already have.

Curriculum

The modules are listed here. You enrol in the whole course, not one module.

  1. Module 1

    The delivery stack with AI in it

  2. Module 2

    Stories and acceptance criteria

  3. Module 3

    Test scenarios and what quietly fails

  4. Module 4

    Stakeholder synthesis

  5. Module 5

    Sprint reporting without theatre

  6. Module 6

    Governance, evals and your kit

Schedules for AI for Delivery Professionals

AID-2610

AI for Delivery Professionals

18 seats open
SG

Shailesh Gabhane

Founder · Lead Trainer

English

Trainer profile

Where and when

  • Wed, Oct 21, 2026 — Wed, Nov 25, 2026
  • Tuesday evenings · 18:30–21:30 ET
  • Zoom
  • Live virtual · Toronto
More details

$700

Outcomes

You can draft a user story, then check it yourself before it goes to the team.You can turn meeting notes into a clear summary without losing the disagreement.Live online18 hoursPost-course resources & support

AID-2612

AI for Delivery Professionals

18 seats open
SG

Shailesh Gabhane

Founder · Lead Trainer

English

Trainer profile

Where and when

  • Tue, Dec 1, 2026 — Tue, Dec 15, 2026
  • Tue & Thu evenings · 18:30–21:30 ET
  • Zoom
  • Live virtual · Toronto
More details

$700 early bird

$595

Outcomes

You can draft a user story, then check it yourself before it goes to the team.You can turn meeting notes into a clear summary without losing the disagreement.Live online18 hoursPost-course resources & support

Who can attend

Built for people like you

You will get the most from this ifBusiness analysts, project managers, Scrum Masters, product owners

What to bringYou already run or support delivery (BA, PM, Scrum, product). No data-science background required. Prompt & Context Engineering is recommended, not mandatory.

Instructor

SG

Shailesh Gabhane

Founder · Lead Trainer

CBAP, PMP, CSPO

Delivery practitioner who built NGSB so working adults in the GTA could see a clear path into BA, PM and agile roles — without guessing the next step.

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With this course

Add-ons

These are the extras for this course. They are not included in the fee. You can add one when you enrol.

  • One-to-one coaching hour

    A 60-minute session with your trainer within 60 days of the cohort.

    $145

  • Mentoring — 4 hours

    Four 1:1 hours with faculty after the cohort. Career or delivery.

    $480

  • Resume and interview studio

    Canadian-market resume pass plus a recorded mock panel.

    $349

Your next story, status report and test case will be written with AI either way. Direct it.

FAQ’s

Who is this course for?
Business analysts, project managers, Scrum Masters, and product people who already write the stories and the status, and can feel AI pressing on that work.
Will AI do my job in this course?
No. You learn where it lifts the work, and where a smooth answer hides a mistake a sponsor will pay for.
Is this an exam course?
No. PMI-CPMAI Exam Prep is the exam. This course is the daily work. The exam fee is not included in either.
What do I leave with?
A way to use the tools on real delivery work, the recordings, and a certificate of completion.
Do you guarantee a job after a cohort?
No. We publish dates, prices, refund terms and consented stories. Placement and income claims are not part of this academy.
What time zone are live sessions in?
Source zone is America/Toronto unless a cohort says otherwise. Session times always name that zone. Convert in your own calendar from the ICS on the cohort card.
Can I join a waitlist if a cohort is full?
Yes. Waitlist captures name, email and optional phone. It does not take payment. Seats that free up are offered in join order.
How does early-bird pricing work?
If a cohort has an early-bird price and the cut-off has not passed (server date at payment), checkout charges the early-bird amount. The cart may still show list price until quote.
What is the refund window?
Full refund before the published cut-off relative to the cohort start; after that the published bands on the Refund page apply. Checkout requires you to accept that policy.