The AI Decision Course, from The Artificial Intelligence Podcast
Decide where AI goes, and prove it was worth it.
The AI Decision Course is an annual, self-paced course for directors, VPs and executives who decide where AI goes in their company. It has 11 courses and 187 short lessons, each a short read with a card your team fills in, three AI prompts and a quiz. It is $299 a year (founding price), with a full refund within 14 days. It is by Dr. Tony Hoang, host of The Artificial Intelligence Podcast.
Try it for 14 days. If it isn't useful, the full $299 comes back.
By Dr. Tony Hoang: AI executive, PhD in Computational Biophysics, host of The Artificial Intelligence Podcast (100 interviews).
The courses
Open now: 11 courses, 187 lessons. New courses join the membership as each one is finished.
General
- Course 1Proving AI's value: use cases and ROIFor leaders who have to decide which AI projects to fund and show they paid off: naming the problem, setting the bar before a pilot, reading the numbers, and when to stop.Free lesson: Before you fund an AI project, make someone name the problem, 3-minute read
- Course 2Data foundations for AIFor leaders whose AI plans depend on data they have not checked yet: what data an AI project needs, what to fix first, and how to tell whether your data is an advantage.Free lesson: A better model won't fix data it can't see, 3-minute read
- Course 3Building AI skills and the workforceFor leaders planning how AI changes their people: which work it reaches first, retraining, hiring, junior roles, and keeping experts on side.Free lesson: Next year's hiring plan: fewer hires, more output, new roles, 3-minute read
- Course 4Getting AI adoptedFor leaders who have bought AI tools that people are not using: closing the understanding gap, giving people a safe place to try, and owning the decisions only the top can make.Free lesson: Before you buy more AI, close the understanding gap, 3-minute read
- Course 5Governance, risk and responsible AIFor leaders who answer for what AI does: what to check before it speaks in public, vendor terms, bias, disclosure, and safety work before release.Free lesson: Count the AI you already have, 3-minute read
- Course 6Agents in productionFor leaders deciding where AI agents can do real work: which processes are ready, how much autonomy to give and when, error rates, and keeping agents in check once they run.Free lesson: Ask what a so-called agent actually does, 3-minute read
- Course 7Build, buy and choosing modelsFor leaders choosing between building, buying and which model to use: testing vendors on your own work, small models or frontier ones, switching models, and capacity.Free lesson: Test an AI vendor on your own work before you sign, 3-minute read
- Course 8Securing AIFor leaders responsible for AI security: where attackers use AI, agent tool servers, deepfakes at the help desk and camera, plant systems, and watching running agents.Free lesson: Where company data leaks into outside AI tools, 3-minute read
- Course 9AI in customer service and experienceFor leaders bringing AI into customer service: launching the first chatbot safely, who gets a person, an owner for every reply, letting AI help your live agents, and the number your service answers to.Free lesson: Launch the chatbot on one question, because you answer for every reply, 2-minute read
- Course 10AI for software and technical teamsFor leaders whose software teams are picking up AI coding tools: what to measure before and after, who owns which work, review and gates at agent speed, and what the tools may see.Free lesson: Pick the delivery numbers to watch before coding tools land, 3-minute read
Industry track
- AI in healthcareFor leaders in hospitals, health systems and health companies: easing the documentation burden on clinicians, deciding what AI may see in the patient record, prior authorization, and who carries the risk when AI touches care.Free lesson: Take the documentation burden off your clinicians first, 3-minute read
Who it's for
You know you need to get in the game, but not who to trust.
For the experienced leader who fears a costly mistake more than missing out.
You were promoted into AI decisions and need to get smart fast.
For the newer leader whose field keeps changing under them.
You were the skeptic, and now you have to adapt.
For the leader who held back and now has to catch up without being sold to.
Who teaches this
The course is written and taught by Dr. Tony Hoang, an AI leader and executive with a PhD in Computational Biophysics and 10 or more patents. He has hosted The Artificial Intelligence Podcast since 2021, with 100 interviews, and Spotify Wrapped 2025 listed the show as a Top 2% Most Shared Podcast.
Where it comes from
Built on interviews with chief AI officers, CTOs, product leaders and founders on The Artificial Intelligence Podcast, plus other leaders' interviews and published research, each named in the lesson's sources. Guests on the show spoke there, not for this course, so the lessons don't name them. Where a point rests on one guest, the lesson tells it as theirs. It is not a coding course, and there are no live calls: you work through it at your own pace.
How every lesson is checked
- Every point from an interview is checked against what was actually said.
- Every research number is checked at its source and linked at the end.
The course opened in 2026 and has no reviews yet. You would be among its first members.
How a lesson works
Get the point in 60 seconds.
Every lesson opens with what to do, then a short read on why, from leaders who have done it.
Know what to ask.
Each lesson says what to ask, which role to ask, and who owns the answer.
Fill in the tool with your team.
A card or checklist, with a worked example.
Ask about your own case.
A chat beside every lesson answers from the lessons and takes follow-up questions, like how it applies to your company.
Every lesson ends in a card like this. Here, one filled in for an invoice-matching agent.
Go/no-go card
Example
- Task
- Matches supplier invoices to purchase orders
- Baseline
- 14 clerks, about 40% of their day, 1 in 8 invoices redone
- Quality bar
- Bar 2 in 100. Measured 4 in 100Fails the bar
- Who can stop it
- Blank: not readyOwner: IT, by 5 Dec
Membership
$299 a year (founding price)
- Every course in the membership, as each one is finished
- A card or checklist with every lesson, with a worked example
- A chat beside every lesson, with follow-up questions
- Three ready-made AI prompts per lesson
- Lessons kept current, with an email when a change matters
Founding price for the first 50 members, until 31 March 2027. The standard price is $499 a year.
Annual membership, no monthly plan. Renews each year; we email you 30 days before. Cancel online at any time. Your price stays $299 at your first two renewals.
Prices are in US dollars, plus any sales tax or VAT that applies where you live.
By joining you agree to the membership terms. It renews each year until you cancel.
Expense it
Most employers pay for professional learning. Send your manager something like this:
To: your manager
Subject: Learning budget request
I'd like to take The AI Decision Course, an annual course for leaders on putting AI to work ($299 a year at the founding price). It is self-paced lessons with tools we can use as a team. Can I expense it under our learning budget?
Your receipt comes from Link, the checkout run by Stripe, and names the membership.
FAQ
Is there a monthly plan?
No. Membership is annual only.
Are there live calls or coaching?
No. Everything is self-paced.
Can my team join?
Write through the contact page to ask about teams.
Can my company pay for it?
Yes. Pay with a company card at checkout. Your receipt comes from Link, the checkout run by Stripe, and names the membership. Forward it to expense it.