Product development with AI
A structured, instructor-led training that gives you the frameworks to understand where AI helps across product work, and where judgment leads
About this Training
From scattered use to a full lifecycle understanding of AI
What to Expect
AI in product work has a clear scope. Most teams only ever understand part of it. This training walks you through the full picture, from where AI genuinely helps to the judgment calls that keep it in check.
Delivered across 2 sessions, each one covers a distinct half of using AI in product work. Participate both parts for the full picture, or focus on the lesson most relevant to where you are right now. Each one is instructor-led, structured, and designed to give you knowledge you can apply the same week.
Delivered across 2 sessions, each one covers a distinct half of using AI in product work. Participate both parts for the full picture, or focus on the lesson most relevant to where you are right now. Each one is instructor-led, structured, and designed to give you knowledge you can apply the same week.
Training Breakdown
One training. Two parts.
Each part covers a distinct phase of the product development cycle. Participate the two parts to walk away with the complete picture.
1
Part One
AI Across The Lifecycle — Discovery, Building & Iteration
This session covers where AI is genuinely useful: synthesizing research, speeding up prototyping, and reading usage data faster.
Learning Objective
Understand how AI tools synthesize research and support data into usable themes
Recognize what AI-assisted prototyping can and can't replace in a normal dev cycle
Understand how AI supports faster experimentation and pattern-spotting in product data
Identify where AI output still needs a human sanity check
2
Part Two
Judgment & Guardrails — Keeping AI In Its Lane
The final session closes the loop, covering the decisions that keep AI a tool for speed rather than untested confidence.
Learning Objective
Recognize the difference between AI speeding up a decision and making it
Understand what guardrails a team should set before leaning on AI output
Evaluate AI-generated work for quality, security, and scalability before it moves forward
Understand what a "learning machine" looks like in practice: ship, measure, adjust
How it Works
Structured Learning. No Fluff.
Built from real AI use
Every framework comes from how product teams actually use AI today, not a vendor's demo reel.
Speed and judgment
Covers where AI genuinely speeds up the work, and where human judgment still has to lead.
Real AI cases
Every concept is walked through with real prototypes and data reads to back it up, not just a theory.
A framework you keep
Every session ends with guardrails you can recognize, apply, and bring back to your team.
Request A dedicated Session for your Organization & teams
The right knowledge, delivered the right way. Our trainers break down complex concepts into clear, actionable lessons your team can apply from day one because understanding the why makes all the difference.