Joris Groen

How to Design AI Assistants That Convert

Booking.com

Mercedes-Benz

bol.com

Vodafone

Postcode Loterij

UX & AI Lead | Behavioural Psychologist | Best-Selling Author | Ex-Booking.com

Design conversations that drive measurable outcomes like sales, retention, data capture, and self-service.

Develop LLM-based chatbots that influence user behavior

Learn from real-life case studies how to engage users, build trust, reduce friction and motivate desired behaviors.

Apply influencing psychology to conversation design

Use my proven framework to combine user data and real-time need assessment for 1:1 persuasion at scale.

Orchestrate 1:1 personalized persuasion

You'll learn how to build AI tools that actually work — for you, your stakeholders, team & learners — across your full workflow.


Weekly live classes on Fridays @ 8-9AM UK



Class of February 2026

World-leading expert in AI & education

Dr Philippa Hardman 

Class of January 2026

Weekly live classes on Fridays @ 4-5 PM UK

Class of April 2026 

You can ask AI to "write 5 learning objectives for a sales training." It will do what you ask, but the objectives will be generic, inconsistent &amp; lack impact. You will spend as much time editing them as you would've spent writing them from scratch.Or: you can build a Learning Objective Writer that follows your design standards every time, checks its own work against your rubric, writes in your style guide, and can be shared so that anyone on your team can use.That's the difference between prompting and building. This bootcamp teaches you to build. ______________

“All learning designers will be AI-enhanced learning designers in the future"

AI-Enhanced Analysis 

AI-Enhanced Design 

AI-Enhanced Development & Implementation

AI-Enhanced Evaluation 

Learning Designers - you want to stay ahead of the curve &amp; leverage AI to optimise your efficiency &amp; impact on learners

L&amp;D Professionals - you want to optimise org performance by taking an evidence-based, AI-powered approach to workplace training design

Academics &amp; Teachers - you want adopt an evidence-based design approach to learning design process &amp; stay ahead of the AI curve

Build robust LLM-powered apps, chatbots, and agents. Learn by writing real code, one line at a time.

CEO @ Actualize

Jay Wengrow

Software Engineer and Educator, Author of A Common-Sense Guide to AI Engineering

Cohort 1

Cohort 2

Do you have a grasp of basic LLM principles but struggle to put it all into code? Tired of scattered documentation, outdated tutorials, and frameworks that impress in demos but collapse in production?You’re not alone. Building with large language models doesn’t have to be confusing - it can be clear, structured, and deeply rewarding.In this course, you’ll build real LLM-powered apps, one line of code at a time. You'll see how an app is built from scratch in real time, and follow along. Along the way, you'll discover not only how to implement these systems, but the why behind each line of code.From chatbots to agents and RAG to evals, you’ll learn the core concepts of building atop LLMs. More importantly, you’ll get how LLMs “think” - allowing you to guide them to do what you want despite their nondeterministic nature. Additionally, you’ll be able to balance quality, latency, and cost, making big-picture decisions about AI-powered app architecture.AI engineering isn’t just another branch of software development - it’s a different mindset altogether.

Gain hands-on AI Engineering proficiency by writing real code

Gain real-world intuition for working with LLMs

Reliably guide LLMs instead of getting unpredictable results.

Build retrieval-augmented assistants that can access proprietary knowledge

Use evals to systematically optimize your LLM app’s performance over time

Assemble agents that act upon the real world

This course is designed for current software engineers who will use Python  to build LLM-powered apps. We won't teach basic coding here.

Software Engineering

We'll be using Python, but we'll keep it simple in case you're more familiar with other coding languages.

Note about Python

If you want an inside look at what's involved with building AI apps but don't plan on coding yourself, you'll still follow what's going on.

Exception: Product Managers

Software engineers who want to build LLM-powered chatbots and agents, or break into AI engineering more generally

Data Scientists/Engineers who want to build their own LLM-powered apps

Product Managers who want to understand AI engineering from the coding perspective

Master a proven system to create clear, persuasive presentations in half the time using AI as your strategic thinking partner.

This is a hybrid learning experience that combines:
•	8 self-paced modules delivered in March
•	2 live, 60-minute coaching sessions in March 2026
•	Lifetime access to all module recordings
•	Lifetime access to all live session recordings
•	Templates, checklists, prompt packs, and before/after examples


Ex-JPMorgan VP | Presentation Expert

JPMorgan Chase & Co.

Commerzbank

PwC UK

MaryBeth Hazeldine

Presentation psychology expert with 35 years training Fortune 500 professionals

You know presentations matter. They shape decisions, win clients, and move careers forward. But creating them? That's exhausting.You spend hours wrestling with structure, rewriting messaging that doesn't land. By the time you're done, you're not even confident it will work.AI promises to help, but most people end up with generic outputs and robotic messaging. The tool saves time on the wrong things.Here's what's needed: a strategic approach combining AI efficiency with presentation psychology—the clarity, structure, and persuasion that makes people act.This course teaches exactly that. You'll use AI not as a shortcut, but as a thinking partner. You'll learn frameworks like AVP (Action-Value-Proof) and messaging psychology that transform unclear ideas into compelling narratives.You'll build presentations faster—yes. But more importantly, you'll build them better. Clearer structure. Stronger messaging. More impact.By the end, you'll have a repeatable workflow that cuts creation time in half while dramatically improving quality. No more staring at blank slides. No more second-guessing. Just confident, persuasive presentations—every time.

Master AI-powered presentations that persuade, save time, and win decisions

Structure presentations that are clear, logical, and impossible to ignore

Craft persuasive messaging that resonates and drives action

Build a repeatable AI workflow that saves 10+ hours per week on presentations

Turn data and complex information into stories people actually understand

Professionals who create presentations regularly and want to save hours while delivering clearer, more persuasive, impactful results

Managers, consultants, and client-facing roles who need to influence stakeholders and communicate complex ideas with confidence

Ambitious professionals who want to stand out by mastering communication skills that position them as clear, strategic business leaders

Go beyond interfaces—shape how intelligent systems behave.

AI Design Leader |  x-Uber/Google/Amazon

Stanford University

Amazon

Google

Uber

Rupa Chaturvedi

AI Design Leader | AI enablement for UX orgs | ex-Uber, Google, Amazon, Stanford

Cohort 3

AI is fundamentally changing how software products are being built. Companies are integrating large language models, agents, and adaptive systems. But user experience is often an after thought.The challenge? Designing for AI isn't like designing for traditional software. It's about system behavior, adaptation, and collaboration between humans and machines.If you've launched an AI feature only to watch users abandon it because they didn't understand what it was doing, or if you've been asked to "design the AI experience" but weren't sure where to begin, this course is for you.The Designer's Role Is EvolvingOpenAI and Zillow recently posted Model Designer roles focused on shaping how models behave. AI design roles are becoming mainstream, and designers are increasingly being pulled into agentic workflows. This signals where the discipline is headed: designers who can work upstream, influencing what systems learn, how agents act, and when they surface decisions to users.The discipline is shifting upstream. Designers must now shape what systems learn, how agents behave, and when to include humans in the loop - not just style the interface.

The AI Tech Revolution Is Redefining Design

Understand Model Capabilities and Constraints

Specify and Evaluate Model Behavior

Design for Adaptive and Emergent Systems

Build Trust Through Transparency and Human Oversight

Design Agentic Workflows and Multi-Step Interactions

 Influence Upstream Product Decisions

Senior UX &amp; Product Designers: Deepen your systems thinking skills and learn to design around model behavior

Design Leads &amp; Heads of UX: Guide teams, shape AI product strategy, and lead with system-level thinking and trust design.

AI-Aware PMs &amp; Researchers: Collaborate better with design, align model goals with UX, and support trust focused, adaptive systems.