World-leading expert in AI & education

10 people enrolled last week.
Learn how to become a "full stack" LXD capable of analysing, designing, developing, implementing and evaluating learning experiences with the help of AI — without sacrificing quality.
In 4 hands-on weeks, you’ll learn how to work with AI to:
Analyse → diagnose learning problems and define success with confidence
Design → create evidence-based learning solutions you can defend
Develop & implement → rapidly prototype and build AI-powered tools and workflows
Evaluate → measure impact continuously and improve learning over time
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This isn't just a "how to prompt" course:
→ You'll develop the evergreen skills, principles & frameworks you need to decide if, when and how to work with AI across the end-to-end workflow.
→ You’ll leave with a set of reusable AI systems you can use for real straight away — from prompt templates to GPTs, agents & automated multi-agent workflows.
You’ll learn when to use AI, how to guide it properly, and how to scale what works, without sacrificing quality or judgement.
Run root cause analysis with AI to decide: is this actually a training problem?
Analyse qualitative and quantitative data to define the learning problem, goals, and success criteria
Create a robust problem definition document (business problem, learning problem, root cause, learner profile)
Generate clear, measurable learning objectives mapped to learner profiles and business outcomes
Use AI to explore and select instructional strategies, delivery modes, and learning concepts
Produce an evidence-based design outline and rationale you can explain to stakeholders
Draft and refine learning content using AI while maintaining quality control
Rapidly prototype learning activities, scenarios, and experiences for early testing
Decide when a design should become a prompt, GPT, app, or agent - then build
Analyse qualitative feedback using AI-assisted semantic analysis
Explore and interpret quantitative evaluation data with AI support
Build always-on evaluation systems using bots and agents

Top Voice on LinkedIn | Cambridge Uni Scholar | TED Speaker | Learning Designer
Learning Designers - you want to stay ahead of the curve & leverage AI to optimise your efficiency & impact on learners
L&D Professionals - you want to optimise org performance by taking an evidence-based, AI-powered approach to workplace training design
Academics & Teachers - you want adopt an evidence-based design approach to learning design process & stay ahead of the AI curve

Live sessions
Learn directly from Dr Philippa Hardman in a real-time, interactive format.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
4 live sessions • 14 lessons • 8 projects
Feb
27
🚀 AI & Learning Design Bootcamp - Live Class 1
Mar
6
🚀 AI & Learning Design Bootcamp - Live Class 2

Live sessions
1 hr / week
Weekly 60 min live sessions on Fridays, led by Phil
Fri, Feb 27
8:00 AM—9:00 AM (UTC)
Fri, Mar 6
8:00 AM—9:00 AM (UTC)
Fri, Mar 13
8:00 AM—9:00 AM (UTC)
Fri, Mar 20
8:00 AM—9:00 AM (UTC)
Projects
1 hr / week
Weekly immersive projects, completed async with async support from me & your cohort in a dedicated online community
Async content
1 hr / week
Weekly TLDR summaries of the current state of AI use for analysis / design / development & implementation, based on robust research

Michelle Mitchelle

Hannah Palin

Gianluca Mauro

Renee Guilbault
Watch me (or rather, my AI avatar) introduce the bootcamp to the class of November, 2025
Throughout the bootcamp we will use the FRAME™️ methodology -- a groundbreaking approach proven to leverage the benefits of AI while mitigating its risks.
Learn more here.


£995
GBP
5 cohorts