Take Learning Design From Brief To Delivery In Hours, Not Weeks.
AI training for L&D teams ready to put AI to work across every stage of the learning design process, from analysis through to evaluation.








What Changes When L&D Teams Build Real AI Skills
4.6hrs
100%
productivity
100%
confidence

AI Training For L&D Teams
Our three L&D programs meet teams where they are, from L&D functions aligning on the basics, to teams putting AI to work across the ADDIE cycle, to teams building agents that handle routine design work.
Each one designed for a different stage of AI readiness. Choose where your team is now and build from there. The people capability you develop here is what makes AI transformation possible.
Explore
Build the AI confidence and shared language teams need to start using tools well.
Apply
Build the skills to use AI in the workflows where it delivers measurable ROI.
Transform
Embed AI into how the business operates, at scale, across every function.

1.Explore:
AI Foundations

2.Apply:
AI for L&D Mini Lab

3.Transform:
Building AI agents for L&D

practical learning
& resources
delivery


Alvaro Garcia Barba
Expert-led AI training,
built for HR teams
Transparent Pricing for L&D Teams
£5,000
/ cohort
£6,000
/ cohort
£8,000
/ cohort
€5,800
/ cohort
€6,900
/ cohort
€9,400
/ cohort
$6,300
/ cohort
$7,600
/ cohort
$10,000
/ cohort
FAQs
What is the difference between AI for L&D Mini Lab and Building AI Agents for L&D?
AI for L&D Mini Lab (Level 2) applies AI across the full ADDIE cycle to accelerate analysis, design, content authoring, and evaluation. Building AI Agents for L&D (Level 3) goes further: teams design and deploy AI agents that automate repeatable L&D work, connect to existing tools, and free time for the strategic, human work.
Who is AI for L&D training designed for?
L&D teams expected to deliver more programs faster, with tighter budgets, and the cross-functional partners who support them. Programs are designed for instructional designers, learning technologists, facilitators, L&D managers, and L&D leaders.
How long does AI training for L&D take?
AI Foundations runs as a 2-hour virtual session. The AI for L&D Mini Lab is a 3.5-hour workshop, virtual or face-to-face. Building AI Agents for L&D runs across two 3.5-hour sessions, with an application task in between. Most teams start with one level and scale from there.
How much does AI training for L&D cost?
AI training for L&D starts from £5,000 / $6,300 per cohort for AI Foundations. Pricing scales with program level, team size, and delivery format. Final proposals are tailored to your team.
Who typically delivers corporate AI training workshops?
Workshops are delivered by a mix of in-house trainers and specialist facilitators, all with hands-on experience applying AI in professional environments. Trainers are selected based on their subject matter relevance to the audience.
How long does it take to plan and deliver AI training for a company?
From initial conversation to first workshop, Edifai's typical timeline is six weeks. This covers scoping, needs analysis, and scheduling.
Can AI training for businesses be customized or is it always off the shelf?
Every program starts with a proven core curriculum that has been developed and refined across multiple organizations, then customized to reflect the client's specific tools, workflows, terminology, and business priorities. Clients get the benefit of structured, tested content without receiving something generic.
What AI tools are covered in workplace AI training programs?
We cover the AI tools most commonly used in professional environments, including ChatGPT, Microsoft Copilot, and Google Gemini. Where organizations use additional or company-specific AI tools, these can be incorporated into the program. Tools are tailored by function, so participants always train on tools directly applicable to their day-to-day work.
How do companies measure whether AI training has worked?
Edifai measures training effectiveness using a combination of pre and post-program assessments to establish a baseline of AI confidence and capability across the team. Post-assessments then measure the shift that participants can report against.
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