More Hires. Better Policies. Sharper People Data. AI Helps HR Deliver All Three.
AI training for HR for workflows across hiring, engagement, data analysis, and more.
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What Changes When HR Teams Build Real AI Skills
3.3hrs
100%
productivity
100%
confidence

AI Training for HR Teams
Our three AI programs are designed to accelerate the HR function: hiring, screening, engagement, analysis and more.
Choose your team’s level of AI readiness and build from there. The 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 HR Mini Lab

3.Transform:
Building AI agents for HR

practical learning
& resources
delivery


Maria Weicker
Expert-Led AI Training, Built for HR Teams
Transparent Pricing for HR 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
How is this different from just using ChatGPT ourselves?
Most teams that try to self-teach AI end up with patchy adoption - a few individuals experimenting, no shared standards, and no way to scale what's working. Our AI training for HR programs build structured capability across your whole team, with frameworks your function can use consistently. You'll leave with practical skills, a clear roadmap, and governance guardrails, not just a ChatGPT login.
How much does AI training for an HR team cost?
Programs start from £5,000 / $6,300, with pricing based on team size, program level, and delivery format (virtual or in-person). Book a 30-minute call and we’ll put together a proposal based on your specific needs.
What should we look for in an AI training provider?
The best providers focus on building genuine capability rather than delivering awareness sessions that don't change behavior. Look for a structured, tested curriculum; facilitators with real-world AI experience; and a clear approach to measuring whether the training has actually worked. Training that doesn't change how people work isn't training, it's information.
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.
What types of companies offer AI training for business teams?
AI training is delivered by a range of providers, from large generalist platforms to boutique specialists. Edifai sits in a distinct category: a specialist provider built specifically for organizations that need training tailored to their tools, workflows, and teams, not generic content adapted from a standard catalog.
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.



