Webinar: Accelerate Your Success with AI Transformation
Explore the AI Transformation Specialist Apprenticeship (Level 4)

Webinar details
Want to launch or accelerate your career in AI transformation?
Join our AI Transformation Specialist Apprenticeship webinar to explore how you can gain hands-on experience in AI strategy, implementation, and AI transformation. Develop in-demand skills in managing AI-driven projects and earn while you learn - all with expert guidance and industry-recognised training.
Why Attend?
Whether you're looking to start a new career or enhance your existing skills, the AI Transformation Specialist Apprenticeship empowers you to identify high-impact opportunities for AI implementation, manage complex AI projects, and lead organisational change. Gain hands-on experience in analysing business processes, translating user requirements into AI-driven solutions, and implementing ethical AI practices - skills that are essential for futureproofing your career and delivering guaranteed ROI for your organisation in the rapidly evolving AI era.
Date & Time:
📅 Date: 27 May 2025
⏰ Time: 12 pm to 12.30 pm [BST]
Agenda:
Attend this webinar if you are:
- An aspiring AI transformation specialist seeking to enter the field.
- A Professional aiming to upskill and transition into an AI transformation role.
- A HR or Learning & Development professional seeking to upskill your workforce and empower them with AI expertise.
About Apprenticeships
Apprenticeships provide a well-defined route for internal talent development in England*. Apprenticeships are available to both new and existing employees who work 30 hours or more per week. Funded by the Apprenticeship Levy, apprenticeships are a cost-effective way to upskill employees in analytics, data science and AI.
*If not employed in England, apprenticeships can be funded commercially.

Elle Neal, Data Scientist at BPA Quality
“Doing the apprenticeship has helped me glue everything together and fill the gaps in the knowledge I had to make me more confident in delivering the data science models I want to create.”