From data literacy and responsible AI for the whole workforce to Python, analytics and machine-learning pathways for specialist teams; our training is benchmarked first, so your upskilling strategy starts from what your people can and can't already do.
AI and data readiness isn't just about tools; it needs to demonstrate that your people can use them in a safe, compliant, and effective way.
Too often, board-approved AI strategies include vague upskilling plans while unmanaged chatbot use creates immediate compliance risks and talent shortages stall progress.
In a regulated business, missing skills slow your roadmap while ungoverned AI invites regulatory scrutiny.
Unlike attendance-only courses, our training tests real competence. Pre- and post-course benchmarking delivers the auditable evidence leadership needs to satisfy regulators and execute your AI strategy safely.
The benchmark decides who sits in which track, and the two report as one programme.
Practical data literacy and AI training for every non-technical team. We teach staff what AI tools can be trusted with, what to keep private, and how your policy works in practice—delivering the workforce training most strategies skip and the governance proof regulators require.
Technical pathways for builder teams: from Power BI, Fabric, SQL, and Python through to Azure, AWS data engineering, and specialist ML certifications. Teams learn via hands-on labs with integrated, in-browser coding powered by Codecademy.
Data & AI literacy don't exist in a vacuum
For all businesses, data and AI will intersect strongly with their cloud infrastructure and compliance frameworks. Our training courses can be adapted and integrated to fill the exact knowledge and skills gaps your teams have.
Learn more about our training in:
corporate clients trusted us with their training
learners supported worldwide
in tech and business skills training
building model and data literacy under regulated-AI scrutiny.
delivering data-led modernisation with in-house skills instead of contractor day rates.
lifting analytics maturity without adding data risk.
using Python and forecasting to work the maintenance backlog.
Every program starts with a clear benchmark. We measure basic data literacy across your wider workforce and technical skills within specialist teams, evaluating both against your actual project roadmap.
We then run tailored training pathways, manage delivery, and re-assess progress to give leadership clear, board-ready metrics.
The AI budget usually exists; it's just all allocated to tools. The business-case template makes the people line concrete, and the upskill-vs-hire comparison covers the data-engineer vacancy you've been re-advertising.
A free 30-minute consultation with us will benchmark data and AI capability across your workforce and specialist teams, and map the pathways between where you are and what the roadmap still needs.
