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AI TRAINING
Data foundations for AI
Build the data plumbing your AI projects will actually need.
What it covers
A practitioner-level course for ops, IT and analytics leads on the data engineering and governance work that has to come before any serious ML or LLM project. Includes a maturity self-assessment and a 90-day plan.
What you'll be able to do
- A data maturity baseline for your org
- A prioritised 90-day data improvement backlog
- Confidence to brief a vendor or hire on data foundations
Topics covered
- Source-of-truth design across CRM/ERP/warehouse
- Lightweight data quality monitoring
- Privacy & GDPR essentials for ML data
- Picking the right data warehouse
- Tagging and metadata for AI features
Delivery
Best paired with a real project as the running case study.
What makes it work
- Leadership commitment to ringfence time on the 90-day plan
Common mistakes
- Treating it as a one-off course rather than ongoing capability building
When NOT to take this
Skip if you have a mature data team, they'll be bored.
Providers to consider
- Altitud Consulting
This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.