Seven self-paced modules take you from why data determines AI success through to the infrastructure that runs it. Work through each module — complete its checks and tasks — then take the final exam to earn your certificate.
Why data — not the model — determines AI success.
Aligning AI initiatives with strategy before technology.
The end-to-end data lifecycle, from collection to retirement.
Data considerations specific to machine learning.
Foundation models: prompting, APIs, RAG and context engineering.
Tools, talent and delivery paths for building AI.
Infrastructure, hosting and HPC for AI workloads.
🔓 The final exam is open — start whenever you're ready.
Start the final exam →