AI & Data Science Training
- Core data science: EDA, feature engineering, modelling, and evaluation that holds up
- MLOps: packaging, CI/CD, reproducibility, monitoring, and sensible deployment patterns
- LLMs: RAG, prompt/agent patterns, evaluation, and guardrails (practical, not hype)
- Team enablement: best practices, templates, and coaching to raise the baseline