KML Consulting
KML Consulting
The critical foundation of all AI. Before jumping to LLMs, you must understand data processing, feature engineering, and training algorithms that constitute 90% of enterprise AI use cases today.
Build an end-to-end automated ML pipeline that ingests raw customer data, trains an XGBoost model, evaluates metrics, and deploys via FastAPI.
An intense, week-by-week breakdown designed for deep technical mastery.
Data is the new oil, but it needs refining.
Clean and engineer a messy 10GB dataset for training.
Classification, regression, and clustering algorithms.
Build a high-accuracy churn prediction model for a SaaS dataset.
Teaching machines to read before the Transformer era.
Create a fast intent-classification system for customer support tickets.
Knowing when your model is lying to you.
Audit a hiring algorithm for gender and demographic bias.
Getting your model out of the Jupyter notebook.
Deploy your churn model as a scalable REST API.
Sarah has led ML teams in quantitative finance and health tech, specializing in predictive modeling and structured data.
Secure your position in our next 6-week elite cohort. Limited slots available.
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