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Interactive course covering NemoClaw orchestration, OpenShell sandboxing, five security layers, and LangChain DeepAgents — 10 lessons with Mermaid diagrams and quizzes.

Lessons from building multi-agent workflows for enterprise data migration at EXL — conditional routing, DeepEval scoring, human-in-the-loop correction, and self-improving feedback loops.

Applying SMOTENC, PCA, and ensemble models (Random Forest, XGBoost, MLP) to predict ICU mortality across the MIMIC-III and eICU global datasets. MLP achieved 0.89 recall, outperforming APACHE.