Catalog · Nexora

Machine Learning beginner

Machine Learning Foundations with scikit-learn

The honest introduction: how to frame a problem, build a baseline, and know when your model is fooling you. Linear and tree-based models, proper cross-validation, leakage detection, class imbalance, and calibration. Every concept is implemented on real tabular data rather than a toy dataset.

SD Sofia Duarte 4.8

$49.00

18 hours

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Machine Learning

Machine Learning advanced

MLOps: Shipping Models That Survive Contact With Users

Experiment tracking, model registries, reproducible training pipelines, shadow deployments, drift detection and automated rollback. You will build a pipeline where a retrained model cannot reach production without passing evaluation gates, and where a bad deploy is detected in minutes rather than quarters.

AR Ahmed Rahal 4.7

$119.00

20 hours

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Cloud

Cloud intermediate

Infrastructure as Code with Terraform

Declarative infrastructure that a team can share. State management and locking, module design and composition, workspaces versus directories, importing existing resources, plan review as a code-review artefact, and drift detection in CI.

KM Kwame Mensah 4.6

$85.00

14 hours

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Deep Learning

Deep Learning intermediate

Computer Vision in Production

Classification, detection and segmentation with modern backbones, then the parts tutorials skip: data augmentation that reflects real distribution shift, annotation quality control, ONNX export, quantised inference at the edge, and monitoring for the day your camera angle changes.

LM Lucas Meyer 4.5

$89.00

16 hours

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