All programmesApplied AI & Engineering
Data Engineering, Cloud & MLOps
Engineer dependable data pipelines, operate cloud data platforms and make machine-learning workflows reproducible and observable.
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Capabilities to practise and demonstrate.
Technical graduates, developers, data analysts and IT professionals building toward data platform, cloud and ML operations roles.
Learning focus
Advanced SQL and PythonData modelling and warehouse designETL/ELT and orchestrationCloud IAM, storage and computeContainers and infrastructure automationMLOps, CI/CD, monitoring and governance
Portfolio and outcome evidence
Orchestrated ingestion pipeline
Tested analytics warehouse
Cloud-hosted data platform
Reproducible ML pipeline with monitoring
Source document
TIFES_Data_Engineering_Cloud_MLOps_Brochure.html. The original supplied brochure/curriculum is preserved in the project at content/source-documents. Exact module sequencing and delivery details should be confirmed from that source before cohort launch.