Philip Orlando

Recipients of Uplimit Python for Production completion certificates have gained a holistic overview of the fundamental concepts of Python to use in production including Python data structures, APIs and testing, concurrency, and logging and monitoring.

Certification criteria:

Actively participated in Uplimit's dynamic course on Python for Production: attended lectures, applied discussions with industry leaders, and more.

Obtained the knowledge to use and apply advanced python concepts such as generators, comprehension, higher order functions, classes, requests, unit tests, multithreading, multiprocessing, logging, monitoring, and more.

June 11, 2023 Instructor: Wendy Wei

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Developed familiarity with case studies in advanced python and analyzed how to use these applications in the real world!

Recipients of Uplimit Data Engineering with Dagster have learned how to design, build, and maintain a data platform that supports a wide range of data tasks. They started by taking a simple data workflow, common to most companies, and deconstructing it to its core components. By the end of the course, they reimplemented the pipeline using modern data frameworks, running in the cloud.

Certification criteria:

Actively participated in Uplimit's dynamic course on Data Engineering with Dagster: attended lectures, lab sessions, Fireside Chats with industry leaders, and more.

Deconstructed a simple data pipeline into its components can that be tested locally within Docker; Implemented a data pipeline from into a robust workflow using Dagster and leveraging its core abstractions; Built a Dagster project backed by assets and a practical data mesh

Included their data workflow as one of many in a fully functional Dagster project and the multiple ways to execute workflows

May 1, 2023 Instructor: Dennis Hume

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