Big Data Technology & Tools for Non-Technical Leaders. Industry expert insights on IoT, AI and Machine Learning for all.
InstructorJulia Mariasova
The curriculum covers a wide range of machine learning concepts, including classification, regression, clustering, and various neural network architectures like CNNs and GANs.
Editorial course preview
This view highlights a concrete, legible example from the course presentation.
This architectural diagram outlines the key layers of big data technology, ranging from data ingestion and storage to processing and visualization.
Case studies provide practical context for how big data and AI are applied in sectors such as manufacturing, healthcare, logistics, and real estate.
The instruction is non-technical and does not include coding or development exercises, focusing instead on high-level concepts.
One signal indicates that the video material may be aging; while a recent update covers Generative AI, this update does not prove the entire core curriculum has been refreshed. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
The curriculum aligns well with the goal of providing a non-technical overview for leaders and interested professionals.