Artificial Intelligence and Machine Learning have become central techniques for most services and products, ranging from web-based systems to medical procedures, self-driving cars – even intelligent coffee makers.
Alongside algorithms, data is central to AI applications. Without solid data management, AI projects typically underperform or even fail. Unfortunately, the relevance and complexity of handling data is frequently underestimated.
That’s why we developed this course which covers foundational questions like “Why is data important to AI?” and “What data does AI need?” and covers more application-oriented topics and skills like how to extract, load and query data using an SQL pipeline.Read more.
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The techniques and tools covered in AI Skills for Engineers: Data Engineering and Data Pipelines are most similar to the requirements found in Data Scientist job advertisements.