AI Skills for Engineers: Data Engineering and Data Pipelines

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Explore the pivotal world of AI and embark on a journey through data engineering and data pipelines with our comprehensive course. In today's technology-driven landscape, Artificial Intelligence and Machine Learning are not just buzzwords but foundational elements propelling innovations in various fields, from sophisticated web services to revolutionary medical treatments and autonomous vehicles.

At the heart of these technological marvels lies the unsung hero - Data.

Understanding that effective data management is a cornerstone for successful AI applications, this course is meticulously designed to answer critical questions such as "Why is data crucial for AI?" and "What kind of data does AI necessitate?". Go beyond the basics and dive into practical aspects, learning how to adeptly manage data through SQL pipelines - from data extraction and loading to querying.

The latter section of the course is devoted to equipping you with essential data engineering skills.

Learn how to configure your Python notebook environment, unravel the complexities of data using advanced pandas techniques, and present your findings through succinct and insightful data visualizations.

Geared towards novices with minimal exposure to data management or Python, this introductory course lays a solid foundation in data management for AI, relational data management (including SQL), alongside hands-on data manipulation skills leveraging Python, pandas, and Jupyter. This is your first step towards paving a path for future AI and Machine Learning endeavours using Python.

Offered by the prestigious Delft University of Technology and available on edX, this course spans across various categories, including Artificial Intelligence, Python, Big Data, pandas, Data Visualization, SQL, Seaborn, and Jupyter Notebooks, making it a must-enroll for aspiring AI enthusiasts.

Enseigné par

Christoph Lofi and Junzi Sun

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