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Intel AI Academy – Deep Learning with BigDL


Bridging the gap between big data and AI, BigDL is a distributed deep learning framework built on Apache Spark*. This course takes you through the basics of AI to building professional systems using this easy-to-use framework. Topics include:

  • An introduction to deep learning terminology and network models
  • How to combine the power of big data and AI
  • How to use the high-level APIs included in the framework to easily build with BigDL

This course provides you with practical knowledge of the following topics:

  • Underlying frameworks that run BigDL, such as Apache Spark and Docker*
  • How to use BigDL and Analytics Zoo to create powerful AI applications
  • The different neural network architectures to use for types of tasks

The course is structured around 10 weeks of lectures and exercises. Each week requires one hour to complete.

Prior Knowledge

  • Python programming
  • Calculus
  • Linear algebra

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