Custom and Distributed Training with TensorFlow

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The Custom and Distributed Training with TensorFlow program is a non-degree course for students who want to learn advanced TensorFlow features. It's taught in English and lasts several weeks. The main advantage is that it helps students build custom training loops and harness the power of distributed training.

The curriculum includes 4 modules that cover Tensor objects, custom training loops, graph mode, and distributed training strategies. Students will learn how to use GradientTape and TensorFlow Datasets to gain more flexibility and visibility with their model training.

After completing this program, students can pursue careers as Machine Learning Engineers, Software Engineers, Data Scientists, or AI Researchers in the technology industry. They can work for companies like Google, Amazon, or Microsoft, or start their own machine learning startups.