CourseAI / ML Engineer: The Complete Course · Module 7: Training at Scale · part 43 of 93
Part 43 · Module 7: Training at Scale

Module 7: Training at Scale

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What you need first

  • What a parameter, a batch and an optimiser are (Module 4 lesson 1), a PyTorch training loop (Module 4 lesson 2) and profiling Python (Module 2 lesson 1). The lab's Step 1 rebuilds Modules 1 to 6.
  • No GPU and no keys: two CPU processes stand in for two GPUs; a free Colab T4 adds one optional measurement.
  • If you can already budget GPU memory, run DDP and resume from checkpoints, go to the lab.

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