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CompareCPU and GPU Engineering for AI
LevelIntermediate
Duration12–18 hours
FormatSelf-paced course
AccessPremium access
Skillsparallelism, cores, vectorized operations, CPU/GPU handoff, device placement, CUDA runtime, kernels at a high level, device synchronization, PyTorch CUDA APIs, weights, gradients, optimizer state, activations, batch size, VRAM pressure, samples/sec, tokens/sec, latency, warm-up, synchronization, batching effects, timers, repeated runs, warm-up, CPU/GPU comparisons, batch-size sweeps, memory measurement, remote/local execution, GPU selection, job isolation, environment reproducibility, basic utilization monitoring
Modules6
PrerequisitesPyTorch basics
AssessmentCourse assessment
CertificateCompletion requirements apply