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Computer Vision Engineering
Distributed Machine Learning Engineering: Scalable AI Systems, GPU Computing & High-Performance Model Training
Curriculum
1 Section
10 Lessons
5 Weeks
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Distributed Machine Learning Engineering
Description Understand distributed computing principles including cluster architecture, parallel execution, workload scheduling, resource allocation, distributed storage, fault tolerance, and enterprise AI infrastructure design. Lessons Introduction to Distributed Computing Cluster Architecture Parallel Computing Concepts Distributed Storage Fault Tolerance Resource Scheduling
10
1.1
Introduction to Distributed Computing
1.2
GPU Computing & CUDA Programming
1.3
Distributed Deep Learning
1.4
PyTorch Distributed Engineering
1.5
ensorFlow Distributed Strategy
1.6
Ray, Horovod & Large-Scale AI
1.7
Kubernetes & Cloud AI Infrastructure
1.8
Distributed Inference & Model Optimization
1.9
Monitoring, Observability & MLOps
1.10
Enterprise Capstone Project
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