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00:00 Introduction and Speaker Background
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Classroom Contents
Engineering Scalable ML Infrastructure for Modern Apps
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- 1 00:00 Introduction and Speaker Background
- 2 00:23 Overview of AI Native Platforms
- 3 00:56 Infrastructure Imperatives for AI
- 4 01:55 Understanding AI Workload Characteristics
- 5 02:44 Data Pipelines in AI
- 6 03:30 Infrastructure Patterns for Scalable Model Training
- 7 04:15 Resource Management Challenges
- 8 04:50 GPU and CPU Optimization
- 9 05:32 Data Pipeline Architectures
- 10 06:12 Observability and Monitoring for AI
- 11 06:50 Real World Implementation Patterns
- 12 07:37 Performance Optimization
- 13 08:13 Security and Governance in AI Platforms
- 14 08:50 Future Trends in AI Infrastructure
- 15 09:30 Building the Roadmap for AI Innovation
- 16 09:56 Key Takeaways and Conclusion
