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00:00 Introduction and Speaker Background
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Classroom Contents
MLOps at Scale - AI Systems for HR Transformation
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- 1 00:00 Introduction and Speaker Background
- 2 01:17 Overview of ML Ops Architecture
- 3 02:23 HR AI Production Challenges
- 4 03:29 Production ML Ops Architecture
- 5 04:33 ML Ops Pipeline Workflow
- 6 05:40 Model Performance and Monitoring
- 7 06:40 Continuous Feedback and Improvement
- 8 07:32 Data Engineering for HR AI
- 9 09:25 Scalability Strategies
- 10 11:00 Operational Excellence and Governance
- 11 12:32 Key Takeaways and Conclusion
