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00:00 Introduction and Speaker Background
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Classroom Contents
MLOps at Scale
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- 1 00:00 Introduction and Speaker Background
- 2 00:58 The Importance of ML Ops
- 3 02:27 Challenges in Traditional ML Projects
- 4 03:52 What is ML Ops?
- 5 04:48 ML Ops in the Era of Large Language Models
- 6 06:31 ML Ops Lifecycle
- 7 07:53 Automation in ML Ops
- 8 08:53 CICD for ML and Large Language Models
- 9 09:54 Governance and Responsible AI
- 10 10:49 Monitoring and Best Practices
- 11 12:19 Conclusion and Call to Action
