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09:32 Stage 3: Deployment and Serving
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Classroom Contents
Securing AI Pipelines from Development to Production
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- 1 00:00 Introduction and Speaker Background
- 2 00:23 The New Battlefield: ML Ops Security Challenges
- 3 01:53 Agenda Overview
- 4 02:35 Defining the Core Problem
- 5 03:52 Hidden Threats in ML Ops
- 6 05:03 Introducing Zero Trust
- 7 06:21 Implementing Zero Trust in ML Lifecycle
- 8 07:04 Stage 1: Securing Data Preparation
- 9 08:08 Stage 2: Model Training and Validation
- 10 09:32 Stage 3: Deployment and Serving
- 11 10:43 Stage 4: Monitoring and Governance
- 12 12:46 Real-World Impact and Case Studies
- 13 13:57 Actionable Steps to Begin
- 14 15:05 Tools and Common Pitfalls
- 15 17:17 Core Takeaways and Conclusion
