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 Duration 14 hours

Course Outline

Introduction to Vertex AI in the Enterprise

  • Key AI requirements and challenges in enterprise settings
  • Overview of enterprise-specific Vertex AI features
  • Applicability in regulated industries

Building Enterprise MLOps Pipelines

  • Integrating Vertex AI into existing CI/CD workflows
  • Implementing automation and orchestration
  • Practical exercise: constructing a deployment pipeline

Monitoring and Observability

  • Configuring live model monitoring and alert systems
  • Creating model performance dashboards
  • Practical exercise: establishing monitoring workflows

Grounding and Gen AI Evaluation

  • Grounding models with enterprise-specific data
  • Utilizing Gen AI evaluation libraries and tools
  • Practical exercise: executing evaluation workflows

Compliance and Governance in Vertex AI

  • Leveraging data residency and access control capabilities
  • Ensuring auditability and traceability
  • Practical exercise: setting up compliance policies

Scaling and Enterprise Integration

  • Expanding Vertex AI deployments at scale
  • Connecting with enterprise systems and APIs
  • Practical exercise: managing enterprise-scale deployments

Case Studies and Best Practices

  • Success stories from financial services, healthcare, and the public sector
  • Insights gained from enterprise adoption journeys
  • Best practices for sustained long-term operations

Summary and Future Pathways

Requirements

  • Proven experience in deploying machine learning models to production environments
  • Working knowledge of CI/CD pipelines
  • Foundational understanding of data governance and compliance frameworks

Target Audience

  • MLOps Engineers
  • Platform Engineering Teams
  • Compliance Officers and Leads

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