Get in Touch
 Duration 14 hours

Course Outline

Introduction to Vertex AI for Enterprise Applications

  • Key requirements and challenges in enterprise AI
  • Overview of Vertex AI enterprise capabilities
  • Applications in highly regulated industries

Configuring Enterprise MLOps Pipelines

  • Integrating Vertex AI with CI/CD workflows
  • Strategies for automation and orchestration
  • Practical exercise: constructing a deployment pipeline

Monitoring and Observability

  • Real-time model monitoring and alerting systems
  • Creating model performance dashboards
  • Practical exercise: establishing monitoring workflows

Grounding and Gen AI Evaluation

  • Anchoring models with enterprise data
  • Using Gen AI evaluation libraries and tools
  • Practical exercise: implementing evaluation workflows

Compliance and Governance in Vertex AI

  • Features for data residency and access control
  • Ensuring auditability and traceability
  • Practical exercise: configuring compliance policies

Scaling and Enterprise Integration

  • Scaling Vertex AI deployments
  • Connecting with enterprise systems and APIs
  • Practical exercise: enterprise-scale deployment

Case Studies and Best Practices

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

Conclusion and Future Pathways

Requirements

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

Target Audience

  • MLOps engineers
  • Platform teams
  • Compliance leaders

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories