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Schița de curs
Introduction to Vertex AI for the Enterprise
- Enterprise AI requirements and challenges
- Vertex AI enterprise features overview
- Use cases in regulated industries
Setting Up Enterprise MLOps Pipelines
- Integrating Vertex AI with CI/CD workflows
- Automation and orchestration
- Hands-on lab: building a deployment pipeline
Monitoring and Observability
- Live model monitoring and alerting
- Model performance dashboards
- Hands-on lab: setting up monitoring workflows
Grounding and Gen AI Evaluation
- Grounding models with enterprise data
- Gen AI evaluation libraries and tools
- Hands-on lab: implementing evaluation workflows
Compliance and Governance in Vertex AI
- Data residency and access control features
- Auditability and traceability
- Hands-on lab: configuring compliance policies
Scaling and Enterprise Integration
- Scaling Vertex AI deployments
- Integration with enterprise systems and APIs
- Hands-on lab: enterprise-scale deployment
Case Studies and Best Practices
- Success stories in financial services, healthcare, and public sector
- Lessons learned in enterprise adoption
- Best practices for long-term operations
Summary and Next Steps
Cerințe
- Experience with deploying ML models in production
- Familiarity with CI/CD pipelines
- Understanding of data governance and compliance frameworks
Audience
- MLops engineers
- Platform teams
- Compliance leads
14 ore
