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Duration 14 hours
Course Outline
Introduction to Vertex AI for Enterprise Applications
- Enterprise AI requirements and associated challenges
- Overview of Vertex AI enterprise features
- Use cases within regulated industries
Configuring Enterprise MLOps Pipelines
- Integrating Vertex AI with CI/CD workflows
- Automation and orchestration strategies
- Practical lab: constructing a deployment pipeline
Monitoring and Observability
- Live model monitoring and alerting mechanisms
- Model performance dashboards
- Practical lab: implementing monitoring workflows
Grounding and Gen AI Evaluation
- Grounding models using enterprise data
- Gen AI evaluation libraries and tools
- Practical lab: implementing evaluation workflows
Compliance and Governance in Vertex AI
- Data residency and access control capabilities
- Auditability and traceability
- Practical lab: configuring compliance policies
Scaling and Enterprise Integration
- Scaling Vertex AI deployments
- Integration with enterprise systems and APIs
- Practical lab: enterprise-scale deployment
Case Studies and Best Practices
- Success stories from financial services, healthcare, and the public sector
- Insights gained from enterprise adoption
- Best practices for sustained operations
Summary and Next Steps
Requirements
- Experience in deploying ML models into production environments
- Knowledge of CI/CD pipelines
- Comprehension of data governance and compliance frameworks
Target Audience
- MLOps engineers
- Platform teams
- Compliance leads
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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