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Course Outline
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
Requirements
- 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 Hours
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 3200 € + VAT*
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Testimonials (1)
Overall, the training was very informative, the trainer provided different use case scenario and exercises so we can be familiarized with the Vertex AI application.
