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Duration 14 hours
Course Outline
Introduction to Vertex AI for the Enterprise
- Key requirements and challenges in enterprise AI
- Overview of Vertex AI enterprise features
- Use cases within regulated industries
Establishing Enterprise MLOps Pipelines
- Integrating Vertex AI with CI/CD workflows
- Automation and orchestration strategies
- Practical lab: constructing a deployment pipeline
Monitoring and Observability
- Real-time model monitoring and alert systems
- Performance dashboards for model analysis
- Practical lab: configuring monitoring workflows
Grounding and Gen AI Evaluation
- Grounding models using enterprise datasets
- Evaluation libraries and tools for Gen AI
- Practical lab: implementing evaluation workflows
Compliance and Governance in Vertex AI
- Features for data residency and access management
- Ensuring auditability and traceability
- Practical lab: setting up compliance policies
Scaling and Enterprise Integration
- Scaling Vertex AI deployments
- Integration with corporate systems and APIs
- Practical lab: executing enterprise-scale deployments
Case Studies and Best Practices
- Success stories from financial services, healthcare, and the public sector
- Key takeaways from enterprise adoption
- Best practices for sustained operational management
Summary and Next Steps
Requirements
- Proven experience in deploying ML models to production environments
- Familiarity with CI/CD pipelines
- Knowledge 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 3200 € + VAT*
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