Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to Vertex AI for the Enterprise
- 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 processes
- Practical lab: Constructing a deployment pipeline
Monitoring and Observability
- Real-time model monitoring and alerting mechanisms
- Model performance dashboards
- Practical lab: Implementing monitoring workflows
Grounding and Gen AI Evaluation
- Grounding models with enterprise data
- Gen AI evaluation libraries and tools
- Practical lab: Executing evaluation workflows
Compliance and Governance in Vertex AI
- Data residency and access control functionalities
- Auditability and traceability
- Practical lab: Setting up 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 long-term operations
Summary and Next Steps
Requirements
- Experience in deploying ML models in production environments
- Familiarity with CI/CD pipelines
- Knowledge of data governance and compliance frameworks
Target Audience
- MLOps engineers
- Platform teams
- Compliance leads
Testimonials (1)
easy steps in ML