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Course Outline
Introduction to Vertex AI for Government and Enterprise
- Enterprise and government AI requirements and challenges
- Overview of Vertex AI features for enterprise use
- Use cases in regulated industries, including public sector applications
Setting Up MLOps Pipelines for Government and Enterprise
- Integrating Vertex AI with CI/CD workflows for government and enterprise environments
- Automation and orchestration of machine learning operations
- Hands-on lab: building a deployment pipeline for government and enterprise
Monitoring and Observability in Government and Enterprise
- Live model monitoring and alerting for enhanced governance
- Model performance dashboards to ensure operational transparency
- Hands-on lab: setting up monitoring workflows for government and enterprise
Grounding and Evaluating Generative AI Models for Government and Enterprise
- Grounding models with enterprise and government data
- Evaluation libraries and tools for generative AI in regulated environments
- Hands-on lab: implementing evaluation workflows for government and enterprise
Compliance and Governance in Vertex AI for Government and Enterprise
- Data residency and access control features to meet regulatory requirements
- Auditability and traceability to ensure compliance
- Hands-on lab: configuring compliance policies for government and enterprise
Scaling and Integrating Vertex AI in Government and Enterprise
- Strategies for scaling Vertex AI deployments in large organizations
- Integration with existing government and enterprise systems and APIs
- Hands-on lab: deploying at scale for government and enterprise
Case Studies and Best Practices for Government and Enterprise
- Success stories in financial services, healthcare, and public sector organizations
- Lessons learned from enterprise adoption of AI solutions
- Best practices for long-term operations and sustainability
Summary and Next Steps for Government and Enterprise
Requirements
- Experience in deploying machine learning models in production environments for government and other sectors.
- Familiarity with continuous integration/continuous deployment (CI/CD) pipelines to ensure efficient and reliable model updates.
- Understanding of data governance and compliance frameworks to meet regulatory requirements and maintain data integrity.
Audience
- Machine Learning Operations (MLOps) engineers responsible for model deployment and maintenance.
- Platform teams tasked with supporting scalable and secure infrastructure for government projects.
- Compliance leads ensuring adherence to regulatory standards and best practices in data management.
14 Hours
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.
