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Course Outline
Introduction to Private AI with Ollama for Government
- Overview of Ollama’s role in government enterprise AI
- Benefits of running AI models privately within government agencies
- Comparison with cloud-based AI solutions for government
Setting Up a Secure AI Infrastructure for Government
- Deploying Ollama on on-premise and self-hosted servers within government data centers
- Configuring access controls and authentication protocols to ensure secure access
- Implementing encryption for AI model data to protect sensitive information
Deploying AI Models in a Private Environment for Government
- Loading and managing large language models (LLMs) locally within government systems
- Optimizing performance for private deployments to meet the needs of government operations
- Ensuring AI model version control and updates to maintain accuracy and reliability
Building Secure AI Workflows for Government
- Designing AI-driven automation pipelines that align with public sector workflows
- Integrating Ollama with government enterprise applications to enhance efficiency and effectiveness
- Ensuring compliance with security and governance policies for government operations
Optimizing AI Model Performance and Efficiency for Government
- Leveraging GPU acceleration for high-speed processing in government environments
- Fine-tuning AI models for private workloads specific to government tasks
- Monitoring and maintaining AI performance to ensure consistent service delivery
Ensuring Compliance and Data Privacy for Government
- Best practices for enterprise AI security in the public sector
- Data retention policies for private AI models used by government agencies
- Regulatory compliance considerations (GDPR, HIPAA, etc.) for government operations
Scaling Private AI Workflows for Government
- Expanding AI capabilities in large government enterprises to enhance service delivery
- Hybrid approaches combining private and cloud AI solutions to optimize resource utilization
- Future trends in private AI deployment for government agencies
Summary and Next Steps for Government
Requirements
- Experience with the deployment and management of AI models for government applications
- Familiarity with network security and access control protocols for government systems
- Understanding of enterprise automation and DevOps practices for government operations
Audience
- Enterprise architects designing AI-powered workflows for government agencies
- Security analysts ensuring compliance and data privacy in government environments
- Automation engineers integrating AI into business operations for government entities
14 Hours
