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Course Outline
Introduction to Ollama for LLM Deployment for Government
- Overview of Ollama’s capabilities for government applications
- Advantages of local AI model deployment in the public sector
- Comparison with cloud-based AI hosting solutions for government use
Setting Up the Deployment Environment for Government
- Installing Ollama and required dependencies for government systems
- Configuring hardware and GPU acceleration to meet government standards
- Dockerizing Ollama for scalable deployments in government environments
Deploying LLMs with Ollama for Government
- Loading and managing AI models for government workflows
- Deploying Llama 3, DeepSeek, Mistral, and other models for government use cases
- Creating APIs and endpoints for secure AI model access in government applications
Optimizing LLM Performance for Government
- Fine-tuning models for efficiency in government operations
- Reducing latency and improving response times for government services
- Managing memory and resource allocation to meet government performance standards
Integrating Ollama into AI Workflows for Government
- Connecting Ollama to applications and services within the public sector
- Automating AI-driven processes for enhanced government efficiency
- Using Ollama in edge computing environments for government operations
Monitoring and Maintenance for Government
- Tracking performance and debugging issues to ensure reliable government service delivery
- Updating and managing AI models to maintain government compliance
- Ensuring security and compliance in AI deployments within the public sector
Scaling AI Model Deployments for Government
- Best practices for handling high workloads in government environments
- Scaling Ollama for enterprise use cases in the public sector
- Future advancements in local AI model deployment for government operations
Summary and Next Steps for Government
Requirements
- Basic experience with machine learning and artificial intelligence models for government
- Familiarity with command-line interfaces and scripting
- Understanding of deployment environments (local, edge, cloud)
Audience
- AI engineers optimizing local and cloud-based AI deployments for government
- Machine learning practitioners deploying and fine-tuning large language models for government
- DevOps specialists managing AI model integration for government
14 Hours
