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Course Outline
Introduction to Ollama
- What is Ollama and how does it function?
- Benefits of deploying AI models locally for government operations
- Overview of supported Large Language Models (LLMs) such as Llama, DeepSeek, Mistral, and others
Installing and Setting Up Ollama
- System requirements and hardware considerations for government use
- Installing Ollama on various operating systems
- Configuring dependencies and environment setup for optimal performance
Running AI Models Locally
- Downloading and loading AI models in Ollama for government applications
- Interacting with models via the command line interface
- Basic prompt engineering techniques for local AI tasks in a public sector context
Optimizing Performance and Resource Usage
- Managing hardware resources to ensure efficient AI execution for government operations
- Strategies for reducing latency and improving model response time
- Benchmarking performance across different models for informed decision-making
Use Cases for Local AI Deployment in Government
- AI-powered chatbots and virtual assistants for enhanced citizen services
- Data processing and automation tasks to streamline government operations
- Privacy-focused AI applications to protect sensitive information
Summary and Next Steps
Requirements
- Fundamental knowledge of artificial intelligence and machine learning principles
- Proficiency with command-line interfaces
Audience for Government
- Developers implementing AI models in environments without cloud dependencies
- Business professionals seeking to understand AI privacy and cost-effective deployment strategies
- AI enthusiasts interested in the practical aspects of local model deployment
7 Hours
