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Course Outline
Introduction to Ollama
- What is Ollama and how does it work?
- Benefits of running AI models locally
- Overview of supported LLMs (Llama, DeepSeek, Mistral, etc.)
Installing and Setting Up Ollama
- System requirements and hardware considerations
- Installing Ollama on different operating systems
- Configuring dependencies and environment setup
Running AI Models Locally
- Downloading and loading AI models in Ollama
- Interacting with models via the command line
- Basic prompt engineering for local AI tasks
Optimizing Performance and Resource Usage
- Managing hardware resources for efficient AI execution
- Reducing latency and improving model response time
- Benchmarking performance for different models
Use Cases for Local AI Deployment
- AI-powered chatbots and virtual assistants
- Data processing and automation tasks
- Privacy-focused AI applications
Summary and Next Steps
Requirements
- Basic understanding of AI and machine learning concepts
- Familiarity with command-line interfaces
Audience
- Developers running AI models without cloud dependencies
- Business professionals interested in AI privacy and cost-effective deployment
- AI enthusiasts exploring local model deployment
7 Hours
