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Course Outline
Introduction to Ollama
- What is Ollama and how does it operate?
- Advantages of executing AI models locally
- Overview of supported LLMs (Llama, DeepSeek, Mistral, etc.)
Installing and Setting Up Ollama
- System requirements and hardware considerations
- Installing Ollama across different operating systems
- Configuring dependencies and environment setup
Executing AI Models Locally
- Downloading and loading AI models in Ollama
- Interacting with models via the command line
- Fundamental prompt engineering for local AI tasks
Optimising Performance and Resource Utilisation
- Managing hardware resources for efficient AI execution
- Reducing latency and enhancing model response times
- Benchmarking performance for different models
Use Cases for Local AI Deployment
- AI-powered chatbots and virtual assistants
- Data processing and automation tasks
- Privacy-centric AI applications
Summary and Next Steps
Requirements
- Foundational knowledge of AI and machine learning concepts
- Familiarity with command-line interfaces
Target Audience
- Developers executing AI models independently of cloud services
- Business professionals keen on AI privacy and cost-effective deployment
- AI enthusiasts exploring local model deployment
7 Hours
