Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Private AI with Ollama
- Overview of Ollama’s role in enterprise AI
- Benefits of running AI models privately
- Comparison with cloud-based AI solutions
Setting Up a Secure AI Infrastructure
- Deploying Ollama on on-premise and self-hosted servers
- Configuring access controls and authentication
- Implementing encryption for AI model data
Deploying AI Models in a Private Environment
- Loading and managing LLMs locally
- Optimizing performance for private deployments
- Ensuring AI model version control and updates
Building Secure AI Workflows
- Designing AI-driven automation pipelines
- Integrating Ollama with enterprise applications
- Ensuring compliance with security and governance policies
Optimizing AI Model Performance and Efficiency
- Leveraging GPU acceleration for high-speed processing
- Fine-tuning AI models for private workloads
- Monitoring and maintaining AI performance
Ensuring Compliance and Data Privacy
- Best practices for enterprise AI security
- Data retention policies for private AI models
- Regulatory compliance considerations (GDPR, HIPAA, etc.)
Scaling Private AI Workflows
- Expanding AI capabilities in large enterprises
- Hybrid approaches combining private and cloud AI
- Future trends in private AI deployment
Summary and Next Steps
Requirements
- Experience with AI model deployment and management
- Familiarity with network security and access control
- Understanding of enterprise automation and DevOps practices
Audience
- Enterprise architects designing AI-powered workflows
- Security analysts ensuring compliance and data privacy
- Automation engineers integrating AI into business operations
14 Hours
