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.
Duration 7 hours
Course Outline
Introduction to Lean LLMs
- Exploring compact model architectures
- The progression of resource-efficient AI
- The significance of lightweight models in enterprise settings
Decoding Nano Banana
- Core features and architectural design
- Model strengths and constraints
- Distinguishing Nano Banana from conventional LLMs
Deployment Architectures and Application Scenarios
- Advantages of on-device execution
- Comparing local and cloud-based inference
- Determining optimal deployment strategies
Cross-Industry Practical Use Cases
- Internal process automation and knowledge support
- Client-facing implementation examples
- Operational efficiency and compliance-driven scenarios
Integration Essentials
- Reviewing system prerequisites
- Considerations for workflow and process alignment
- Overview of APIs and toolchains
Cost Management and Operational Efficiency
- Lowering inference expenses via compact models
- Optimizing the balance between performance and resource usage
- Planning for scalable deployment architectures
Governance, Data Privacy, and Risk Control
- Safeguarding secure on-device operations
- Managing data boundaries and protective measures
- Compliance with corporate policies and standards
Readiness for Enterprise Implementation
- Cultivating internal competencies and preparedness
- Validating business impact through pilot initiatives
- Establishing the foundation for extensive rollout
Recap and Future Directions
Requirements
- Familiarity with fundamental IT principles
- Proficiency with basic software utilities
- Understanding of data-centric business processes
Target Audience
- IT teams integrating AI capabilities
- Professionals seeking practical AI use cases
- Leaders evaluating on-device LLM strategies
Testimonials (1)
Flow , vibe and topic on presentation
