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 Lightweight LLMs
- Exploring compact model architectures
- The progression of resource-efficient AI
- The importance of lightweight models for enterprise use
Getting to Know Nano Banana
- Core features and design philosophy
- Model strengths and limitations
- Distinguishing Nano Banana from conventional LLMs
Deployment Strategies and Use Cases
- On-device execution and its advantages
- Local versus cloud-based inference
- Choosing the optimal deployment approach
Practical Applications Across Sectors
- Internal automation and knowledge support
- Customer-facing solutions
- Operational and compliance-focused scenarios
Integration Essentials
- Assessing system requirements
- Considerations for workflows and processes
- Introduction to APIs and toolchains
Cost Efficiency and Optimisation
- Lowering inference costs with compact models
- Striking a balance between performance and resources
- Planning for scalable implementations
Governance, Privacy, and Risk Oversight
- Securing on-device operations
- Comprehending data boundaries and protective measures
- Aligning with enterprise policies and standards
Readying for Organisational Adoption
- Cultivating internal skills and preparedness
- Evaluating business impact through pilot initiatives
- Paving the way for wider implementation
Conclusion and Path Forward
Requirements
- A basic grasp of general IT principles
- Proficiency with fundamental software tools
- Understanding of data-driven business processes
Target Audience
- General IT teams integrating AI capabilities
- Business professionals seeking practical AI applications
- Technology managers assessing on-device LLM strategies
Testimonials (1)
Flow , vibe and topic on presentation
