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Course Outline

Introduction to Lightweight LLMs

  • Examining compact model architectures
  • The progression of resource-optimized artificial intelligence
  • The strategic value of lightweight models for enterprise and public sector operations

Nano Banana Overview

  • Primary features and foundational design principles
  • Model capabilities and associated limitations
  • Distinctions between Nano Banana and conventional LLMs

Deployment Models and Operational Scenarios

  • Advantages of on-device execution for sensitive environments
  • Comparison of local versus cloud-based inference
  • Determining the optimal deployment strategy

Practical Applications in Public and Private Sectors

  • Internal automation and knowledge support systems
  • Citizen- and customer-facing service enhancements
  • Operational workflows and compliance-oriented applications

Integration Fundamentals

  • Assessing system prerequisites and requirements
  • Workflow and procedural considerations
  • Introduction to APIs and toolchains

Cost Optimization and Operational Efficiency

  • Lowering inference costs through compact model utilization
  • Optimizing the balance between performance and resource allocation
  • Strategic planning for scalable deployments

Governance, Privacy, and Risk Management

  • Safeguarding secure on-device execution for government applications
  • Defining data boundaries and implementing protective safeguards
  • Ensuring alignment with enterprise policies, regulatory standards, and compliance frameworks

Preparing for Organizational Adoption

  • Establishing internal competency and operational readiness
  • Quantifying business value through pilot initiatives
  • Establishing the infrastructure for broader implementation

Summary and Recommended Next Steps

Requirements

  • A foundational understanding of general IT concepts
  • Experience with basic software tools
  • Familiarity with data-driven business workflows

Intended Audience

  • General IT teams adopting AI capabilities
  • Business users interested in practical AI applications
  • Technology managers evaluating on-device LLM strategies for government or enterprise use
 7 Hours

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