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Course Outline

Overview of Artificial Intelligence and Google Gemini

  • Definition and scope of Artificial Intelligence (AI)
  • Key features of the Google Gemini AI platform
  • Strategic importance of Google Gemini within the broader AI ecosystem for government and enterprise use

Principles of Large Language Models (LLMs)

  • Core concepts underlying LLMs
  • Structural architecture of Google Gemini
  • Comparative analysis of Gemini against alternative AI models

Implementation Guide for Google Gemini

  • Configuration of the development environment
  • Acquisition and authentication procedures for API keys
  • Overview of Gemini’s API endpoints and operational capabilities

Utilization of Gemini Models

  • Assessment of available Gemini model variants
  • Criteria for selecting appropriate models based on project requirements
  • Initialization protocols for the Generative Model interface

Operational Applications of Gemini AI

  • Execution of text-to-text processing tasks
  • Integration of multimodal inputs (text and image) for data extraction
  • Development of conversational interfaces utilizing Gemini
  • Adherence to ethical guidelines and responsible AI governance standards

Advanced Capabilities and System Customization

  • Comprehensive examination of Gemini’s advanced functional features
  • Techniques for response customization and model fine-tuning
  • Investigation of multimodal processing functions

Project Implementation: Development of an AI Code Assistant

  • Procedural instructions for constructing a basic AI chatbot
  • Methodologies for integrating Gemini AI into existing applications
  • Operational best practices and diagnostic troubleshooting

Executive Summary and Future Directives

Requirements

  • Foundational knowledge of artificial intelligence principles
  • Practical experience utilizing application programming interfaces and cloud-based services
  • Proficiency in Python coding

Target Audience

  • Software Developers
  • Data Scientists
  • Individuals with an interest in AI technologies for government applications
 14 Hours

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