Course Outline

Introduction to Artificial Intelligence (AI) and Google Gemini for Government

  • What is Artificial Intelligence (AI)?
  • Overview of Google Gemini AI for government applications
  • Significance of Google Gemini in the AI landscape for government use

Understanding Large Language Models (LLMs) for Government

  • Fundamentals of LLMs for government
  • The architecture of Google Gemini for government applications
  • Comparing Gemini with other AI models in the public sector

Getting Started with Google Gemini for Government

  • Setting up the environment for government use
  • Obtaining and using the API key for government projects
  • Introduction to Gemini's API and functionalities for government applications

Working with Gemini Models for Government

  • Exploring different Gemini models suitable for government tasks
  • Selecting the right model for your government project
  • Initializing the Generative Model for government use

Practical Applications of Gemini AI for Government

  • Text-to-text transformations for government documents
  • Text and image-to-text capabilities for government communications
  • Building chat applications with Gemini for government services
  • Ethical considerations and responsible AI use in the public sector

Advanced Features and Customization for Government

  • Deep dive into Gemini's advanced features for government applications
  • Customizing responses and fine-tuning models for government needs
  • Exploring multimodal capabilities for enhanced government services

Project - Building an AI Code Buddy for Government

  • Step-by-step guide to building a simple AI chatbot for government use
  • Integrating Gemini AI into your government applications
  • Best practices and troubleshooting for government projects

Summary and Next Steps for Government

Requirements

  • A foundational understanding of artificial intelligence (AI) concepts for government
  • Practical experience with application programming interfaces (APIs) and cloud services
  • Proficiency in Python programming

Audience

  • Software Developers
  • Data Scientists
  • AI Professionals
 14 Hours

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