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 Duration 14 hours

Course Outline

Introduction to Artificial Intelligence and the Google Gemini Platform

  • Defining Artificial Intelligence (AI) in Public Sector Contexts
  • Comprehensive Overview of Google Gemini AI Capabilities
  • Role of Google Gemini in the Broader AI Ecosystem

Fundamentals of Large Language Models (LLMs)

  • Core Principles Underlying LLMs
  • Architectural Analysis of Google Gemini
  • Comparative Assessment of Gemini Against Alternative AI Models

Initialization and Configuration of Google Gemini

  • Establishing the Technical Environment for Implementation
  • Acquisition and Management of API Credentials
  • Detailed Examination of Gemini API Interfaces and Operational Features

Operationalizing Gemini Models for Service Delivery

  • Survey of Available Gemini Model Variants
  • Criteria for Selecting Appropriate Models for Specific Projects
  • Procedural Steps for Initializing the Generative Model

Applied Use Cases for Gemini AI in Government Operations

  • Executing Text-to-Text Data Transformation Processes
  • Leveraging Text and Image-to-Text Analytical Capabilities
  • Developing Conversational Interfaces for Citizen Engagement
  • Addressing Ethical Standards and Responsible AI Deployment Protocols

Advanced Configuration and System Customization

  • In-Depth Analysis of Enhanced Gemini Functionality
  • Techniques for Response Modulation and Model Fine-Tuning
  • Evaluation of Multimodal Data Processing Capabilities

Practical Exercise: Developing an AI-Assisted Code Support Tool

  • Methodical Procedure for Constructing a Functional AI Chatbot
  • Strategies for Integrating Gemini AI into Institutional Applications
  • Adherence to Best Practices and System Troubleshooting Methods

Concluding Summary and Future Implementation Directions

Requirements

  • Proficiency in fundamental artificial intelligence principles.
  • Practical experience with Application Programming Interfaces (APIs) and cloud service platforms.
  • Demonstrated competence in Python programming.

Target Audience

  • Software Developers.
  • Data Scientists.
  • Professionals with a focus on Artificial Intelligence.

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