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Course Outline

Introduction to AI and Google Gemini

  • What is Artificial Intelligence (AI)?
  • Overview of Google Gemini AI
  • The importance of Google Gemini in the AI landscape

Understanding Large Language Models (LLMs)

  • Core principles of LLMs
  • The architecture behind Google Gemini
  • Comparing Gemini with other AI models

Getting Started with Google Gemini

  • Setting up the development environment
  • Obtaining and utilizing the API key
  • Introduction to Gemini's API and capabilities

Working with Gemini Models

  • Exploring various Gemini models
  • Selecting the appropriate model for your project
  • Initializing the Generative Model

Practical Applications of Gemini AI

  • Text-to-text transformations
  • Capabilities for text and image-to-text conversion
  • Building chat applications with Gemini
  • Ethical considerations and responsible AI usage

Advanced Features and Customization

  • In-depth exploration of Gemini's advanced features
  • Customizing responses and fine-tuning models
  • Exploring multimodal capabilities

Project - Building an AI Code Buddy

  • Step-by-step guide to constructing a simple AI chatbot
  • Integrating Gemini AI into your applications
  • Best practices and troubleshooting strategies

Summary and Next Steps

Requirements

  • A foundational understanding of AI concepts
  • Experience with APIs and cloud services
  • Proficiency in Python programming

Target Audience

  • Developers
  • Data Scientists
  • AI Enthusiasts
 14 Hours

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