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Course Outline

Introduction to AI and Google Gemini

  • Defining Artificial Intelligence (AI)
  • Overview of Google Gemini AI
  • The significance of Google Gemini within the AI industry

Understanding Large Language Models (LLMs)

  • Core fundamentals of LLMs
  • The architectural design of Google Gemini
  • Comparing Gemini with other existing AI models

Getting Started with Google Gemini

  • Establishing the working environment
  • Acquiring and utilizing the API key
  • Introduction to Gemini's API and its functionalities

Working with Gemini Models

  • Exploring various Gemini model variants
  • Choosing the appropriate model for your specific project
  • Initializing the Generative Model

Practical Applications of Gemini AI

  • Text-to-text transformations
  • Capabilities for text and image-to-text processing
  • Developing chat applications using 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
  • Discovering multimodal capabilities

Project - Building an AI Code Buddy

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

Summary and Next Steps

Requirements

  • Familiarity with fundamental AI concepts
  • Practical experience with APIs and cloud services
  • Proficiency in Python programming

Target Audience

  • Developers
  • Data Scientists
  • AI Enthusiasts
 14 Hours

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