Course Outline

Introduction to AI and Google Gemini

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

Understanding Large Language Models (LLMs)

  • Fundamentals of LLMs
  • The architecture of Google Gemini
  • Comparing Gemini with other AI models

Getting Started with Google Gemini

  • Setting up the environment
  • Obtaining and using the API key
  • Introduction to Gemini's API and functionalities

Working with Gemini Models

  • Exploring different Gemini models
  • Selecting the right model for your project
  • Initializing the Generative Model

Practical Applications of Gemini AI

  • Text-to-text transformations
  • Text and image-to-text capabilities
  • Building chat applications with Gemini
  • Ethical considerations and responsible AI use

Advanced Features and Customization

  • Deep dive into Gemini's advanced features
  • Customizing responses and fine-tuning models
  • Exploring multimodal capabilities

Project - Building an AI Code Buddy

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

Summary and Next Steps

Requirements

  • An understanding of basic AI concepts
  • Experience with APIs and cloud services
  • Python programming experience

Audience

  • Developers
  • Data Scientists
  • AI Enthusiasts


 

 14 Hours

Number of participants


Price per participant