Get in Touch

Course Outline

Introduction to AI and Google Gemini

  • What constitutes Artificial Intelligence (AI)?
  • Overview of Google Gemini AI
  • The significance of Google Gemini within the AI landscape

Understanding Large Language Models (LLMs)

  • Core fundamentals of LLMs
  • The architecture underlying Google Gemini
  • Comparing Gemini with competing AI models

Getting Started with Google Gemini

  • Environment setup
  • Acquiring and utilising the API key
  • Introduction to Gemini's API and its functionalities

Working with Gemini Models

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

Practical Applications of Gemini AI

  • Text-to-text transformations
  • Capabilities for converting text and images to text
  • Building chat applications with Gemini
  • Ethical considerations and responsible AI utilisation

Advanced Features and Customisation

  • In-depth exploration of Gemini's advanced features
  • Customising responses and fine-tuning models
  • Investigating 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 techniques

Summary and Next Steps

Requirements

  • A solid grasp of fundamental AI concepts
  • Experience with APIs and cloud services
  • Proficiency in Python programming

Audience

  • Developers
  • Data Scientists
  • AI Enthusiasts
 14 Hours

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories