Get in Touch
 Duration 14 hours

Course Outline

Introduction to AI and Google Gemini

  • Defining Artificial Intelligence (AI)
  • Overview of Google Gemini AI
  • The role of Google Gemini in the AI landscape

Understanding Large Language Models (LLMs)

  • Core principles of LLMs
  • Architecture of Google Gemini
  • Comparison of Gemini with other AI models

Getting Started with Google Gemini

  • Environment setup
  • Obtaining and utilizing the API key
  • Introduction to Gemini's API and functionalities

Working with Gemini Models

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

Practical Applications of Gemini AI

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

Advanced Features and Customization

  • In-depth analysis 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 creating a simple AI chatbot
  • Integrating Gemini AI into your applications
  • Best practices and troubleshooting techniques

Summary and Next Steps

Requirements

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

Audience

  • Developers
  • Data Scientists
  • AI Enthusiasts

Number of participants


Price per participant (excl. VAT)

Testimonials (1)

Upcoming Courses

Related Categories