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

Related Courses

LangChain: Building AI-Powered Applications

14 Hours

LangChain Fundamentals

14 Hours

Google Gemini AI for Content Creation

14 Hours

Google Gemini AI for Transformative Customer Service

14 Hours

Google Gemini AI for Data Analysis

21 Hours

Generative AI with Large Language Models (LLMs)

21 Hours

LlamaIndex: Enhancing Contextual AI

14 Hours

LlamaIndex: Developing LLM Powered Applications

42 Hours

Introduction to Large Language Models (LLMs)

14 Hours

LLMs for Automated Customer Support

14 Hours

LLMs for Business Intelligence

14 Hours

LLMs for Content Generation

14 Hours

LLMs for Code Generation and Documentation

14 Hours

Advanced LLMs for NLP Tasks

21 Hours

LLMs for Personalized Education

14 Hours

Related Categories

1