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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 Ecosystem

Understanding Large Language Models (LLMs)

  • Core principles of LLMs
  • Google Gemini’s Architecture
  • Comparing Gemini with Other AI Models

Getting Started with Google Gemini

  • Environment Setup
  • Acquiring and Utilizing the API Key
  • Introduction to Gemini’s API and Functionalities

Working with Gemini Models

  • Exploring Various 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 Look at 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

Summary and Next Steps

Requirements

  • A foundational understanding of AI concepts
  • Experience working with APIs and cloud services
  • Proficiency in Python programming

Audience

  • Developers
  • Data Scientists
  • AI Enthusiasts
 14 Hours

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