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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