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Course Outline
Introduction to AI and Google Gemini
- What is Artificial Intelligence (AI)?
- Overview of Google Gemini AI
- The importance of Google Gemini in the AI landscape
Understanding Large Language Models (LLMs)
- Core principles of LLMs
- The architecture behind Google Gemini
- Comparing Gemini with other AI models
Getting Started with Google Gemini
- Setting up the development environment
- Obtaining and utilizing the API key
- Introduction to Gemini's API and capabilities
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
- Capabilities for text and image-to-text conversion
- Building chat applications with Gemini
- Ethical considerations and responsible AI usage
Advanced Features and Customization
- In-depth exploration 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 constructing a simple AI chatbot
- Integrating Gemini AI into your applications
- Best practices and troubleshooting strategies
Summary and Next Steps
Requirements
- A foundational understanding of AI concepts
- Experience with APIs and cloud services
- Proficiency in Python programming
Target Audience
- Developers
- Data Scientists
- AI Enthusiasts
14 Hours
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