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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
Testimonials (1)
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