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Course Outline
Introduction to AI and Google Gemini
- Defining Artificial Intelligence (AI)
- Overview of Google Gemini AI
- The significance of Google Gemini within the AI industry
Understanding Large Language Models (LLMs)
- Core fundamentals of LLMs
- The architectural design of Google Gemini
- Comparing Gemini with other existing AI models
Getting Started with Google Gemini
- Establishing the working environment
- Acquiring and utilizing the API key
- Introduction to Gemini's API and its functionalities
Working with Gemini Models
- Exploring various Gemini model variants
- Choosing the appropriate model for your specific project
- Initializing the Generative Model
Practical Applications of Gemini AI
- Text-to-text transformations
- Capabilities for text and image-to-text processing
- Developing chat applications using 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
- Discovering 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 fundamental AI concepts
- Practical experience with APIs and cloud services
- Proficiency in Python programming
Target Audience
- Developers
- Data Scientists
- AI Enthusiasts
14 Hours
Testimonials (1)
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