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Course Outline
Introduction to AI and Google Gemini
- Defining Artificial Intelligence (AI)
- Overview of Google Gemini AI
- The Importance of Google Gemini in the AI Sector
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
- Preparing the Development Environment
- Acquiring and Utilizing the API Key
- Introduction to Gemini's API and Functionalities
Working with Gemini Models
- Examining Various Gemini Models
- Choosing the Appropriate Model for Your Project
- Initializing the Generative Model
Practical Applications of Gemini AI
- Text-to-text conversions
- Capabilities for converting text and images to text
- 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 Tips
Summary and Next Steps
Requirements
- Knowledge of fundamental AI concepts
- Familiarity with APIs and cloud services
- Proficiency in Python programming
Target Audience
- Software Developers
- Data Scientists
- AI Enthusiasts
14 Hours
Testimonials (1)
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