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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 Landscape
Understanding Large Language Models (LLMs)
- Core Concepts of LLMs
- The Architecture of Google Gemini
- Comparing Gemini with Other AI Models
Getting Started with Google Gemini
- Environment Setup
- Acquiring and Utilizing the API Key
- Introduction to Gemini's API and Features
Working with Gemini Models
- Exploring Various Gemini Models
- Choosing 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 Processing
- 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 - Developing an AI Code Buddy
- Step-by-Step Guide to Creating a Simple AI Chatbot
- Integrating Gemini AI into Your Applications
- Best Practices and Troubleshooting
Summary and Next Steps
Requirements
- Familiarity with fundamental AI concepts
- Experience using APIs and cloud services
- Proficiency in Python programming
Target Audience
- Software Developers
- Data Scientists
- AI Enthusiasts
14 Hours
Testimonials (1)
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