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Course Outline
Introduction to AI and Google Gemini
- What constitutes Artificial Intelligence (AI)?
- Overview of Google Gemini AI
- The significance of Google Gemini within the AI landscape
Understanding Large Language Models (LLMs)
- Core fundamentals of LLMs
- The architecture underlying Google Gemini
- Comparing Gemini with competing AI models
Getting Started with Google Gemini
- Environment setup
- Acquiring and utilising the API key
- Introduction to Gemini's API and its functionalities
Working with Gemini Models
- Exploring the various Gemini models
- Selecting the appropriate model for your project
- Initialising the Generative Model
Practical Applications of Gemini AI
- Text-to-text transformations
- Capabilities for converting text and images to text
- Building chat applications with Gemini
- Ethical considerations and responsible AI utilisation
Advanced Features and Customisation
- In-depth exploration of Gemini's advanced features
- Customising responses and fine-tuning models
- Investigating 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 techniques
Summary and Next Steps
Requirements
- A solid grasp of fundamental AI concepts
- Experience with APIs and cloud services
- Proficiency in Python programming
Audience
- Developers
- Data Scientists
- AI Enthusiasts
14 Hours
Testimonials (1)
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