Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to AI and Google Gemini
- Defining Artificial Intelligence (AI).
- An overview of Google Gemini AI.
- The importance of Google Gemini in the current AI landscape.
Understanding Large Language Models (LLMs)
- The basics of LLMs.
- The architecture behind Google Gemini.
- Comparing Gemini with other AI models.
Getting Started with Google Gemini
- Preparing the development environment.
- Securing and utilizing the API key.
- An introduction to Gemini's API and its core functionalities.
Working with Gemini Models
- Examining the various Gemini models.
- Choosing the most suitable model for your specific project.
- Initializing the Generative Model.
Practical Applications of Gemini AI
- Performing text-to-text transformations.
- Utilizing text and image-to-text features.
- Developing chat applications using Gemini.
- Ethical considerations and the responsible use of AI.
Advanced Features and Customization
- In-depth exploration of Gemini's advanced features.
- Customizing responses and fine-tuning models.
- Investigating multimodal capabilities.
Project - Building an AI Code Buddy
- A step-by-step guide to creating a simple AI chatbot.
- Integrating Gemini AI into your existing applications.
- Best practices and troubleshooting techniques.
Summary and Next Steps
Requirements
- A solid grasp of fundamental AI concepts.
- Practical experience with APIs and cloud services.
- Proficiency in Python programming.
Target Audience
- Software Developers
- Data Scientists
- AI Enthusiasts
14 Hours
Testimonials (1)
Flow , vibe and topic on presentation
