Introduction to Google Gemini AI

• An understanding of basic AI concepts
• Experience with APIs and cloud services
• Python programming experience

Audience

• Developers
• Data Scientists
• AI Enthusiasts

Google Gemini AI is a cutting-edge large language model that offers advanced AI capabilities, such as natural language understanding, text generation, and semantic search, enabling developers to create more intuitive and responsive AI-driven applications.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to integrate AI functionalities into their applications using Google Gemini AI.

By the end of this training, participants will be able to:

• Understand the fundamentals of large language models.
• Set up and use Google Gemini AI for various AI tasks.
• Implement text-to-text and image-to-text transformations.
• Build basic AI-driven applications.
• Explore advanced features and customization options in Google Gemini AI.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to AI and Google Gemini

• What is Artificial Intelligence (AI)?
• Overview of Google Gemini AI
• Significance of Google Gemini in the AI landscape

Understanding Large Language Models (LLMs)

• Fundamentals of LLMs
• The architecture of Google Gemini
• Comparing Gemini with other AI models

Getting Started with Google Gemini

• Setting up the environment
• Obtaining and using the API key
• Introduction to Gemini's API and functionalities

Working with Gemini Models

• Exploring different Gemini models
• Selecting the right model for your project
• Initializing the Generative Model

Practical Applications of Gemini AI

• Text-to-text transformations
• Text and image-to-text capabilities
• Building chat applications with Gemini
• Ethical considerations and responsible AI use

Advanced Features and Customization

• Deep dive into Gemini's advanced features
• Customizing responses and fine-tuning models
• Exploring multimodal capabilities

Project - Building an AI Code Buddy

• Step-by-step guide to building a simple AI chatbot
• Integrating Gemini AI into your applications
• Best practices and troubleshooting

Summary and Next Steps