Introduction to Google Gemini AI Training Course
Google Gemini AI is a state-of-the-art large language model that provides sophisticated AI capabilities, including natural language comprehension, text generation, and semantic search, allowing developers to build more intuitive and responsive AI-powered applications.
This instructor-led, live training (available online or onsite) is designed for beginner to intermediate developers who want to integrate AI functionalities into their applications using Google Gemini AI.
Upon completion of this training, participants will be able to:
- Grasp the fundamentals of large language models.
- Configure and utilize Google Gemini AI for diverse AI tasks.
- Execute text-to-text and image-to-text transformations.
- Develop basic AI-driven applications.
- Discover advanced features and customization options within Google Gemini AI.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation in a live-lab environment.
Customization Options
- For a customized training version of this course, please contact us to make arrangements.
Course Outline
Introduction to AI and Google Gemini
- What is Artificial Intelligence (AI)?
- Overview of Google Gemini AI
- The 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
Requirements
- Familiarity with basic AI concepts
- Experience with APIs and cloud services
- Proficiency in Python programming
Audience
- Developers
- Data Scientists
- AI Enthusiasts
Open Training Courses require 5+ participants.
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Testimonials (1)
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Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis
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