Introduction to Google Gemini AI Training Course
Google Gemini AI represents a state-of-the-art large language model, delivering sophisticated AI capabilities such as natural language comprehension, text generation, and semantic search. This empowers 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-level developers keen on integrating AI functionalities into their applications using Google Gemini AI.
Upon completing this training, participants will be equipped to:
- Grasp the core concepts of large language models.
- Configure and utilise Google Gemini AI for diverse AI tasks.
- Execute text-to-text and image-to-text transformations.
- Develop foundational AI-driven applications.
- Investigate advanced features and customisation options within Google Gemini AI.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live-lab environment.
Course Customisation Options
- For customised training arrangements for this course, please contact us.
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
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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