Introduction to Google Gemini AI Training Course
Google Gemini AI is an advanced large language model that provides sophisticated AI capabilities, including natural language comprehension, text creation, and semantic search. These tools empower developers to build more intuitive and responsive AI-powered applications.
This instructor-led live training, available both online and onsite, is designed for developers at the beginner to intermediate level who want to incorporate AI features into their apps using Google Gemini AI.
Upon completing this training, participants will be able to:
- Grasp the core concepts of large language models.
- Configure and utilize Google Gemini AI for various AI tasks.
- Apply text-to-text and image-to-text conversions.
- Develop foundational AI-driven applications.
- Investigate advanced features and customization possibilities within Google Gemini AI.
Course Structure
- Engaging lectures and group discussions.
- Extensive exercises and practical sessions.
- Real-world implementation within a live laboratory setting.
Customization Opportunities
- For tailored training sessions, please reach out to us to make arrangements.
Course Outline
Introduction to AI and Google Gemini
- Defining Artificial Intelligence (AI)
- Overview of Google Gemini AI
- The Importance of Google Gemini in the AI Sector
Understanding Large Language Models (LLMs)
- Core Principles of LLMs
- The Architecture Behind Google Gemini
- Comparing Gemini with Other AI Models
Getting Started with Google Gemini
- Preparing the Development Environment
- Acquiring and Utilizing the API Key
- Introduction to Gemini's API and Functionalities
Working with Gemini Models
- Examining Various Gemini Models
- Choosing the Appropriate Model for Your Project
- Initializing the Generative Model
Practical Applications of Gemini AI
- Text-to-text conversions
- Capabilities for converting text and images to text
- Developing chat applications with Gemini
- Ethical Considerations and Responsible AI Usage
Advanced Features and Customization
- In-depth Look at Gemini's Advanced Features
- Customizing Responses and Fine-tuning Models
- Exploring Multimodal Capabilities
Project - Building an AI Code Buddy
- Step-by-step Guide to Creating a Simple AI Chatbot
- Integrating Gemini AI into Your Applications
- Best Practices and Troubleshooting Tips
Summary and Next Steps
Requirements
- Knowledge of fundamental AI concepts
- Familiarity with APIs and cloud services
- Proficiency in Python programming
Target Audience
- Software Developers
- Data Scientists
- AI Enthusiasts
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Introduction to Google Gemini AI Training Course - Enquiry
Testimonials (1)
Flow , vibe and topic on presentation
Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis
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