Integrating Google AI Studio Training in Kraków, Poland

This training program focuses on integrating Google AI Studio with various tools, platforms, and workflows. Participants will learn how to design effective prompts in AI Studio, export and connect them to applications, use the Gemini API, and create intelligent assistants for business, education, or development use.

Foundations of Prompt Design and Export

Overview of Google AI Studio and Gemini Models

• What is Google AI Studio
• Features and use cases of Gemini models
• How integration works: prompt → export → action

Prompt Engineering Essentials

• Prompt types: generation, extraction, classification
• Structure: input format, role instructions, output controls
• Creating reusable and consistent prompts

Exporting Prompts for Integration

• Copy/paste and structured prompt templates
• Export to Google Colab or other tools
• Basic workflow examples: AI email assistant, summarizer

API Integration and Scripting

Introduction to Gemini API and Setup

• What is the Gemini API and when to use it
• API keys, authentication, and access setup
• Structure of a basic API call

Calling AI Studio Prompts via Gemini API

• How to convert Studio prompts into API calls
• Handling inputs, outputs, and formatting
• Example: Create a web form that sends user input to the model

Integrating with Google Workspace

• Use cases: Sheets for data analysis, Docs for reports, Gmail for drafts
• Automation example: Auto-summarizing survey results
• Using Google Apps Script with Gemini API

Building Real Use Cases and Scaling Integration

Advanced Prompt Flows and Role Simulation

• Creating AI personas (e.g., analyst, planner, advisor)
• Designing multi-turn logic and chaining output
• Handling structured data (tables, lists, JSON-style responses)

Connecting to Web Tools and APIs

• Using webhooks, no-code tools (e.g., Zapier, Make)
• Sending Gemini output to databases, dashboards, or CMS
• Example: Auto-generate content and push to a Notion workspace

Presentations and Wrap-Up

• Best practices for security, maintenance, and scaling
• Next steps: versioning, testing, and deploying integrations