Forging Voices from Data - Custom AI Training with Azure OpenAI Studio
Beginner
Data Engineer
Data Scientist
Developer
Microsoft Copilot
Azure OpenAI Service
Learn how to build, train, and customize AI-powered dialogue systems using Azure OpenAI Studio, applying techniques like fine-tuning, prompt engineering, personalization, and iterative testing to create scalable, human-like conversational agents.
Learning objectives
By the end of this module, you'll be able to:
- Set up an Azure OpenAI Studio environment and select appropriate models for dialogue systems.
- Train dialogue models using domain-specific datasets and prompt examples.
- Customize chatbot behavior, tone, and context handling for natural, multi-turn conversations.
- Use real-time testing and feedback loops to refine and improve dialogue performance.
- Deploy scalable, user-centered dialogue systems that align with organizational goals and user needs.
Prerequisites
- Familiarity with AI concepts, particularly natural language processing (NLP)
- Basic experience with cloud platforms and Azure tools (recommended)
- Introductory knowledge of conversational AI or chatbot development (helpful but not required)