AI-3016 Develop generative AI apps in Azure

Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Studio. Learn how to build generative AI applications like custom copilots that use language models and prompt flow to provide value to your users.

• Planning & Setup – Prepare and plan AI solution development within the Azure ecosystem.
• Model Management – Select and deploy models from the Azure AI Foundry catalog.
• App Development – Build generative AI apps using Azure AI Foundry SDK and Prompt Flow.
• RAG Implementation – Create Retrieval-Augmented Generation (RAG) solutions with custom data integration.
• Model Fine-Tuning – Adapt and fine-tune language models for specific tasks.
• Responsible AI – Apply responsible AI practices: risk assessment, mitigation, measurement, and content filtering.
• Performance Evaluation – Assess and optimize generative AI app performance for accuracy and usability.
• Azure AI Studio/Foundry – Navigate and utilize the core tools, components, and features for development and deployment.

• Data Scientists & AI Engineers – Build and deploy custom copilots on Azure using generative AI models.
• Software Developers – Apply programming skills to create generative AI applications with large language models.
• AI Architects – Gain a full understanding of Azure AI Foundry for solution design and deployment.
• Cloud Engineers & IT Specialists – Implement generative AI solutions within the Azure ecosystem.
• Team Leads & Managers – Oversee and guide generative AI project implementation.
• AI Enthusiasts & Learners – Explore generative AI on Azure with hands-on practice.
• Students – Acquire practical skills in AI and cloud-based generative development.

Before starting this module, you should be familiar with fundamental AI concepts and services in Azure.