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Generative AI Workloads and Azure OpenAI Service
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Generative AI Workloads and Azure OpenAI Service

INR 29
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📂 Microsoft Azure Certifications

Description

Understanding generative AI models, Azure OpenAI service capabilities, foundation models, and responsible generative AI practices

Learning Objectives

Learners will identify features of generative AI models and understand common scenarios for generative AI applications. They will be able to describe Azure OpenAI service capabilities, understand foundation model concepts, and apply responsible AI considerations specifically for generative AI systems.

Topics (8)

1
Generative AI Model Fundamentals

Learning about generative adversarial networks, transformers, diffusion models, and language models

2
Large Language Models (LLMs)

Learning about GPT models, BERT, T5, and other transformer-based language models

3
Common Generative AI Scenarios

Learning about content creation, code generation, creative writing, and business applications

4
Azure OpenAI Service Features

Learning about GPT models, DALL-E, Codex, and Azure OpenAI API integration

5
Azure AI Foundry Platform

Learning about model catalog, development tools, and AI application deployment

6
Prompt Engineering and Optimization

Learning about prompt construction, few-shot learning, and prompt template design

7
Responsible Generative AI Considerations

Learning about content safety, bias mitigation, misinformation prevention, and AI alignment

8
Azure AI Foundry Model Catalog

Learning about foundation models, custom models, and model comparison features