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NewAI-050T00
Develop Generative AI Solutions with Azure OpenAI Service (AI-050)
Description
Develop Generative AI Solutions with Azure OpenAI Service (AI-050) Introduction
Prerequisites
Before starting this learning path, you should already have:
- Familiarity with Azure and the Azure portal.
- Experience programming with C# or Python.
Audience
- The audience for this course includes software developers and data scientists who need to use large language models for generative AI.
- Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions.
Develop Generative AI Solutions with Azure OpenAI Service (AI-050) Outline
Getting Started with Azure OpenAI Service
- Accessing Azure OpenAI Service: Introduction to accessing and navigating the Azure OpenAI Service.
- Using Azure OpenAI Studio: A guide to utilizing Azure OpenAI Studio for model management and testing.
- Exploring Generative AI Models: Overview of the various types of generative AI models available in Azure OpenAI Service.
- Deploying Generative AI Models: Instructions on how to deploy generative AI models within Azure.
- Using Prompts for Model Completions: Techniques for crafting prompts to elicit desired responses from models.
- Testing Models in Azure OpenAI Studio’s Playgrounds: Hands-on practice with models in Azure OpenAI Studio’s playground environment.
Build Natural Language Solutions with Azure OpenAI Service
- Integrating Azure OpenAI into Your App: Steps for embedding Azure OpenAI Service into applications.
- Using Azure OpenAI REST API: Guidance on leveraging the Azure OpenAI REST API for application integration.
- Using Azure OpenAI SDK: Introduction to the Azure OpenAI SDK for application development.
Apply Prompt Engineering with Azure OpenAI Service
- Understanding Prompt Engineering: Fundamental concepts of prompt engineering in AI model optimization.
- Writing More Effective Prompts: Techniques for crafting effective prompts to elicit better responses.
- Providing Context to Improve Accuracy: Strategies for including contextual information to enhance model accuracy.
Develop Generative Code with Azure OpenAI Service
- Constructing Code from Natural Language: How to translate natural language prompts into code.
- Completing Code and Assisting Development Process: Utilizing AI models to complete and understand complex code.
- Fixing Bugs and Improving Your Code: Leveraging AI to identify bugs and suggest improvements.
Develop Generative Images with Azure OpenAI Service
- What is DALL-E?: An introduction to DALL-E and its capabilities within Azure OpenAI.
- Explore DALL-E in Azure OpenAI Studio: Navigating DALL-E features in Azure OpenAI Studio.
- Using the Azure OpenAI REST API with DALL-E Models: Guide to using the REST API for DALL-E image generation.
Use Your Own Data with Azure OpenAI Service
- Using Your Own Data with Azure OpenAI: Introduction to incorporating personal data sources into Azure OpenAI.
- Adding Your Own Data Source: Steps to configure Azure OpenAI with custom data sources.
- Chatting with Your Model Using Your Own Data: Techniques for engaging with AI models using personalized data.
$595.00
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1 Day Course |