Develop Generative AI Solutions with Azure OpenAI Service
In this course, you will learn how to implement generative AI solutions by using Microsoft Azure OpenAI Service. Specifically, you’ll learn how to:
•Provision and work with the Azure OpenAI service
•Choose and deploy OpenAI models for generative AI tasks
•Use APIs and SDKs to consume models from client applications
Apply prompt engineering to generate relevant results
DETALJER
Module 1: Introduction to Azure OpenAI Service
Get to know the connection between artificial intelligence (AI), Responsible AI, and text, code, and image generation. Understand how you can use Azure OpenAI to build solutions against AI models within Azure.
Learning objectives
In this module you'll learn how to:
- Describe Azure OpenAI workloads and access the Azure OpenAI Service
- Understand generative AI models
- Understand Azure OpenAI's language, code, and image capabilities
- Understand Azure OpenAI's responsible AI practices and limited access policies
Module 2: Getting started with Azure OpenAI Service
This module provides engineers with the skills to begin building an Azure OpenAI Service solution.
Learning objectives
By the end of this module, you'll be able to:
- Create an Azure OpenAI Service resource and understand types of Azure OpenAI base models.
- Use the Azure OpenAI Studio, console, or REST API to deploy a base model and test it in the Studio's playgrounds.
- Generate completions to prompts and begin to manage model parameters.
Module 3: Build applications with Azure OpenAI Service
This module provides engineers with the skills to begin building apps that integrate with the Azure OpenAI Service.
Learning objectives
By the end of this module, you'll be able to:
- Integrate Azure OpenAI into your application
- Differentiate between different endpoints available to your application
- Generate completions to prompts using the REST API and language specific SDKs
Module 4: Prompt engineering with Azure OpenAI Service
Prompt engineering in Azure OpenAI is a technique that involves designing prompts for natural language processing models. This process improves accuracy and relevancy in responses, optimizing the performance of the model.
Learning objectives
By the end of this module, you'll be able to:
- Understand the concept of prompt engineering and its role in optimizing Azure OpenAI models' performance.
- Know how to design and optimize prompts to better utilize AI models.
- Include clear instructions, request output composition, and use contextual content to improve the quality of the model's responses.
INFORMATIONER
Kursus nummer: AI-050
Varighed: 1 dag
Pris: kr. 6.500,- (eksl. moms)
TILMELDING
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