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AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service

AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service course will teach you 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.

 

Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications.

 
Audience Profile:

The audience for this course AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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.

 

This course includes hands-on exercises/demonstrations to enable you to learn practical skills with the technologies.

Microsoft Courseware

Instructor-Led Training

Course Duration: 1-Day (8-Hour)

Microsoft Official Lab Exercises

Delivered by MCT

Cloud Lab Access

Overview

OpenAI makes its AI models available to developers to build powerful software applications, such as ChatGPT. There are large number of OpenAI applications that can be used for various tasks such as generating text from code, to purely entertaining, such as making up scary stories.

 

Azure OpenAI Service brings these generative AI models to the Azure platform, enabling you to develop powerful AI solutions that benefit from the security, scalability, and integration of other services provided by the Azure cloud platform. These models are available for building applications through a REST API, various SDKs, and a Studio interface.

 

Azure OpenAI provides a platform for developers to add artificial intelligence functionality to their applications with the help of both Python and C# SDKs and REST APIs. You will learn how to use prompt engineering to optimize the performance of Azure OpenAI models.Prompt engineering involves designing and optimizing prompts to better utilize Azure OpenAI models.

Modules

Module 1: Introduction to Azure OpenAI Service

2 Hours
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: Get started with Azure OpenAI Service

2 Hours
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 natural language solutions with Azure OpenAI Service

2 Hours
This module provides engineers with the skills to begin building apps that integrate with the Azure OpenAI Service. 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: Apply prompt engineering with Azure OpenAI Service

2 Hours
Azure OpenAI uses Prompt engineering as a technique that involves designing prompts for natural language processing models. 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.

Fees And Schedule

Instructor-Led Training

8-Hour of Instructor-Led Training One to one doubt resolution sessions Microsoft Official Lab Access

Learning Objectives

After completing the course, students will be able 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
  • Create an Azure OpenAI Service resource and understand the 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.
  • 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
  • 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.

Reviews

Course Price :

Original price was: $599.00.Current price is: $499.00.

17% OFF. Expires in

Buy Buy Now

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