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

$780

Description

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 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.

Prerequisites

Before starting this learning path, you should already have:
  • Familiarity with Azure and the Azure portal.
  • Experience programming with C# or Python.

On-Site Training

If you need training for three or more people, ask us about training at your site. You can enjoy the convenience of reduced travel cost and time, as well as a familiar environment for your staff. Additionally, we can customise the course for your business needs.

Cancellation Policy

To cancel or, reschedule please contact us 10 days before the course

Contact Details

  • 0410077106
  • fusman@technisaur.com.au
  • Melbourne VIC, Australia

Modules

Module 1: Get 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 2 : Apply Prompt Engineering with Open AI 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.

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Instructor-led | 1 days course | Techni Cloud | Online Session

  • Timing

    From  ->  9 : 00 AM  -  5 : 00 PM

    *Session

    *Time Zone

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