Type
Virtual
Classroom ILT
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Learning Path
Virtual
Duration
1 Day
TYPE
Virtual
Classroom ILT
LEARNING PATH
SKILL LEVEL
DURATION
AVAILABLE DATES
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R3 400,00
Price excluding VAT
Introduction
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.
Job role: AI Engineer, Data Scientist
Pre-requisites
Before starting this learning path, you should already have:
- Familiarity with Azure and the Azure portal
- Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before taking this course
Course Objectives
- 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
Course content
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.
Lessons: |
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Module 2:Get started with Azure OpenAI Service |
This module provides engineers with the skills to begin building an Azure OpenAI Service solution. |
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Module 3: Build natural language solutions with Azure OpenAI Service |
This module provides engineers with the skills to begin building apps that integrate with the Azure OpenAI Service. |
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Module 4: Apply 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.
Lessons: |
After completing this module, students will be able to: |
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Associated certifications and exam
On successful completion of this course students will receive a Torque IT attendance certificate.