Course Outline
AI-050: Develop Generative AI Solutions with Azure OpenAI Service
This is a 1 day, instructor-led course.
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.
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.
Before attending this course, we recommend students 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 starting this one.
• An understanding of generative AI. You can learn more with Introduction to Azure OpenAI Service.
AI050: Develop Generative AI Solutions with Azure OpenAI Service
This is a 1 day, instructor-led course.
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.
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.
Before attending this course, we recommend students 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 starting this one.
• An understanding of generative AI. You can learn more with Introduction to Azure OpenAI Service.
Course Contents
Module 1: Introduction to Azure OpenAI Service
This module provides engineers with the skills to begin building apps that integrate with the Azure OpenAI Service.
Module objectives
Upon successful completion 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
Lessons
• What is generative AI
• Describe Azure OpenAI
• How to use Azure OpenAI
• Understand OpenAI’s natural language capabilities
• Understand OpenAI code generation capabilities
• Understand OpenAI’s image generation capabilities
• Describe Azure OpenAI’s access and responsible AI policies
Module 2: Get started with Azure OpenAI Service
This module provides engineers with the skills to begin building an Azure OpenAI Service solution.
Module objectives
Upon successful completion 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.
Lessons
• Access Azure OpenAI Service
• Use Azure OpenAI Studio
• Explore types of generative AI models
• Deploy generative AI models
• Use prompts to get completions from models
• Test models in Azure OpenAI Studio’s playgrounds
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.
Module objectives
Upon successful completion 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
Lessons
• Integrate Azure OpenAI into your app
• Use Azure OpenAI REST API
• Use Azure OpenAI SDK
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.
Module objectives
Upon successful completion 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.
Lessons
• Understand prompt engineering and its role in optimizing Azure OpenAI models’ performance.
• Write more effective prompts
• Provide context to improve accuracy
Price per delegate
£795
Scheduled Classes
Remote Access:
Please complete the contact form below or call 0141 221 5676 for further course information and available dates.
Alternatively you can email us at info@indiciatraining.com