SHI TTAI2330 Instructor LED User Guide

SHI TTAI2330 Instructor LED

Product Information

• Course Name: QuickStart to Azure OpenAI Basics for Technical Users
• Course Code: TTAI2330
• Duration: 1 day

Delivery Method: Instructor Led
The QuickStart to Azure OpenAI Basics for Technical Users course is designed to provide a comprehensive introduction to OpenAI and its products, as well as the integration of Azure’s offerings for AI and machine learning. The course is targeted towards experienced technical professionals working in various industries, including software development, data science, marketing and advertising, finance, healthcare, and more.

Course Objectives:

• Understand the capabilities and products offered by OpenAI
• Learn how to use the OpenAI API to access GPT-3, a powerful language model
• Build a GPT-3 based chatbot on Azure
• Explore OpenAI Whisper for improving text generation quality
• Discover OpenAI DALL-E for generating unique images

Audience Profile:
This introductory-level course is ideal for technical professionals who want to leverage the latest AI and machine learning techniques in their daily work. Participants should have some familiarity with Python scripting basics, as the hands-on labs in the course utilize Python.

Prerequisites:
It is recommended to have incoming skills aligned with the topics covered in the course or attend the prerequisites listed below:

• Basic understanding of AI and machine learning concepts
• Familiarity with Python scripting basics

Course Outline:
The course is divided into several sections:

1. Introduction to OpenAI and Azure’s offerings for AI and machine learning
2. Setting up an Azure account and creating a resource group
3. Working with OpenAI’s GPT-3 for text generation
4. Building a GPT-3 based chatbot on Azure
5. Improving text generation quality with OpenAI Whisper
6. Generating unique images with OpenAI DALL-E

Product Usage Instructions

1. Section 1: Introduction to OpenAI and Azure
   In this section, you will learn about the capabilities and products offered by OpenAI. You will also explore how Azure’s offerings for AI and machine learning can complement OpenAI’s tools and resources. This section provides a solid foundation for the rest of the course.

2. Section 2: Setting up an Azure Account
   In this section, you will be guided through the process of setting up an Azure account. You will learn how to create a resource group, which is essential for managing your Azure
   resources efficiently. By the end of this section, you will have a fully functional Azure account ready to be used for the rest of the course.

3. Section 3: Working with GPT-3 for Text Generation
   This section focuses on OpenAI’s GPT-3, one of the most advanced large language models available today. You will learn how to use the OpenAI API to access GPT-3 and leverage its capabilities for generating high-quality text quickly and easily. Hands-on labs and examples will be provided to ensure a practical understanding of GPT-3’s usage.

4. Section 4: Building a GPT-3 Based Chatbot on Azure
   In this section, you will learn how to build a chatbot using GPT-3 on the Azure platform. You will discover how to integrate GPT-3’s natural language processing capabilities into your chatbot projects, enabling advanced interactions with users. Step-by-step instructions and code samples will be provided to assist you in creating your own GPT-3 powered chatbot.

5. Section 5: Improving Text Generation Quality with OpenAI Whisper
   OpenAI Whisper is a tool that enhances the quality of text generation. In this section, you will learn how to utilize Whisper to create more coherent and natural language content. Best practices and techniques for maximizing the effectiveness of Whisper will be covered, allowing you to produce high-quality text outputs for your projects.

6. Section 6: Generating Unique Images with OpenAI DALL-E
   OpenAI DALL-E is a powerful tool for generating unique images. In this section, you will explore the capabilities of DALL-E and learn how to use it to create visually engaging visuals. You will be guided on various techniques and parameters for controlling the image generation process, enabling you to generate customized visuals that align with your project requirements.

Specifications

• Course Name: QuickStart to Azure OpenAI Basics for Technical Users
• Course Code: TTAI2330
• Duration: 1 day
• Delivery Method: Instructor Led

Frequently Asked Questions (FAQ)

• Q: Who is this course suitable for?
  A: This course is designed for experienced technical professionals working in various industries, including software development, data science, marketing and advertising, finance, healthcare, and more. It is suitable for individuals who want to incorporate AI and machine learning techniques into their day-to- day work.

• Q: What are the prerequisites for this course?
  A: It is recommended to have a basic understanding of AI and machine learning concepts. Familiarity with Python scripting basics is also beneficial, as the hands-on labs in the course utilize Python.

• Q: How long is the course?
  A: The course has a duration of 1 day.

• Q: What delivery method is used for this course?
  A: The course is delivered through instructor-led sessions.

Course Outline

• QuickStart to Azure OpenAI Basics for Technical Users
• Course TTAI2330: 1 day Instructor Led

About this course

• Geared for technical professionals, Quick Start to Azure AI Basics for Technical Users is a fun, fast paced course designed to quickly get you up to speed with OpenAI’s powerful tools and functionality, and to provide hands-on experience in setting up an OpenAI environment on Azure. Guided by our AI expert, you’ll explore the capabilities of OpenAI’s GPT-3, Whisper and DALL-E, and build a chatbot on Azure. It will provide you with the knowledge and resources to continue your journey in AI and machine learning and have a good understanding of the potential of OpenAI and Azure for your projects.
• First, you’ll dive into the world of OpenAI, learning about its products and the capabilities they offer. You’ll also discover how Azure’s offerings for AI and machine learning can complement OpenAI’s tools and resources, providing you with a powerful combination for your projects. And don’t worry if you’re new to Azure, we’ll walk you through the process of setting up an account and creating a resource group.
• As you progress through the course, you’ll get the chance to work with OpenAI’s GPT-3, one of the most advanced large language models available today. You’ll learn how to use the OpenAI API to access GPT-3 and discover how to use it to generate high-quality text quickly and easily. And that’s not all, you’ll also learn how to build a GPT-3 based chatbot on Azure, giving you the opportunity to implement advanced natural language processing capabilities in your chatbot projects.
• The course will also cover OpenAI Whisper, an OpenAI tool that can improve the quality of text generation, allowing you to create more coherent and natural language content. And you will learn about OpenAI DALL-E, an OpenAI tool that can generate images, giving you the ability to create unique and engaging visuals to enhance your content and projects.

Audience profile

• This introductory-level course is great for experienced technical professionals working in a wide range of industries, such as software development, data science, marketing and advertising, finance, healthcare, and more, who are looking to use the latest AI and machine learning techniques in their day to day. The hands-on labs in this course use Python, so you should have some familiarity with Python scripting basics.
• Take Before: You should have incoming skills aligned with the topics in the course(s) below, or should attend as a pre-requisite:
  • TTPS4800: Introduction to Python Programming Basics (3 days)

At course completion

• After completing this course, students will be able to:
  • Understand the capabilities and products offered by OpenAI and how to access them through the OpenAI API.
  • set up an OpenAI environment on Azure, including creating an Azure virtual machine and configuring the environment to connect to Azure resources.
  • Gain hands-on experience building a GPT-3 based chatbot on Azure and implement advanced natural language processing capabilities.
  • Use the OpenAI API to access GPT-3 and generate high-quality text.
  • Learn how to use Whisper to improve the quality of text generation.
  • Understand the capabilities of DALL-E and use it to generate images for unique and engaging visuals.
• Introduction to OpenAI and Azure
  • Explore OpenAI and its products, as well as Azure’s offerings for AI and Machine Learning, allowing you to understand the tools and resources available to you for your AI projects.
  • Explore OpenAI and its products
  • Explore Azure and its offerings for AI and Machine Learning
  • Lab: Set up an Azure account and creating a resource group
• Get Hands-On: Setting up an OpenAI environment on Azure
  • Walk through the process of setting up an OpenAI environment on Azure, giving you the hands-on experience needed to start building your own projects using OpenAI and Azure.
  • Create an Azure virtual machine and installing the OpenAI SDK
  • Configure the OpenAI environment and connecting to Azure resources
  • Lab: Set up an OpenAI environment on Azure

Explore OpenAI GPT-3

• Learn about GPT-3, one of OpenAI’s most powerful language models, and how to use it to generate high-quality text, giving you the ability to create natural language content quickly and easily.
• Review GPT-3 and its capabilities
• Use the OpenAI API to access GPT-3
• Lab: Use GPT-3 to generate text
• Get Hands-on: Building a GPT-3 based chatbot on Azure
  • Learn how to build a GPT-3 based chatbot on Azure, giving you the opportunity to learn how to implement advanced natural language processing capabilities in your chatbot projects.
  • Setup an Azure Function and creating a chatbot
  • Integrate GPT-3 with the chatbot
  • Lab: Build a GPT-3 based chatbot on Azure
• OpenAI Whisper
  •  Explore Whisper, an OpenAI tool that can improve the quality of text generation, allowing you to create more coherent and natural language content.
  • Explore Whisper and its capabilities
  • Use Whisper to improve the quality of text generation
  • Lab: Use Whisper to improve the text generated by GPT-3

OpenAI DALL-E

• Explore DALL-E, an OpenAI tool that can generate images, giving you the ability to create unique and engaging visuals to enhance your content and projects.
• Explore DALL-E and its capabilities
• Use the OpenAI API to access DALL-E
• Lab: Use DALL-E to generate images

What’s Next: Keep Going!

• Other ways OpenAI can impact your day to day
• Explore great places to check for expanded tools and add-ons for Azure OpenAI
• Where to go for help and support

Bonus Chapter

• Quick Look at Generative AI and its Business Implications
• Understanding Generative AI
• Generative AI in Business
• Ethical considerations of Generative AI
• Demo: Generative AI in Practice: Briefly demonstrate using OpenAI’s GPT-3 to generate engaging marketing copy. Analyze the output and show how parameters can be modified to refine

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