Microsoft Applied Skills Gen Ai Solutions With Azure Openai

What you'll learn
Deploy an Azure OpenAI resource and an Azure OpenAI model
Generate natural language responses by using Azure OpenAI, including using Python and C#
Apply prompt engineering techniques by using Azure OpenAI
Generate and improve code by using Azure OpenAI
Generate images with DALL-E in Azure OpenAI, including using Python and C#
Use Azure OpenAI on your data, including using Python and C#
Requirements
There are no requirements for watching the course.
If you want to program in Python or C#, then you will need to download Visual Studio Code. It is available for Windows, macOS and Linux.
Description
This course goes through all of the skills required for the Microsoft Applied Skills: Develop generative AI solutions with Azure OpenAI Service.In this 3 hour course we'll cover the skills that you need for the Microsoft Applied Skills credential for generative AI.The tasks that you need to perform to get this skill areeploy an Azure OpenAI resource and an Azure OpenAI model. We'll create an Azure account using a free trial, and then apply for permission to create and Azure OpenAI resource. Once that permission is generated, we'll create the resource, and deploy a GPT-3.5-turbo model in the Azure OpenAI Studio.Generate natural language responses by using Azure OpenAI. We'll use the Chat playground to send prompts and receive responses. We will also download Visual Studio Code and write code in Python and C#.Apply prompt engineering techniques by using Azure OpenAI. We'll improve the quality of the prompts with Primary and Supporting Content, cues, system and assistant messages, chain of thought prompting, and more.Generate and improve code by using Azure OpenAI. We'll create and amend Python, C# and SQL code, using section dividers, comments, and unit tests.Generate images with DALL-E in Azure OpenAI. We'll create images based on prompts, and write code in Python and C# to generate it in our program.Use Azure OpenAI on your data. We'll upload PDFs into our GPT-3.5-turbo model, which will provide updated information or company documents for our GPT model to use.There are several Practice Activities and quizzes throughout the course, so you can be sure that you are learning. By the end of the course, you'll be much more confident about developing generative AI solutions with Azure OpenAI Service and perhaps even take the official Microsoft assessment. That would look great on your CV or resume.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Welcome to Udemy
Lecture 3 How to get the best out of your Udemy course
Lecture 4 Do you want auto-translated subtitles in more languages?
Lecture 5 Curriculum
Lecture 6 Resources
Section 2: Using Azure OpenAI in the portal
Lecture 7 Creating an Azure account, and exploring Azure interface
Lecture 8 Applying for and creating an Azure OpenAI resource
Lecture 9 Deploying and using the GPT-3.5-turbo model
Lecture 10 Generate Natural Language Solution responses
Lecture 11 Prompt engineering - Using System messages
Lecture 12 Apply other prompt engineering techniques
Lecture 13 Creating code in the portal
Lecture 14 Responsible Generative AI
Lecture 15 Practice Activity 1
Section 3: Connecting to the GPT-3.5-turbo model using Python and C#
Lecture 16 The ChatCompletion model
Lecture 17 Installing Visual Studio Code and copying connection details
Lecture 18 Using Python to connect to the GPT-3.5-turbo model, using version 1.x
Lecture 19 Expanding our Python code to use environment variables and additional parameters
Lecture 20 Using the 0.28.1 Python library
Lecture 21 Using C# to connect to the OpenAI Resource, using version 1.0.0-beta.13
Lecture 22 Expanding our C# code, and using version 1.0.0-beta.9
Lecture 23 Adding assistant messages, in the portal and in code
Lecture 24 Practice Activity 2
Section 4: Using DALL-E 2, using the portal and in code
Lecture 25 Using DALL-E 2 in the portal
Lecture 26 Using DALL-E 2 in Python, using version 0.28.1
Lecture 27 Using DALL-E 2 in C#
Lecture 28 Practice Activity 3
Section 5: Use your own data
Lecture 29 Creating Azure resources to use your own data in the portal
Lecture 30 Uploading and using our own data in the portal
Lecture 31 Use your own data in Python
Lecture 32 Use your own data in C#
Lecture 33 Practice Activity 4
Lecture 34 Deleting Azure resources
Section 6: Congratulations for completing the course
Lecture 35 What's Next?
Lecture 36 Congratulations for completing the course
This is for you if you want to use Generative Artificial Intelligence, either using a portal or programming using Python or C#.,This course will guide you through the skills required for the Microsoft Applied Skills credential "Develop generative AI solutions with Azure OpenAI Service".,This is especially for you if you are, or want to be, an AI Engineer, App Maker, or Developer, or just want to learn more about Gen AI.


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