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Microsoft Applied Skills: Gen AI solutions with Azure OpenAI

IT & Software

Microsoft Applied Skills: Gen AI solutions with Azure OpenAI, available at $44.99, has an average rating of 4.48, with 43 lectures, 5 quizzes, based on 184 reviews, and has 1487 subscribers.

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You will learn about 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# This course is ideal for individuals who are This is for you if you want to use Generative Artificial Intelligence, either using a portal or programming using Python or C#. or This course will guide you through the skills required for the Microsoft Applied Skills credential "Develop generative AI solutions with Azure OpenAI Service". or 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. It is particularly useful for This is for you if you want to use Generative Artificial Intelligence, either using a portal or programming using Python or C#. or This course will guide you through the skills required for the Microsoft Applied Skills credential "Develop generative AI solutions with Azure OpenAI Service". or 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.

Enroll now: Microsoft Applied Skills: Gen AI solutions with Azure OpenAI

Summary

Title: Microsoft Applied Skills: Gen AI solutions with Azure OpenAI

Price: $44.99

Average Rating: 4.48

Number of Lectures: 43

Number of Quizzes: 5

Number of Published Lectures: 43

Number of Published Quizzes: 5

Number of Curriculum Items: 48

Number of Published Curriculum Objects: 48

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will 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#

Who Should Attend

  • 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.

Target Audiences

  • 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.

This course goes through all of the skills required for the Microsoft Applied Skills: Develop generative AI solutions with Azure OpenAI Service.

This course has been updated in line with the expanded Study Guide (June 2024).

What do people like you say about this course?

Antonina says: Great course for beginners, thank you!

Steven says: Good intro to using Python and C# to interact with Microsoft Azure AI services. Philip is a terrific instructor, clear and concise. Course has good examples & exercises.

In this 3 hour course we’ll cover the skills that you need for the APL-3006 Microsoft Applied Skills credential for generative AI.

It will also help with the Microsoft exam AI-102 “Designing and Implementing a Microsoft Azure AI Solution”.

The tasks that you need to perform to get this skill are:

  • Deploy 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 (this is the technology behind ChatGPT) in the Azure OpenAI Studio.

  • Generate natural language responses by using Azure OpenAI. We’ll use the GPT 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, with our GPT Playground (or ChatGPT).

  • 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, using GPT, ChatGPT or DALL-E and perhaps even take the official Microsoft assessment. That would look great on your CV or resume.

Course Curriculum

Chapter 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

Chapter 2: Using Azure OpenAI in the portal

Lecture 1: Creating an Azure account, and exploring Azure interface

Lecture 2: 1. Applying for and creating an Azure OpenAI resource

Lecture 3: 2, 3. Deploying and using the GPT-3.5-turbo model

Lecture 4: Generate Natural Language Solution responses

Lecture 5: 8, 9. Prompt engineering – Using System messages

Lecture 6: 10. Apply other prompt engineering techniques, including few shot learning

Lecture 7: 11, 12, 13, 14. Creating code in the portal

Lecture 8: 15, 16. Documenting and refactoring code

Lecture 9: Responsible Generative AI

Lecture 10: Practice Activity 1

Lecture 11: Practice Activity 1 – The Solution

Chapter 3: Connecting to the GPT-3.5-turbo model using Python and C#

Lecture 1: The ChatCompletion model

Lecture 2: 4. Installing Visual Studio Code and copying connection details

Lecture 3: 5. Using Python to connect to the GPT-3.5-turbo model, using version 1.x

Lecture 4: 6, 7. Expanding Python code to use environment variables+ additional parameters

Lecture 5: 5, 6, 7. Using the 0.28.1 Python library

Lecture 6: 5. Using C# to connect to the OpenAI Resource, using version 1.0.0-beta.13

Lecture 7: 5, 6, 7. Expanding our C# code, and using version 1.0.0-beta.9

Lecture 8: 6, 10. Adding assistant messages, in the portal and in code

Lecture 9: C# – Version 2.0.0-beta.2

Lecture 10: Practice Activity 2

Lecture 11: Practice Activity 2 – The Solution

Chapter 4: Using DALL-E 2, using the portal and in code

Lecture 1: 17. Using DALL-E 2 in the portal

Lecture 2: 18, 19. Using DALL-E 2 in Python, using version 0.28.1

Lecture 3: 18, 19. Using DALL-E 2 in C#

Lecture 4: Practice Activity 3

Lecture 5: Practice Activity 3 – The Solution

Chapter 5: Use your own data

Lecture 1: Creating Azure resources to use your own data in the portal

Lecture 2: 20. Uploading and using our own data in the portal

Lecture 3: 21. Use your own data in Python

Lecture 4: 21. Use your own data in C#

Lecture 5: Practice Activity 4

Lecture 6: Practice Activity 4 – The Solution

Lecture 7: Deleting Azure resources

Chapter 6: Congratulations for completing the course

Lecture 1: What's Next?

Lecture 2: Congratulations for completing the course

Lecture 3: Bonus Lecture – AI Microsoft Applied Skills

Instructors

Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 3 votes
  • 3 stars: 14 votes
  • 4 stars: 76 votes
  • 5 stars: 90 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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