Microsoft Applied Skills: Gen AI solutions with Azure OpenAI from Udemy

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.

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.

What's inside

Learning objectives

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#

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#

Syllabus

Introduction

Welcome to Udemy

How to get the best out of your Udemy course

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Curriculum

Resources

Using Azure OpenAI in the portal

Creating an Azure account, and exploring Azure interface

Applying for and creating an Azure OpenAI resource

Deploying and using the GPT-3.5-turbo model

What is the prompt?
What is primary content?
What are cues?
What is supporting content?
What are best practices?

What are they?
What do you define?
How can they be used for non-chat environments?
Templates for system messages

Break down the task (use the start of the Azure Studio Code article)
Incorporate previous responses into your next prompt.
Create a chain of thought prompting.
Change the temperature and top_p
Define additional safety and behavioral guardrails

Clear syntax
Specify the output structure
Generate code

Responsible Generative AI

Practice Activity 1

Practice Activity 1 - The Solution

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

The ChatCompletion model

Installing Visual Studio Code and copying connection details

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

Expanding our Python code to use environment variables and additional parameters

Using the 0.28.1 Python library

Python code

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

Expanding our C# code, and using version 1.0.0-beta.9

C# code

Adding assistant messages, in the portal and in code

Practice Activity 2

Practice Activity 2 - The Solution

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

Using DALL-E 2 in the portal

Using DALL-E 2 in Python, using version 0.28.1

Using Python with DALL-E 2

Using DALL-E 2 in C#

Practice Activity 3

Practice Activity 3 - The Solution

Use your own data

Creating Azure resources to use your own data in the portal

Uploading and using our own data in the portal

Use your own data in Python

Use your own data in C#

Practice Activity 4

Practice Activity 4 - The Solution

Deleting Azure resources

Congratulations for completing the course

What's Next?

Bonus Lecture - AI Microsoft Applied Skills

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Prepares learners to apply for the Microsoft Applied Skills certification

Develops skills for Microsoft exam AI-102 "Designing and Implementing a Microsoft Azure AI Solution"

Shows how to deploy an Azure OpenAI resource and model

Guides learners in generating natural language responses using Azure OpenAI

Provides instruction in improving code generation and quality using Azure OpenAI

Explores techniques for generating and improving code using Azure OpenAI

Covers how to generate images with DALL-E in Azure OpenAI

Teaches how to use Azure OpenAI on existing data to enhance models

Includes practice activities and quizzes to reinforce learning

May require learners to have experience with Python and C# for hands-on exercises

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Microsoft Applied Skills: Gen AI solutions with Azure OpenAI with these activities:

Organize course materials

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Prepare your workspace for learning

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Create a dedicated folder for the course materials
Download and arrange all course resources into the folder

Review programming syntax

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Solidify your Python and C# programming knowledge before the course begins

Browse courses on Python

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Review the Python documentation for functions, methods, and data structures
Review the C# documentation for different types, methods, and classes

Read Neural Networks and Deep Learning

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Enhance your understanding of the foundational concepts behind generative AI

View Melania on Amazon

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Read chapters 3-5 of the book
Take notes and summarize the key concepts

Six other activities

Expand to see all activities and additional details

Show all nine activities

Explore Azure OpenAI documentation

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Become familiar with Azure OpenAI's features and capabilities

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Read the Azure OpenAI documentation for an overview of its services
Explore the Azure OpenAI tutorials for specific use cases and examples

Code exercises

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Reinforce your coding skills by working on practice problems

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Solve coding exercises related to the Azure OpenAI service
Debug and optimize your code for efficiency and accuracy

Connect with Azure OpenAI experts

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Seek guidance and support from experienced professionals

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Attend Azure OpenAI community events and meetups
Connect with Azure OpenAI experts on LinkedIn

Attend AI conferences and workshops

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Stay up-to-date on the latest trends and connect with peers

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Register for AI conferences and workshops
Engage in discussions and share your insights

Implement a generative AI solution

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Apply your learning to a practical project

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Design and implement a generative AI solution using Azure OpenAI
Create a presentation or report to showcase your project

Contribute to OpenAI projects

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Deepen your understanding by contributing to real-world projects

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Identify OpenAI projects on GitHub
Suggest improvements or report bugs
Make pull requests to contribute code or documentation

Career center

Learners who complete Microsoft Applied Skills: Gen AI solutions with Azure OpenAI will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

A Machine Learning Engineer designs, develops, and deploys machine learning models. They use their knowledge of computer science, statistics, and machine learning to create models that can learn from data and make predictions. This course can help you build a foundation in machine learning and learn the skills you need to succeed in this role. You will learn how to use Azure OpenAI, a cloud-based AI platform, to develop generative AI solutions. You will also learn how to use prompt engineering techniques to improve the quality of your AI models' responses. If you are interested in a career as a Machine Learning Engineer, this course is a great place to start.

See salaries and explore the career path for Machine Learning Engineer

AI Engineer

An AI Engineer designs, develops, and maintains artificial intelligence (AI) systems. They use their knowledge of computer science, mathematics, and AI to create systems that can learn from data, make decisions, and solve problems. This course can help you build a foundation in AI and learn the skills you need to succeed in this role. You will learn how to deploy and use Azure OpenAI, a cloud-based AI platform, to develop generative AI solutions. You will also learn how to use prompt engineering techniques to improve the quality of your AI models' responses. If you are interested in a career as an AI Engineer, this course is a great place to start.

See salaries and explore the career path for AI Engineer

Software Engineer

A Software Engineer designs, develops, and maintains software applications. They use their knowledge of computer science and programming languages to create software that meets the needs of users. This course can help you build a foundation in software engineering and learn the skills you need to succeed in this role. You will learn how to use Azure OpenAI, a cloud-based AI platform, to develop generative AI solutions. You will also learn how to use prompt engineering techniques to improve the quality of your AI models' responses. If you are interested in a career as a Software Engineer, this course is a great place to start.

See salaries and explore the career path for Software Engineer

Data Scientist

A Data Scientist uses their knowledge of statistics, mathematics, and computer science to extract insights from data. They use their skills to develop models that can predict future trends and make recommendations. This course can help you build a foundation in data science and learn the skills you need to succeed in this role. You will learn how to use Azure OpenAI, a cloud-based AI platform, to develop generative AI solutions. You will also learn how to use prompt engineering techniques to improve the quality of your AI models' responses. If you are interested in a career as a Data Scientist, this course can help you get started.

See salaries and explore the career path for Data Scientist

Marketing Manager

A Marketing Manager is responsible for the development and execution of marketing campaigns. They work with a team of marketers to create campaigns that reach the target audience and achieve the desired results. This course can help you build a foundation in marketing management and learn the skills you need to succeed in this role. You will learn how to use Azure OpenAI, a cloud-based AI platform, to develop generative AI solutions. You will also learn how to use prompt engineering techniques to improve the quality of your AI models' responses. If you are interested in a career as a Marketing Manager, this course is a great place to start.

See salaries and explore the career path for Marketing Manager

Product Manager

A Product Manager is responsible for the development and management of a product. They work with engineers, designers, and marketers to create products that meet the needs of users. This course can help you build a foundation in product management and learn the skills you need to succeed in this role. You will learn how to use Azure OpenAI, a cloud-based AI platform, to develop generative AI solutions. You will also learn how to use prompt engineering techniques to improve the quality of your AI models' responses. If you are interested in a career as a Product Manager, this course is a great place to start.

See salaries and explore the career path for Product Manager

UX Designer

A UX Designer designs the user experience for websites and applications. They use their knowledge of human-computer interaction and design principles to create interfaces that are easy to use and enjoyable. This course can help you build a foundation in UX design and learn the skills you need to succeed in this role. You will learn how to use Azure OpenAI, a cloud-based AI platform, to develop generative AI solutions. You will also learn how to use prompt engineering techniques to improve the quality of your AI models' responses. If you are interested in a career as a UX Designer, this course can help you get started.

See salaries and explore the career path for UX Designer

Project Manager

A Project Manager is responsible for the planning, execution, and delivery of projects. They work with a team of project managers to ensure that projects are completed on time, within budget, and to the required quality.

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Business Analyst

A Business Analyst is responsible for understanding the needs of a business and developing solutions to meet those needs. They work with a team of analysts to gather data, analyze data, and develop recommendations.

See salaries and explore the career path for Business Analyst

Sales Manager

A Sales Manager is responsible for the development and execution of sales strategies. They work with a team of salespeople to achieve sales targets and grow revenue. This course can help you build a foundation in sales management and learn the skills you need to succeed in this role.

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Technical Writer

A Technical Writer is responsible for writing technical documentation, such as user manuals, white papers, and training materials. They work with a team of technical writers to create documentation that is clear, concise, and accurate.

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Customer Success Manager

A Customer Success Manager is responsible for ensuring that customers are satisfied with their products or services. They work with a team of customer success managers to build relationships with customers and resolve their issues.

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Content Writer

A Content Writer is responsible for writing content for websites, blogs, and other marketing materials. They work with a team of content writers to create content that is engaging, informative, and persuasive.

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Social Media Manager

A Social Media Manager is responsible for managing a company's social media accounts. They work with a team of social media managers to create and execute social media campaigns.

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Operations Manager

An Operations Manager is responsible for planning, organizing, and controlling the operations of a business. They work with a team of operations managers to ensure that the business runs smoothly and efficiently.

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