Building AI-Powered Application with .NET

This Labor Day, enjoy $120 off Coursera Plus. Unlock access to 10,000+ programs. Save today.

Building AI-Powered Application with .NET

Instructor: Packt - Course Instructors

11 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

11 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Understand AI and machine learning fundamentals and their role in application development.
Set up and configure a development environment for .NET-based AI applications.
Implement machine learning models using ML.NET for .NET applications.
Use Azure AI services and OpenAI to build advanced generative AI-powered solutions.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

There are 11 modules in this course

This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you'll learn how to build AI-powered applications using .NET. By exploring both foundational concepts and advanced tools, you'll gain the skills to integrate machine learning models, generative AI, and Azure AI services into .NET-based applications. You’ll also work with popular tools like ML.NET, Microsoft Copilot, and Azure Machine Learning to craft solutions that enhance your projects and workflows. You’ll begin by exploring the evolution of AI and machine learning, covering both foundational theory and real-world applications. From there, you'll dive into the development environment, setting up Visual Studio and ML.NET to train models and integrate them into .NET applications. As you progress, you'll discover powerful tools such as Azure AI and OpenAI, leveraging these technologies to build intelligent applications, including sentiment analysis tools and image classifiers. This course is ideal for developers who want to integrate cutting-edge AI techniques into their applications. With practical exercises on creating and deploying AI models, you'll not only understand the theory but also be able to implement AI solutions across multiple platforms.

In this module, we will introduce the course, providing an overview of how to build AI-powered applications using .NET. You’ll gain insight into the course structure, tools, and technologies you’ll learn throughout.

What's included

1 video1 reading

In this module, we will dive into the core concepts of AI and machine learning, discussing their history, applications, and ethical considerations. You'll also gain a deeper understanding of how these fields have evolved and their current state.

What's included

6 videos1 assignment1 plugin

6 videosTotal 17 minutes

Section Overview0 minutes
Overview and History of AI3 minutes
Overview of Machine Learning3 minutes
What is Generative AI?5 minutes
Ethical Implications of AI3 minutes
Section Review0 minutes

1 assignmentTotal 15 minutes

Introduction to Machine Learning and AI - Assessment15 minutes

1 pluginTotal 15 minutes

Introduction to AI and ML Applications15 minutes

In this module, we will cover the fundamentals of machine learning, including algorithms, training procedures, and types of machine learning. This will lay the groundwork for understanding how to develop and deploy machine learning models.

What's included

6 videos1 assignment1 plugin

6 videosTotal 15 minutes

Section Overview0 minutes
Machine Learning Algorithms5 minutes
Types of Machine Learning: Supervised, Unsupervised, Reinforcement1 minute
Key Concepts: Training, Testing, Validation2 minutes
Understanding Neural Networks3 minutes
Section Review0 minutes

1 assignmentTotal 15 minutes

Machine Learning Basics - Assessment15 minutes

1 pluginTotal 15 minutes

Introduction to Machine Learning Techniques15 minutes

In this module, we will guide you through setting up the development environment for AI-powered applications using .NET. You'll ensure the right tools and configurations are in place to begin building your AI solutions.

What's included

4 videos1 assignment1 plugin

In this module, we will explore ML.NET, its features, and its role in machine learning development. You’ll learn to create projects, load data, train models, and integrate them into .NET applications.

What's included

11 videos1 assignment1 plugin

11 videosTotal 43 minutes

Section Overview0 minutes
What is ML.NET?4 minutes
Installing ML.NET Model Builder (Visual Studio)1 minute
Project Creation2 minutes
Data Preparation and Loading7 minutes
Data Loading and Training Overview3 minutes
Training the Model4 minutes
Using Visual Studio Code (Linux, Mac, and Windows alternative)6 minutes
Consume a Model in a .NET Console App9 minutes
Consume a Model in a .NET API4 minutes
Section Review0 minutes

1 assignmentTotal 15 minutes

Introduction to ML.NET - Assessment15 minutes

1 pluginTotal 15 minutes

Creating and Deploying an ML.NET Model15 minutes

In this module, we will dive into generative AI tools like Azure OpenAI and GitHub Copilot. You’ll learn to use these tools to improve productivity and create smarter AI-driven solutions.

What's included

12 videos1 assignment1 plugin

12 videosTotal 39 minutes

Section Overview0 minutes
What is Generative AI?2 minutes
Different Language Models3 minutes
Using Azure OpenAI Models1 minute
Understanding Copilots2 minutes
Using Microsoft Copilot6 minutes
Effective Prompting3 minutes
Understanding GitHub Copilot3 minutes
Create GitHub Copilot Account4 minutes
Using GitHub Copilot with VS Code10 minutes
Developing Copilots1 minute
Section Review0 minutes

1 assignmentTotal 15 minutes

Generative AI Tools and Copilots - Assessment15 minutes

1 pluginTotal 15 minutes

Exploring Generative AI Applications with GitHub Copilot15 minutes

In this module, we will introduce Microsoft Azure’s AI services and demonstrate how to set them up for your projects. You’ll also explore tools for content moderation and safety using Azure services.

What's included

7 videos1 assignment1 plugin

7 videosTotal 31 minutes

Section Overview0 minutes
Overview of Microsoft Azure3 minutes
Understanding Azure AI Services4 minutes
Provision Azure AI Services4 minutes
Exploring Content Safety Studio7 minutes
Create a Moderated Text Analyzer9 minutes
Section Review1 minute

1 assignmentTotal 15 minutes

Azure AI Services Fundamentals - Assessment15 minutes

1 pluginTotal 15 minutes

Exploring Azure AI Services15 minutes

In this module, we will explore Azure Machine Learning, its capabilities, and the process of deploying and testing machine learning models. You’ll also learn to integrate them into .NET applications for real-world use cases.

What's included

7 videos1 assignment1 plugin

7 videosTotal 26 minutes

Section Overview0 minutes
What is Microsoft Azure Machine Learning?2 minutes
Provisioning the Azure ML Resource2 minutes
Using Automated ML to Train a Model11 minutes
Deploy and Test the Model3 minutes
Test Endpoint in Console App5 minutes
Section Review0 minutes

1 assignmentTotal 15 minutes

Azure Machine Learning - Assessment15 minutes

1 pluginTotal 15 minutes

Exploring Azure Machine Learning Workspaces15 minutes

In this module, we will show you how to leverage Azure AI Cognitive Services to create intelligent applications. You’ll work with text and image processing tools to build real-world AI-powered solutions.

What's included

17 videos1 assignment1 plugin

17 videosTotal 98 minutes

Section Overview0 minutes
Understanding Natural Language Processing4 minutes
Text Classification with ML3 minutes
Text Analysis with Azure AI2 minutes
Using Azure AI Language Studio6 minutes
Create a Sentiment Analysis Application16 minutes
Understanding Computer Vision1 minute
Image Processing Using Machine Learning5 minutes
Transformers and Multi-Modal Models3 minutes
Understanding Azure AI Vision0 minutes
Using Azure AI Vision Studio3 minutes
Build Image Classification Application16 minutes
Understanding Document Intelligence1 minute
Using Azure Document Intelligence Studio7 minutes
Build Receipt Analysis Application - Part 116 minutes
Build Receipt Analysis Application - Part 28 minutes
Section Review1 minute

1 assignmentTotal 15 minutes

Creating Smart Solutions with .NET and Azure AI Cognitive Services - Assessment15 minutes

1 pluginTotal 15 minutes

Exploring Cognitive Services with Azure AI Vision15 minutes

In this module, we will dive into the world of generative AI with Azure OpenAI, teaching you how to build intelligent chat agents, create code with AI, and generate images using advanced AI models.

What's included

17 videos1 assignment1 plugin

17 videosTotal 101 minutes

Section Overview0 minutes
Introducing Azure OpenAI2 minutes
Provisioning Azure OpenAI1 minute
Exploring Azure AI Studio12 minutes
Different Generative AI Models2 minutes
Create Chat Agent with Azure OpenAI Model12 minutes
Prompt Engineering Fundamentals3 minutes
Additional Prompt Engineering Tips5 minutes
Understanding Code Generation from Natural Language1 minute
Code Generation with AI Studio4 minutes
Create a Programming Assistant11 minutes
Review the DALL-E Model3 minutes
Generating Images with a DALL-E Model11 minutes
Understanding Retrieval Augmented Generation (RAG)3 minutes
Retrieval Augmented Generation (RAG) with AI Studio12 minutes
Using Retrieval Augmented Generation (RAG) in an Application9 minutes
Section Review1 minute

1 assignmentTotal 15 minutes

Creating GenAI Solutions Using .NET and Azure OpenAI - Assessment15 minutes

1 pluginTotal 15 minutes

Creating Generative AI Solutions with .NET and Azure OpenAI15 minutes

In this final module, we will provide important guidance on managing Azure resources and review the key takeaways from the course. You’ll be ready to apply your new AI development skills confidently.

What's included

2 videos2 assignments

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Packt - Course Instructors

Packt

840 Courses185,843 learners

Offered by

Packt

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Learn more

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Explore degrees

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Learn more

Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.