Generative AI for .NET Developers with Azure AI Services

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Trevoir Williams

6:36:16

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1 - Introduction

1 -Introduction.mp4

03:45

2 - Introduction to Machine Learning and AI

1 -Section Overview.mp4

00:42

2 -Overview and History of AI.mp4

03:01

3 -Overview of Machine Learning.mp4

03:15

4 -What is Generative AI.mp4

05:51

5 -Ethical implications of AI.mp4

03:49

6 -Section Review.mp4

00:47

3 - Machine Learning Basics

1 -Section Overview.mp4

00:44

2 -Machine Learning Algorithms.mp4

05:34

3 -Types of Machine Learning Supervised, Unsupervised, Reinforcement.mp4

01:26

4 -Key concepts Training, Testing, Validation.mp4

02:40

5 -Understanding Neural Networks.mp4

03:59

6 -Section Review.mp4

00:46

4 - Development Environment Setup

1 -Section Overview.mp4

00:37

2 -Visual Studio and .NET Versions Check.mp4

04:29

3 -Visual Studio Code Setup.mp4

03:51

4 -Section Review.mp4

00:32

5 - Introduction to ML.NET

1 -Section Overview.mp4

00:42

2 -What is ML.NET.mp4

04:13

3 -Installing ML.NET Model Builder (Visual Studio).mp4

01:07

4 -Project Creation.mp4

02:10

5 -Data Preparation and Loading.mp4

07:00

5 -ai4i 2020 predictive maintenance dataset.zip

6 -Data Loading and Training Overview.mp4

03:10

7 -Training the Model.mp4

04:03

8 -Using Visual Studio Code (Linux, Mac and Windows alternative).mp4

06:44

9 -Consume a model in a .NET console app.mp4

09:09

10 -Consume a model in a .NET API.mp4

04:20

11 -Section Review.mp4

00:40

11 - Next steps in your ML.NET journey (community, resources).html

11 - Section Source Code.html

6 - Generative AI Tools and Copilots

1 -Section Overview.mp4

00:41

2 -What is generative AI.mp4

02:25

3 -Different language models.mp4

03:06

4 -Using Azure OpenAI models.mp4

01:41

5 -Understanding Copilots.mp4

02:39

6 -Using Microsoft Copilot.mp4

06:29

7 -Effective prompting.mp4

03:03

8 -Understanding GitHub Copilot.mp4

03:14

9 -Create GitHub Copilot Account.mp4

04:07

10 -Using GitHub Copilot with VS Code.mp4

10:09

11 -Developing copilots.mp4

01:21

12 -Section Review.mp4

00:28

7 - Azure AI Services Fundamentals

1 -Section Overview.mp4

00:37

2 -Overview of Microsoft Azure.mp4

03:40

3 -Understanding Azure AI Services.mp4

04:53

4 -Provision Azure AI Services.mp4

04:26

5 -Exploring Content Safety Studio.mp4

07:23

6 -Create a Moderated Text Analyser.mp4

09:39

7 -Section Review.mp4

01:03

7 - Delete Your Azure Resources.html

7 - Section Source Code.html

8 - Creating smart solutions with .NET and Azure AI Cognitive Services

1 -Section Overview.mp4

00:41

2 -Understanding Natural Language Processing.mp4

04:00

3 -Text classification with ML.mp4

03:28

4 -Text Analysis with Azure AI.mp4

02:14

5 -Using Azure AI Language Studio.mp4

06:09

6 -Create a Sentiment Analysis Application.mp4

16:04

6 -source code.zip

7 -Understanding Computer Vision.mp4

01:39

8 -Image processing using Machine Learning.mp4

05:18

9 -Transformers and Multi-modal Models.mp4

03:17

10 -Understanding Azure AI Vision.mp4

00:40

11 -Using Azure AI Vision Studio.mp4

03:03

12 -Build Image Classification Application.mp4

16:07

12 -source code.zip

13 -Understanding Document Intelligence.mp4

01:54

14 -Using Azure Document Intelligence Studio.mp4

07:20

15 -Build Receipt Analysis Application - Part 1.mp4

16:55

16 -Build Receipt Analysis Application - Part 2.mp4

08:05

16 -source code.zip

17 -Section Overview.mp4

01:27

17 - Delete Your Azure Resources.html

9 - Azure Machine Learning

1 -Section Overview.mp4

00:27

2 -What is Microsoft Azure Machine Learning.mp4

02:00

3 -Provisioning the Azure ML Resource.mp4

02:53

4 -Using Automated ML To Train a Model.mp4

11:41

4 -bike-data.zip

4 - Sample Data.html

5 -Deploy and Test the Model.mp4

03:07

6 -Test Endpoint in Console App.mp4

05:34

7 -Section Review.mp4

00:58

7 - Sample Test Data Model.html

10 - Creating GenAI Solutions using .NET and Azure OpenAI

1 -Section Overview.mp4

00:57

2 -Introducing Azure OpenAI.mp4

02:24

3 -Provisioning Azure OpenAI.mp4

01:28

4 -Exploring Azure AI Studio.mp4

12:30

5 -Different generative AI models.mp4

02:32

6 -Prompt Engineering Fundamentals.mp4

03:32

7 -Additional prompt engineering tips.mp4

05:24

8 -Create Chat Agent with Azure OpenAI model.mp4

12:33

9 -Understanding code generation from natural language.mp4

01:44

10 -Code generation with AI Studio.mp4

04:13

11 -Create a programming assistant.mp4

11:28

12 -Review the Dall-E Model.mp4

03:37

13 -Generating images with a DALL-E model.mp4

11:54

14 -Understanding Retrieval Augmented Generation (RAG).mp4

03:39

15 -Retrieval Augmented Generation (RAG) with AI Studio.mp4

12:30

16 -Using Retrieval Augmented Generation (RAG) in an application.mp4

09:41

17 -Section Review.mp4

01:04

11 - Conclusion

1 -Delete Your Azure Resources.mp4

01:35

2 -Final Thoughts.mp4

08:20

Description

Learn to develop smart .NET applications backed by powerful generative AI components

What You'll Learn?

Understand the Fundamentals of Generative AI
Integrate Azure AI Services with .NET
Work with Natural Language Processing (NLP)
Develop AI-Enhanced Applications
Develop generative AI solutions using .NET and Azure OpenAI Services
Integrate with Azure AI Cognitive Services
Explore Machine Learning Fundamentals
Develop and train models using Azure ML
Use ML Builder to develop and train local neural network models
Implement grounded Retrieval-Augmented Generation (RAG) generative AI applications
Use Azure AI Studio to explore and deploy OpenAI models for text and image generation
Explore and implement GPT and DALL-E OpenAI models

Who is this for?

Developers

Technical Leads

Business Managers

What You Need to Know?

Some experience with C#

Knowledge of basic web development concepts

More details

Description
Unlock the potential of Generative AI and take your .NET applications to new heights with Generative AI for .NET Developers with Azure AI Services. This comprehensive course will equip developers, business leaders, and technical specialists with the tools, knowledge, and confidence to build, deploy, and manage AI-powered applications that drive real value. Whether you're a developer eager to add AI skills to your toolkit or a manager looking to enhance your teamâ€™s AI capabilities, this course provides a step-by-step pathway to mastering generative AI on Azure.
What Youâ€™ll Learn:
In this course, youâ€™ll gain hands-on experience with Azureâ€™s cutting-edge AI services, from foundational concepts to advanced techniques. Our carefully designed curriculum ensures you understand how generative AI works and why itâ€™s transforming industries across the globe. Key takeaways include:
Foundational Knowledge of Generative AI and Key Algorithms: Understand the principles behind generative AI, including neural networks, transformers, and models like GANs. Learn how these concepts empower real-world applications like chatbots, image generation, and content automation.
Practical Skills with Azureâ€™s AI Tools: From Azure OpenAI to Cognitive Services, explore how Azureâ€™s robust AI ecosystem enables integrating advanced AI capabilities without complex setups. Through labs and practical exercises, youâ€™ll become fluent in leveraging these tools directly in .NET applications.
Real-World Applications of AI in .NET Development: Apply your new skills to projects that simulate business scenarios. Build real-value applications, from automated customer support to intelligent document generation, that demonstrate AI's impact on your business.
Scalable and Secure Deployment on Azure: Learn how to deploy AI models in the cloud with Azureâ€™s reliable, scalable infrastructure. With best practices in security, cost management, and performance monitoring, youâ€™ll be prepared to create AI solutions that are both efficient and sustainable.
Responsible and Ethical AI: Get guidance on implementing AI responsibly, emphasizing ethics, transparency, and data privacy. Azureâ€™s AI tools provide built-in features to ensure your AI applications are fair, secure, and trustworthy.
Who Should Enroll?
This course is ideal for:
Developers and Technical Leads: Gain in-demand skills to build advanced .NET applications powered by Azureâ€™s AI services, giving you a competitive edge in the marketplace.
Managers and Business Decision Makers: Discover how generative AI can enhance operations, drive innovation, and create value, empowering you to make strategic decisions about AI implementation.
Training Specialists and Learning & Development Teams: Equip your workforce with the tools and knowledge to excel in the age of AI, fostering innovation and efficiency within your organization.
Why Choose This Course?
This is more than just a training program â€“ itâ€™s a complete learning journey. Youâ€™ll benefit from clear, engaging explanations, hands-on labs for every concept, and real-world projects that bring generative AI to life. By the end of this course, youâ€™ll not only have a portfolio of AI-driven .NET applications but also the skills to deploy, manage, and innovate with AI solutions confidently.
Join us in this transformative learning experience and see how generative AI can reshape your development process, enhance customer engagement, and drive operational success. Together, weâ€™ll turn complex AI concepts into actionable business insights and solutions that bring measurable impact.
Enroll now and letâ€™s start building the intelligent applications of tomorrow!
Who this course is for:
Developers
Technical Leads
Business Managers

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Microsoft Azure

Trevoir Williams

Instructor's Courses

Trevoir Williams is a passionate software and system engineer with a strong drive to share the best of his knowledge with students around the globe. His educational achievements include a Master’s degree in Computer Science (major in Software Development) and several Microsoft Azure Certifications.His impressive work experience includes software consulting, software engineering, database development, cloud system, and server administration, lecturing, and he’s also a musician!Trevoir enjoys teaching IT and development skills and guides students in gaining the latest knowledge with practical application in the modern industry.

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