Master GenAI for .NET: Azure AI & OpenAI Integration 2024
Focused View
6:36:16
1 -Introduction.mp4
03:45
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
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
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
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
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
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
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
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
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
1 -Delete Your Azure Resources.mp4
01:35
2 -Final Thoughts.mp4
08:20
More details
Course Overview
This comprehensive course teaches .NET developers to build cutting-edge generative AI applications using Azure AI Services, OpenAI models, and ML.NET for enterprise solutions.
What You'll Learn
- Integrate Azure OpenAI with .NET applications
- Develop RAG solutions and AI-enhanced apps
- Master prompt engineering and model deployment
Who This Is For
- .NET developers expanding into AI
- Technical leads architecting AI solutions
- Business managers overseeing AI projects
Key Benefits
- Hands-on with GPT, DALL-E and Azure AI Studio
- Practical ML.NET and cognitive services integration
- Real-world projects with source code included
Curriculum Highlights
- Azure AI & ML.NET Fundamentals
- Generative AI & Cognitive Services
- Advanced OpenAI & RAG Implementation
Focused display
Category
- language english
- Training sessions 90
- duration 6:36:16
- Release Date 2025/04/26
