Generative AI for .NET Developers with Azure AI Services

سرفصل های دوره

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

1 - Introduction

1 -Introduction

2 - Introduction to Machine Learning and AI

1 -Section Overview

2 -Overview and History of AI

3 -Overview of Machine Learning

4 -What is Generative AI

5 -Ethical implications of AI

6 -Section Review

3 - Machine Learning Basics

1 -Section Overview

2 -Machine Learning Algorithms

3 -Types of Machine Learning Supervised, Unsupervised, Reinforcement

4 -Key concepts Training, Testing, Validation

5 -Understanding Neural Networks

6 -Section Review

4 - Development Environment Setup

1 -Section Overview

2 -Visual Studio and .NET Versions Check

3 -Visual Studio Code Setup

4 -Section Review

5 - Introduction to ML.NET

1 -Section Overview

2 -What is ML.NET

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

4 -Project Creation

5 -Data Preparation and Loading

5 -ai4i 2020 predictive maintenance dataset.zip

6 -Data Loading and Training Overview

7 -Training the Model

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

9 -Consume a model in a .NET console app

10 -Consume a model in a .NET API

11 -Section Review

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

2 -What is generative AI

3 -Different language models

4 -Using Azure OpenAI models

5 -Understanding Copilots

6 -Using Microsoft Copilot

7 -Effective prompting

8 -Understanding GitHub Copilot

9 -Create GitHub Copilot Account

10 -Using GitHub Copilot with VS Code

11 -Developing copilots

12 -Section Review

7 - Azure AI Services Fundamentals

1 -Section Overview

2 -Overview of Microsoft Azure

3 -Understanding Azure AI Services

4 -Provision Azure AI Services

5 -Exploring Content Safety Studio

6 -Create a Moderated Text Analyser

7 -Section Review

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

2 -Understanding Natural Language Processing

3 -Text classification with ML

4 -Text Analysis with Azure AI

5 -Using Azure AI Language Studio

6 -Create a Sentiment Analysis Application

6 -source code.zip

7 -Understanding Computer Vision

8 -Image processing using Machine Learning

9 -Transformers and Multi-modal Models

10 -Understanding Azure AI Vision

11 -Using Azure AI Vision Studio

12 -Build Image Classification Application

12 -source code.zip

13 -Understanding Document Intelligence

14 -Using Azure Document Intelligence Studio

15 -Build Receipt Analysis Application - Part 1

16 -Build Receipt Analysis Application - Part 2

16 -source code.zip

17 -Section Overview

17 - Delete Your Azure Resources.html

9 - Azure Machine Learning

1 -Section Overview

2 -What is Microsoft Azure Machine Learning

3 -Provisioning the Azure ML Resource

4 -Using Automated ML To Train a Model

4 -bike-data.zip

4 - Sample Data.html

5 -Deploy and Test the Model

6 -Test Endpoint in Console App

7 -Section Review

7 - Sample Test Data Model.html

10 - Creating GenAI Solutions using .NET and Azure OpenAI

1 -Section Overview

2 -Introducing Azure OpenAI

3 -Provisioning Azure OpenAI

4 -Exploring Azure AI Studio

5 -Different generative AI models

6 -Prompt Engineering Fundamentals

7 -Additional prompt engineering tips

8 -Create Chat Agent with Azure OpenAI model

9 -Understanding code generation from natural language

10 -Code generation with AI Studio

11 -Create a programming assistant

12 -Review the Dall-E Model

13 -Generating images with a DALL-E model

14 -Understanding Retrieval Augmented Generation (RAG)

15 -Retrieval Augmented Generation (RAG) with AI Studio

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

17 -Section Review

11 - Conclusion

1 -Delete Your Azure Resources

2 -Final Thoughts

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تولید کننده: Udemy