Generative Ai For .Net Developers With Azure Ai Services
Published 11/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
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
Azure OpenAI Services
Azure AI Cognitive Services
Machine Learning Fundamentals
Azure ML
ML Builder in Visual Studio and Visual Studio Code
Retrieval-Augmented Generation (RAG)
Azure AI Studio
GPT and DALL-E
Requirements
Some experience with C#
Knowledge of basic web development concepts
Description
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Introduction to Machine Learning and AI
Lecture 2 Section Overview
Lecture 3 Overview and History of AI
Lecture 4 Overview of Machine Learning
Lecture 5 What is Generative AI?
Lecture 6 Ethical implications of AI
Lecture 7 Section Review
Section 3: Machine Learning Basics
Lecture 8 Section Overview
Lecture 9 Machine Learning Algorithms
Lecture 10 Types of Machine Learning: Supervised, Unsupervised, Reinforcement
Lecture 11 Key concepts: Training, Testing, Validation
Lecture 12 Understanding Neural Networks
Lecture 13 Section Review
Section 4: Development Environment Setup
Lecture 14 Section Overview
Lecture 15 Visual Studio and .NET Versions Check
Lecture 16 Visual Studio Code Setup
Lecture 17 Section Review
Section 5: Introduction to ML.NET
Lecture 18 Section Overview
Lecture 19 What is ML.NET?
Lecture 20 Installing ML.NET Model Builder (Visual Studio)
Lecture 21 Project Creation
Lecture 22 Data Preparation and Loading
Lecture 23 Data Loading and Training Overview
Lecture 24 Training the Model
Lecture 25 Using Visual Studio Code (Linux, Mac and Windows alternative)
Lecture 26 Consume a model in a .NET console app
Lecture 27 Consume a model in a .NET API
Lecture 28 Section Source Code
Lecture 29 Next steps in your ML.NET journey (community, resources)
Lecture 30 Section Review
Section 6: Generative AI Tools and Copilots
Lecture 31 Section Overview
Lecture 32 What is generative AI?
Lecture 33 Different language models
Lecture 34 Using Azure OpenAI models
Lecture 35 Understanding Copilots
Lecture 36 Using Microsoft Copilot
Lecture 37 Effective prompting
Lecture 38 Understanding GitHub Copilot
Lecture 39 Create GitHub Copilot Account
Lecture 40 Using GitHub Copilot with VS Code
Lecture 41 Developing copilots
Lecture 42 Section Review
Section 7: Azure AI Services Fundamentals
Lecture 43 Section Overview
Lecture 44 Overview of Microsoft Azure
Lecture 45 Understanding Azure AI Services
Lecture 46 Provision Azure AI Services
Lecture 47 Exploring Content Safety Studio
Lecture 48 Create a Moderated Text Analyser
Lecture 49 Section Source Code
Lecture 50 Delete Your Azure Resources
Lecture 51 Section Review
Lecture 52 Section Overview
Lecture 53 Understanding Natural Language Processing
Lecture 54 Text classification with ML
Lecture 55 Text Analysis with Azure AI
Lecture 56 Using Azure AI Language Studio
Lecture 57 Create a Sentiment Analysis Application
Lecture 58 Understanding Computer Vision
Lecture 59 Image processing using Machine Learning
Lecture 60 Transformers and Multi-modal Models
Lecture 61 Understanding Azure AI Vision
Lecture 62 Using Azure AI Vision Studio
Lecture 63 Build Image Classification Application
Lecture 64 Understanding Document Intelligence
Lecture 65 Using Azure Document Intelligence Studio
Lecture 68 Delete Your Azure Resources
Lecture 69 Section Overview
Section 9: Azure Machine Learning
Lecture 70 Section Overview
Lecture 71 What is Microsoft Azure Machine Learning?
Lecture 72 Provisioning the Azure ML Resource
Lecture 73 Sample Data
Lecture 74 Using Automated ML To Train a Model
Lecture 75 Deploy and Test the Model
Lecture 76 Test Endpoint in Console App
Lecture 77 Sample Test Data Model
Lecture 78 Section Review
Section 10: Creating GenAI Solutions using .NET and Azure OpenAI
Lecture 79 Section Overview
Lecture 80 Introducing Azure OpenAI
Lecture 81 Provisioning Azure OpenAI
Lecture 82 Exploring Azure AI Studio
Lecture 83 Different generative AI models
Lecture 84 Prompt Engineering Fundamentals
Lecture 85 Additional prompt engineering tips
Lecture 86 Create Chat Agent with Azure OpenAI model
Lecture 87 Understanding code generation from natural language
Lecture 88 Code generation with AI Studio
Lecture 89 Create a programming assistant
Lecture 90 Review the Dall-E Model
Lecture 91 Generating images with a DALL-E model
Lecture 92 Understanding Retrieval Augmented Generation (RAG)
Lecture 93 Retrieval Augmented Generation (RAG) with AI Studio
Lecture 94 Using Retrieval Augmented Generation (RAG) in an application
Lecture 95 Section Review
Section 11: Conclusion
Lecture 96 Delete Your Azure Resources
Lecture 97 Final Thoughts
Developers,Technical Leads,Business Managers
