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AI for .NET Developers

5h 12m

Getting Started

Progress0%

0 / 56 lessons5h 11m left

Course overview(0/3)

WelcomeFree Preview1m 6s What will you learn in this course?Free Preview1m 29s Who is the course for and prerequisitesFree Preview54s

An introduction to AI(0/3)

A brief history of AI and .NET4m 54s Deterministic vs. non-deterministic programming9m 15s A developer's guide to AI, ML, and Deep Learning8m 7s

Understanding the AI landscape(0/5)

Exploring LLM and GenAI Concepts2m 2s Providers and Hosting Options3m 27s An overview of Azure AI Foundry4m 26s Deploying your first Large Language Model3m 49s An introduction to Chat Playground5m 4s

Prompt engineering basic concepts(0/9)

Exercies introduction3m 42s Summarization prompts2m 45s Categorization prompts4m 14s Sentiment analysis prompts6m 47s Language translation prompts7m 55s Creating structured output from unstructured data7m 59s Using LLMs to generate and refine summarization prompts7m 4s Using LLMs to generate and refine categorization prompts8m 1s Using LLMs to troubleshoot prompt responses6m 52s

AI libraries for .NET overview(0/2)

Understanding the three pillars of AI in .NET3m 54s When to use what library and why6m 48s

Understanding LLM Tokens with ML.NET(0/4)

Introduction to building a Tokenizer3m 48s Token Visualizer project dependencies4m 1s Connecting the visualizer component4m 4s Performing tokenization and reviewing the output8m 21s

Microsoft.Extensions.AI basic concepts and patterns(0/9)

Microsoft.Extensions.AI Exercise Introduction1m 35s Configuring and establishing application settings with user secrets10m 41s Creating a chat application background service5m 22s Configuring DI with AI Dependencies and IChatClient6m 36s Chat completions using ChatMessage and ChatRepsonse6m 43s Creating a chat loop6m 28s Adding a basic conversational memory5m 9s Creating a Web Agent by Extending the ChatApp10m 39s Reading Web Resources for Context Augmented Generation7m 36s

Working with text, streaming and image content types(0/7)

Blazor Project Intro2m 16s IChatClient Dependencies and Configuration8m 19s Chat UI setup7m 33s AIContent and content types3m 2s Using image content with multimodal model input10m 29s How to enable logging on IChatClient5m 23s How to use GetStreamingResponseAsync to stream text from IChatClient8m 12s

A basic "agent" using GetResponseAsync<T>(0/2)

Basic Agent Intro3m 18s Structured Output with GetResponseAsync<T>11m 58s

An intro to Retrieval Augmented Generation (RAG) with Agent Framework(0/10)

Agent Framework Introduction3m 51s Agent Setup and Project Configuration6m 56s Creating OpenAI Clients3m 58s Creating an OpenAI Vector Store6m 37s Creating an Agent with Agent Framework5m 17s Agent Conversation UI5m 43s Azure OpenAI Files and Vector Store2m 13s Running an Agent8m 49s Citations and Annotations9m 32s Agent Framework Threads5m 10s

Course conclusion(0/2)

Conclusion54s Rate this course

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An intro to Retrieval Augmented Generation (RAG) with Agent Framework

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