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In this chapter you will get a short overview about what AI is exactly, and what we can do with it.
Your intelligent app needs to understand its environment and make decisions. For that you can use pre-trained Azure AI Services that detect sentiment, recognize speakers, understand pictures, etc. Azure AI Studio is a web portal that brings together these services into a single, unified development environment. Azure AI services provides a comprehensive suite of out-of-the-box and customizable AI tools, APIs, and models that help modernize your business processes faster.
Your application would be useless if they didn't understand their users. Azure AI Language allows us to create models to interpret what the user wants, as well as extract key information from natural language.
Azure's Azure AI Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in.
AI Document Intelligence is an AI service that applies advanced machine learning to extract text, key-value pairs, tables, and structures from documents automatically and accurately. Turn documents into usable data and shift your focus to acting on information rather than compiling it.
This module introduces Azure OpenAI and ChatGPT Large Language Models (LLMs). Learn about the available LLM models, how to configure and use them in the Azure Portal. Additionally you will learn about the Transformer architecture, the succesful neural network architecture behind LLMs ChatGPT-like GPT-4.
In this module, we'll delve into the APIs provided by ChatGPT and Azure OpenAI. You'll discover how to seamlessly integrate them into your applications. The latest GPT models introduce Function Calling, a new capability to connect large language models to external tools, services or code. This enables the creation of your own smart, AI powered Copilots.
Azure AI Search facilitates the adoption of the Retrieval Augmented Generation (RAG) design pattern. This methodology involves retrieving pertinent information from a data source and leveraging it to enhance the output of generative AI models.This symbiosis between retrieval and generation sets a new standard for AI-driven search solutions.
The Semantic Kernel is an open-source SDK backed by Microsoft that seamlessly integrates Large Language Models such as OpenAI and Azure OpenAI with programming languages like C#. It allows users to use natural language input within Large Language Models to seamlessly invoke and interact with your custom code.
The Azure AI Services bring AI at the fingertips of any software developer without having to be a data scientist. Add the 'wow'-factor to your application and gain insights into the workings of AI.
In this course you are taken through all relevant topics to integrate the Azure AI services in your software development projects. The focus of this course is on the pre-built AI services in Microsoft Azure.
This course targets professional developers that want to get started with the Microsoft AI platform. Participants of this course need to have a decent understanding of .NET and preferably some experience with Microsoft Azure. This is not a course for data scientists who want to build their own AI models or understand how existing AI models work.