Ai-102 Microsoft Azure Ai Engineer Associate

Ai-102 Microsoft Azure Ai Engineer Associate
Published 9/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

What you’ll learn

Know how to implement solutions for the Microsoft Azure AI platform

Understand the main concepts of Azure AI Services, beyond the ones you normally use

Achieve the Azure AI Engineer Associate badge

Pass the Microsoft AI-102 Microsoft Azure AI Engineer test the first time

Requirements

Familiarity with cloud computing concepts, including networking, storage, and virtualization.

Hands-on experience with Azure services and a basic understanding of core Azure services, workloads, security, and governance.

Description

Overview

Section 1: Introduction to AI and AI on Azure

Lecture 1 Introduction

Lecture 4 Using Azure AI services for enterprise applications

Section 2: Develop computer vision solutions with Azure AI Vision

Lecture 5 Analyze and manipulate images

Lecture 6 Lab – Analyze images with Azure AI vision

Lecture 7 Lab – Read text In images

Lecture 8 Detecting faces with the Azure

Lecture 9 Custom vision models with Azure AI vision

Lecture 10 Lab – Classify images with a Azure AI vision custom model

Lecture 11 Analyzing videos

Section 3: Develop natural language processing solutions

Lecture 12 Analyzing text

Lecture 13 Lab – Analyze text with language service

Lecture 14 Translating text

Lecture 15 Build a question-answering solution

Lecture 16 Lab – Create a Question Answering Solution

Lecture 17 Build a conversational language understanding app

Lecture 18 Lab – Create a language understanding model with the Language service

Lecture 19 Custom classification and named entity extraction
Lecture 20 Speech recognition translation and synthesis

Lecture 21 Lab – Recognize and synthesize speech

Section 4: Develop generative AI solutions with Azure OpenAI service

Lecture 22 Develop generative AI solutions with Azure

Lecture 23 Develop apps with Azure OpenAI service

Lecture 24 Lab – Integrate Azure OpenAI into your app

Lecture 25 Apply prompt engineering with Azure OpenAI service

Lecture 26 Lab – Utilize prompt engineering in your app

Lecture 27 Use your own data with Azure OpenAI service

Lecture 28 Lab – Use your own data with Azure OpenAI

Section 5: Creating a knowledge mining solution

Lecture 29 Implementing an intelligent search solution

Lecture 30 Create a custom skill for Azure AI search

Lecture 31 Lab – Create a custom skill for Azure AI search

Lecture 32 Creating a knowledge store

Section 6: Develop solutions with Azure AI document intelligence

Lecture 33 Develop a document intelligence solution

Lecture 34 Types of custom models

Lecture 35 Lab – Extract data from forms

Professionals already working with Azure who need to update their skills with the latest Azure services and best practices.