Azure AI Engineer: AI 900 → AI 102

AI-900: Microsoft Azure AI Fundamentals

Module 1: Introduction to AI

Artificial Intelligence in Azure

• What is Artificial Intelligence?
• Common Artificial Intelligence Workloads
• Artificial Intelligence in Microsoft Azure

Responsible AI

• Challenges and Risks with AI
• Principles of Responsible AI

Module 2: Machine Learning

Introduction to machine learning

• What is machine learning?
• Regression
• Classification
• Clustering

Azure Machine Learning

• What is Azure Machine Learning?
• Automated Machine Learning
• Azure Machine Learning designer

Module 3: Computer Vision

Computer Vision Concepts

• What is Computer Vision?
• Applications of Computer Vision

Computer Vision in Azure

• Cognitive Services
• Image Analysis with the Computer Vision Service
• Training Models with the Custom Vision Service
• Analyzing Faces with the Face Service
• Reading Text with the Computer Vision Service
• Analyzing Forms with the Form Recognizer Service

Module 4: Natural Language Processing

Introduction to Natural Language Processing

• What is Natural Language Processing?
• Natural Language Processing in Azure

Using Natural Language Processing Services

• Text Analytics
• Speech Recognition and Synthesis
• Translation
• Language Understanding

Module 5: Conversational AI

Conversational AI Concepts

• What is Conversational AI?
• Responsible AI Guidelines for Bots

Conversational AI in Azure

• QnA Maker Service
• Azure Bot Service

AI-102: Designing and Implementing a Microsoft Azure AI Solution 

Module 1: Introduction to AI on Azure

Introduction to AI

• What is Artificial Intelligence?
• Data Science, Machine Learning, and AI
• AI for Software Engineers
• Considerations for Responsible AI

AI on Azure

• Azure Machine Learning
• Azure Cognitive Services
• Azure Bot Service
• Azure Cognitive Search

Module 2: Developing AI Apps with Cognitive Services

Getting Started with Cognitive Services

• Provisioning Cognitive Services Resources
• Endpoints, Keys, and Locations
• Cognitive Services REST APIs
• Cognitive Services SDKs

Using Cognitive Services for Enterprise Applications

• Considerations for Cognitive Services Security
• Monitoring Cognitive Services Activity
• Cognitive Services and Containers

Module 3: Getting Started with Natural Language Processing

Analyzing Text

• The Text Analytics Service
• Language Detection
• Key Phrase Extraction
• Sentiment Analysis
• Named Entity Recognition

Translating Text

• The Translator Service
• Detection, Translation, and Transliteration
• Translation Options
• Custom Translation

Module 4: Building Speech-Enabled Applications

Speech Recognition and Synthesis

• The Speech Service
• Speech-to-Text
• Text-to-Speech
• Audio Format and Voices
• Speech Synthesis Markup Language (SSML)

Speech Translation

• Translating Speech to Text
• Synthesizing Translations as Speech

Module 5: Creating Language Understanding Solutions

Creating a Language Understanding App

• Introduction to Language Understanding
• Language Understanding Resources in Azure
• Intents and Utterances
• Entities
• Patterns and Pattern.any() Entities
• Prebuilt Models
• Training, Testing, Publishing, and Reviewing

Publishing and Using a Language Understanding App

• Publishing Configuration Options
• Processing Predictions
• Using a Container
• Using Multiple Language Models

Using Language Understanding with Speech

• Speech and Language Understanding Integration
• Intent Recognition with the Speech SDK

Module 6: Building a QnA Solution

Creating a QnA Knowledge Base

• Introduction to QnA Maker
• QnA Maker vs Language Understanding
• Creating a Knowledge Base
• Multi-Turn Conversation

Publishing and Using a QnA Knowledge Base

• Testing and Publishing a Knowledge Base
• Client Interfaces
• Active Learning
• Creating a QnA Bot

Module 7: Conversational AI and the Azure Bot Service

Bot Basics

• Conversational AI and Bots
• Azure Bot Service and the Microsoft Bot Framework SDK
• Developing a Bot with the Bot Framework SDK
• Activity Handlers
• Dialogs
• Deploying a Bot to the Azure Bot Service

Implementing a Bot

• Bot Design Principles
• Designing Conversation Flow
• Designing for Interruptions
• Designing the User Experience
• Bot Framework Composer

Module 8: Getting Started with Computer Vision

Analyzing Images

• The Computer Vision Service
• Image Analysis
• Smart-Cropped Thumbnails

Analyzing Videos

• Video Analyzer for Media
• Custom Insights
• Video Analyzer Widgets and API

Module 9: Developing Custom Vision Solutions

Image Classification

• The Custom Vision Service
• What is Image Classification?
• Training an Image Classifier

Object Detection

• What is Object Detection?
• Training an Object Detector
• Labeling Images

Module 10: Detecting, Analyzing, and Recognizing Faces

Detecting Faces with the Computer Vision Service

• Options for Face Detection, Analysis, and Recognition
• Considerations for Face Detection and Facial Recognition
• Face Detection with the Computer Vision Service

Using the Face Service

• The Face Service
• Detected Face Identification
• Persisted Face Recognition

Module 11: Reading Text in Images and Documents

Reading text with the Computer Vision Service

• Computer Vision Options for Reading Text
• Using the OCR API
• Using the Read API

Extracting Information from Forms with the Form Recognizer service

• The Form Recognizer Service
• Prebuilt Models
• Training Custom Models without Labels (Unsupervised)
• Training Custom Models with Labels (Supervised)
• Using a Custom Model

Module 12: Creating a Knowledge Mining Solution

Implementing an Intelligent Search Solution

• Azure Cognitive Search
• Core Components of a Cognitive Search Solution
• How an Enrichment Pipeline Works

Developing Custom Skills for an Enrichment Pipeline

• Introduction to Custom Skills
• Custom Skill Interfaces
• Adding a Custom Skill to a Skillset

Creating a Knowledge Store

• What is a Knowledge Store?
• Using the Shaper Skill for Projections
• Implementing a Knowledge Store