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T HE S CHOOL OF A R T IFICI A L IN T ELLIGENCEAI Engineer usingMicrosoft AzureNANODEGREE SYLLABUS

OverviewI N CO L L A B O R AT I O N W I T HThe AI Engineer using Microsoft Azure Nanodegreeprogram will equip students with the skills requiredto become an Azure AI engineer or an AI engineerwith expertise in Azure AI and machine learningservices. This program will teach students how toimplement machine learning models, design andbuild an end-to-end AI solution with Azure CognitiveServices, and how to deploy, monitor, and managecontinuous improvement of an Azure AI solution.Students seeking certification who successfullycomplete this program are ideal candidates forMicrosoft certification A1-102.Educational ObjectivesBy the end of this program a student will be able to: Design and build an end-to-end AI solution withAzure Cognitive Services/Azure Cognitive APIs. Design a security strategy that aligns withorganizational policies and complianceframeworks. Deploy, monitor, and manage continuousimprovement of an Azure AI solutionProgram InformationTIME3 monthsStudy 5-10 hours/weekLEVELAdvancedSOFTWARE/HARDWARE AND VERSION REQUIREMENTSAzure Portal (Browser based)VS CodeMicrosoft Bot Framework EmulatorNode.js V16Python 3.6 and aboveVarious Azure cognitive Services SDK (Python)PREREQUISITESPython programming skills: Understand the basics of object-orientedprogramming. Read basic Python syntax, including using whitespace in Python. Distinguish between object types like integers andstrings in scripts. Use Python to build basic algorithms for simpleprograms and scripts that automate common tasks(i.e. renaming files). Write and run basic programming scripts in aterminal that includes function definitionsand loops.Other required skills: Demonstrate knowledge of Microsoft Azure and theability to navigate the Azure portal. Familiarity with a variety of Azure data sources suchas Azure Data Lake and Azure SQL. Demonstrate knowledge of JSON and RESTprogramming semantics and the ability to use APIsin application development.LEARN MORE ABOUT THIS NANODEGREEContact us at enterpriseNDs@udacity.com.*The length of this program is an estimation of total hoursthe average student may take to complete all requiredcoursework, including lecture and project time. If youspend about 5-10 hours per week working through theprogram, you should finish within the time provided.Actual hours may vary.2AI ENGINEER USING MICROSOF T A ZURE

Our classroom experienceREAL-WORLD PROJECTSLearners build new skills through industry-relevantprojects and receive personalized feedback from ournetwork of 900 project reviewers. Our simple userinterface makes it easy to submit projects as often asneeded and receive unlimited feedback.KNOWLEDGEAnswers to most questions can be found withKnowledge, our proprietary wiki. Learners can searchquestions asked by others and discover in real-timehow to solve challenges.WORKSPACESLearners can check the output and quality of theircode by testing it on interactive workspaces that areintegrated into the classroom.QUIZZESUnderstanding concepts learned during lessons ismade simple with auto-graded quizzes. Learners caneasily go back and brush up on concepts at anytimeduring the course.CUSTOM STUDY PLANSCreate a custom study plan to suit your personalneeds and use this plan to keep track of your progresstoward your goal.PROGRESS TRACKERPersonalized milestone reminders help learners stayon track and focused as they work to complete theirNanodegree program.Learn More at WWW.UDACITY.COM/ENTERPRISEAI ENGINEER USING MICROSOF T A ZURE

Learn with the bestAvkash ChauhanValerie ScarlataF O U N D E R A N D P R I N C I PA L AT U N B LO C K E R . A IC U R R I C U LU M M A N A G E R , U DA C I T YAvkash Chauhan has over 20 yearsof software development experienceincluding the last 10 years building AIand ML platforms and solutions forenterprise customers. His previous workexperience includes Microsoft, H2O.ai,Macnica, RoamBee and his own startupsBig Data Perspective and UnBlocker.ai.Valerie is a curriculum manager at Udacitywho has developed and taught a broadrange of computing curriculum for severalcolleges and universities. She was aprofessor and software engineer for over10 years specializing in web, mobile, voiceassistant, and social full-stack applicationdevelopment.Matt SwafferS O LU T I O N S A R C H I T E C TMatt Swaffer is a software and solutionsarchitect focusing on data science andanalytics for Managed Business Solutions.In addition, Matt is an adjunct lecturer,teaching courses in the ComputerInformation Systems department at theUniversity of Northern Colorado where hereceived his PhD in Educational Psychology.4AI ENGINEER USING MICROSOF T A ZURE

Nanodegree Program OverviewCourse 1: Building Computer Vision Solutions with AzureThis course is designed for anyone who would like to use computer vision technology in their applicationto solve a business problem. You will begin by learning what computer vision is and ç through real-lifebusiness use cases. You will then learn to create solutions using different types of vision-based AzureCognitive Services, including Azure Form Recognizer for text extraction, Azure Face and Video Analyzer forfacial detection and recognition, and Azure Computer Vision and Custom Vision for image classification andobject detection. Finally, you will learn and apply the deployment and monitoring tools to ensure that yoursolution is complete and runs smoothly.ProjectAutomated Passenger BoardingKioskIn this project, you will build an automated passenger boarding kiosk. The kiosk will collect passengerand flight information through the passenger’s face image, digital ID, boarding pass, etc. Your objectivewill be to perform various validation processes and confirm if a given passenger can board the plane ornot. You will use various Azure Cognitive Services and supporting services for this project, including AzureComputer Vision, Face, Form Recognizer, Video Analyzer, Azure Blob storage. The run-time environmentwill be Python while you interact with these Azure services.5AI ENGINEER USING MICROSOF T A ZURE

Nanodegree Program OverviewLESSON TITLELEARNING OUTCOMES Identify business and technical considerations for creating computervision applicationsDESIGNCOMPUTER VISIONAPPLICATIONS Identify data considerations and sources for Azure computer visionsolutions Identify various Azure computer vision services for a given businessscenario Identify various programming models to use with Azure CognitiveServices Apply the prebuilt layout recognizer and create a custom layoutEXTRACTING TEXTFROM DIGITALCONTENTrecognizer model to extract the layout of a digital document Apply the prebuilt Azure Form Recognizer service to read the textfrom images and documents Create a custom form recognizer model to collect text data from adigital documentFACIAL DETECTIONAND RECOGNITIONIMAGECLASSIFICATION Understand the terms involved in face detection and recognitionIdentify face(s) in an image or a collection of imagesCreate a custom face recognition model to identify a person’s faceProcess faces in a video using Azure Video Analyzer service Apply image classification and object detection concepts Learn binary and multi-class classification and multi-label imageclassification Create a custom image classification model to classify your ownimagesOBJECT DETECTION &SPATIAL ANALYSIS Learn object detection concepts Create a custom object detection model to identify a specific object Understand the basics of spatial analysisLearn More at WWW.UDACITY.COM/ENTERPRISEAI ENGINEER USING MICROSOF T A ZURE

Nanodegree Program OverviewLESSON TITLELEARNING OUTCOMES Understand and apply computer vision solution deployment,SOLUTIONSDEPLOYMENT &MONITORINGaccessibility, and security Understand and apply application monitoring with extended loggingand enhanced diagnostics Export and delete data and models with cost managementLearn More at WWW.UDACITY.COM/ENTERPRISEAI ENGINEER USING MICROSOF T A ZURE

Nanodegree Program OverviewCOURSE 2: Building NLP and Conversational AISolutions with AzureIn this course you’ll learn how to build conversational AI and NLP solutions on Azure. You’ll begin byexploring use cases for NLP and conversational AI, including chatbots and assistant solutions. Then you’llcreate solution diagrams, model dialogs, and learn about responsible AI principles and practice creatingrequirements for conversational applications. You’ll create and configure bot applications on the Azureplatform using the Microsoft Bot Framework and integrate Azure QnA Knowledge Bases and LUIS Models.In the last part of the course you’ll implement Azure Text and Speech Cognitive Services in applications.ProjectDental Office Virtual AssistantStudents will create a customer support chatbot for a dentist website. They will create a bot on the Azureplatform and a Node.js bot application, create, train, and publish a LUIS Model and QnA Knowledge Base.The bot will use the Azure QnA Knowledge Base and LUIS to answer patient questions and help themschedule appointments. They will deploy the bot application and resources to Azure and implement theassistant on a website.8AI ENGINEER USING MICROSOF T A ZURE

Nanodegree Program OverviewLESSON TITLEDESIGNINGNLP ANDCONVERSATIONALAI SOLUTIONSLEARNING OUTCOMES Create requirements for NLP and conversational AI solutionsincluding creating user stories and dialog modeling Create architecture diagrams based on the components of AzureNLP and Cognitive services Implement responsible AI use of Azure Text Analytics, QnA Maker,and Speech Services Create and configure Bot resources for chatbot and assistantapplications on Azure Create Node.js Bot applications using the Microsoft Bot FrameworkBUILDING BOTSWITH THE BOTFRAMEWORKSDK and templates Identify the components of a Bot Framework application includingcontext, dialog, and adapters Test Microsoft Bot Framework applications using the Bot FrameworkEmulator Configure and deploy bot applications on Azure using Githubcontinuous integration and deployment Use Azure Language Understanding Service (LUIS) to identify intentsand entities in the context of conversational AI solutions Define and train language understanding models with Azure LUISNLP COGNITIVESERVICESservice Use Azure QnA to identify intent in the context of conversational AIsolutions Create QnA Knowledge Bases Implement Language Understanding Services (LUIS) and QnAKnowledge Bases in conversational AI applications Identify and extract entities and key phrases from text using Azuretext analyticsTEXT ANALYTICSAND SPEECHSERVICES Extract phrases and run sentiments analysis on text using Azure textanalytics Speech enable a Bot application with Azure Cognitive SpeechServices and Bot ChannelsLearn More at WWW.UDACITY.COM/ENTERPRISEAI ENGINEER USING MICROSOF T A ZURE