Lesson 1
An Introduction to Your AI Engineer using Microsoft Azure Nanodegree Program
Welcome! We're so glad you're here. Join us in learning a bit more about what to expect and ways to succeed.
Nanodegree Program
The AI Engineer using Microsoft Azure Nanodegree program will equip you with the skills required to become an Azure AI engineer or an AI engineer with expertise in Azure AI and machine learning services. This program will teach you how to implement machine learning models, design and build an end-to-end AI solution with Azure Cognitive Services, and how to deploy, monitor, and manage continuous improvement of an Azure AI solution.
The AI Engineer using Microsoft Azure Nanodegree program will equip you with the skills required to become an Azure AI engineer or an AI engineer with expertise in Azure AI and machine learning services. This program will teach you how to implement machine learning models, design and build an end-to-end AI solution with Azure Cognitive Services, and how to deploy, monitor, and manage continuous improvement of an Azure AI solution.
Built in collaboration with
Microsoft
Advanced
2 months
Real-world Projects
Completion Certificate
Last Updated September 30, 2024
Skills you'll learn:
Prerequisites:
Course 1 • 45 minutes
Welcome to the AI Engineer using Microsoft Azure Nanodegree Program, let's get started!
Lesson 1
Welcome! We're so glad you're here. Join us in learning a bit more about what to expect and ways to succeed.
Lesson 2
You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
Course 2 • 1 month
This course is designed for anyone who would like to use computer vision technology in their application to solve a business problem. You will begin by learning what computer vision is and its business use cases through real-life business use cases. You will then learn to create solutions using different types of vision-based Azure Cognitive Services, including Azure Form Recognizer for text extraction, Azure Face and Video Analyzer for facial detection and recognition, and Azure Computer Vision and Custom Vision for image classification and object detection. Finally, you will learn and apply the deployment and monitoring tools to ensure that your solution is complete and runs smoothly.
Lesson 1
In this lesson, you will learn why computer vision is important, among other foundational topics. You will get an overview of what we will cover in this course.
Lesson 2
In this lesson, you will learn about the business and technical considerations of computer vision applications and solutions. This lesson provides the fundamentals for you to get started.
Lesson 3
In this lesson, you will apply computer vision technology to extract text from various kinds of digital images & documents using specialized Azure Cognitive Services.
Lesson 4
The best business use cases of AI are in image classification and object detection solutions, and this lesson gives you a head start on how to implement these with the Azure Custom Vision service.
Lesson 5
Lesson 6
This lesson provides the operational knowledge on how to deploy and manage your computer vision solutions at Azure to make sure they are running smoothly to produce results.
Lesson 7 • Project
In this project, you will build an automated passenger boarding kiosk. Your objective will be to perform various validation processes and confirm if a given passenger can board the plane or not.
Lesson 8
In this lesson, you will learn how to apply face detection and facial recognition using various Azure Face APIs. You can easily get started with little to no deep learning knowledge.
Course 3 • 3 weeks
In this course, you'll design and build bot solutions on the Azure platform using the Microsoft Bot Framework, language understanding models with the LUIS service, knowledge bases with the Azure QnA service, and integrate Azure Cognitive Text Analytics and speech services.
Lesson 1
Welcome to Building NLP and Conversational AI Solutions with Azure. In this lesson you'll learn more about the course, prerequisites, tools, and environment.
Lesson 2
In this lesson, you'll learn how to create requirements for NLP and conversational AI solutions and responsible AI principles involved in building these solutions
Lesson 3
In this lesson, you'll learn about the Microsoft Bot Framework and create bot applications
Lesson 4
In this lesson, you'll learn about two Azure NLP Cognitive Services, QnA Maker and LUIS, and integrate them into bot applications to recognize user intent.
Lesson 5
This lesson is about Azure Cognitive Text Analytics and Speech Services. You'll learn how to analyze incoming text in a bot application and speech-enable a bot application with bot channels
Lesson 6 • Project
Create a static web app for a dentist’s office with a web app bot service that answers customers’ questions and can schedule appointments.
Course 4 • 3 weeks
In this course, you'll learn how to build end-to-end solutions with Azure Cognitive Search. You'll learn how to import data into Cognitive Search, enrich data using built-in and custom skills, and consume data from Cognitive Search in your applications.
Lesson 1
Welcome to the course! In this lesson, we'll cover the course prerequisites and environment, and introduce Azure Cognitive Search solutions.
Lesson 2
In this lesson, you'll learn about defining requirements and designing Cognitive Search solutions
Lesson 3
In this lesson, you'll import data into Azure Cognitive Search and learn how to configure Indexes, Indexers, and Enrichments.
Lesson 4
In this lesson, you'll learn about enriching data and creating skills and skillsets in Azure Cognitive Search
Lesson 5
In this lesson, you'll learn how to consume Azure Cognitive Search in external applications and monitor the performance of solutions
Lesson 6 • Project
Put all the skills you've learned into practice to build an Azure Cognitive Search solution. In this project, you'll build an AI-enriched corporate training catalog using multiple data sources.
General Manager, MBS
Matt has been working in software development and data science for over 20 years. Matt's career is centered on the intersection of technology, data, and human psychology. He is passionate about using data science to have a meaningful impact on our people and our planet.
Senior Technical Content Developer at Udacity
Valerie is a Sr. Technical Content Developer at Udacity who has developed and taught a broad range of computing curricula for multiple colleges and universities. She is a former professor and software engineer for over 10 years specializing in web, mobile, voice assistant, and full-stack application development.
Founder and Principal at UnBlocker.ai
Avkash Chauhan has over 20 years of software development experience including the last 10 years building AI and ML platforms and solutions for enterprise customers. His previous work experience includes Microsoft, H2O.ai, Macnica, RoamBee and his own startups Big Data Perspective and UnBlocker.ai.
Average Rating: 4.1 Stars
1 Reviews
Sam C.
April 28, 2022
I have really enjoyed the program so far. I have touched across several Azure Cognitive services in just the first project! I will be interested to see how this course gets updated as Azure updates quite regularly. All and all, a very enjoyable and rewarding experience.
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Our Azure AI Engineer Nanodegree program, developed in collaboration with Microsoft, is an advanced journey into the heart of artificial intelligence training. Designed for learners with no prior experience, this program dives deep into Azure cognitive services, including Azure Cognitive Search and Microsoft Bot Framework, to mold you into a proficient Azure AI engineer. You'll tackle real-world projects, gaining hands-on expertise in building AI solutions using Azure's cutting-edge technology. By joining this program, you're not just learning – you're transforming your career. Our team of industry veterans, like Matt Swaffer and Avkash Chauhan, will guide you through a curriculum rich in practical application. With Udacity, you gain more than knowledge, you learn the skills to make a real impact in the tech world.