Real-world projects from industry experts
With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
Meet the growing demand for Azure AI engineers and learn to design, build, and implement machine learning models, using Microsoft Azure.
At 5-10 hours/week
Get access to the classroom immediately upon enrollment
You’ll master the skills necessary to implement machine learning models, design and build an end-to-end AI solution with Azure Cognitive Services, and deploy, monitor, and manage continuous improvement of an Azure AI solution. By the end of the program, you’ll be an ideal candidate for Microsoft certification A1-102.
Python, Microsoft Azure, JSON and REST programming semantics.
Students will begin by learning what computer vision is and about real-life business use cases. They will create solutions using different types of vision-based Azure Cognitive Services, including Azure Form Recognizer, Azure Face and Video Analyzer, and Azure Computer Vision and Custom Vision. Finally, they will learn and apply the deployment and monitoring tools to ensure that the solution is complete and runs smoothly.
Students will learn how to build conversational AI and NLP solutions on Azure. They’ll explore use cases including chatbots and assistant solutions, then create solution diagrams, model dialogs, and learn about responsible AI principles and practice creating requirements. They’ll also create and configure bot applications and implement Azure Text and Speech Cognitive Services in applications.
Students will learn how to add data sources to Azure Cognitive Search, enrich the data with AI, properly index the enriched data, and expose the index to client applications for search scenarios. They will begin by learning how to design an Azure Cognitive Search solution and finish the course by building out an AI enriched data mining application from end-to-end.
With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.
You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
We provide services customized for your needs at every step of your learning journey to ensure your success.
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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.
Valerie is a curriculum manager at Udacity who has developed and taught a broad range of computing curriculum for several colleges and universities. She was a professor and software engineer for over 10 years specializing in web, mobile, voice assistant, and social full-stack application development.
Matt is a software and solutions architect focusing on data science and analytics for managed business solutions. In addition, Matt is an adjunct lecturer, teaching courses in the computer information systems department at the University of Northern Colorado where he received his PhD in Educational Psychology.
How to design, build, and implement an end-to-end AI solution using Microsoft Azure.
On average, successful students take 3 months to complete this program.
This program is designed to help you take advantage of the growing need for skilled AI engineers. Prepare to meet the demand for qualified professionals that can deliver modern Azure AI solutions.
The need for skilled Microsoft Azure engineers is greater than ever. The skills you will gain from this Nanodegree program will qualify you for jobs in several industries, as countless companies are trying to keep up with digital transformation.
The program is for individuals who are looking to advance their developer careers with the cutting-edge skills to build Azure AI solutions.
No. This Nanodegree program accepts all applicants regardless of experience and specific background.
Python programming skills:
Other required skills:
Students who do not feel comfortable in the above may consider taking Udacity’s Intro to ML course and AI Fundamentals free course to obtain prerequisite skills.
The AI Engineer using Microsoft Azure Nanodegree program is comprised of content and curriculum to support 3 projects. We estimate that students can complete the program in 3 months working 5-10 hours per week.
Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
Access to this Nanodegree program runs for the length of time specified above. If you do not graduate within that time period, you will continue learning with month-to-month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.
Please see the Udacity Program FAQs for policies on enrollment in our programs.