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.
AI Engineer using Microsoft Azure
Nanodegree Program
Meet the growing demand for Azure AI engineers and learn to design, build, and implement machine learning models, using Microsoft Azure.
01Days06Hrs51Min25Sec
Estimated time
3 Months
At 5-10 hours/week
Enroll by
March 22, 2023
Get access to the classroom immediately upon enrollment
Prerequisites
Python, Microsoft Azure, JSON and REST programming semantics
In collaboration with
What you will learn
AI Engineer using Microsoft Azure
Estimated 3 months to completeYou’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.
Prerequisite knowledge
Python, Microsoft Azure, JSON and REST programming semantics.
Building Computer Vision Solutions with Azure
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.
Building NLP and Conversational AI Solutions with Azure
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.
Building Knowledge Mining Solutions With Azure Cognitive Search
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.
All our programs include
Technical mentor support
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.
Career services
You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
Flexible learning program
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.
Program offerings
Class content
- Real-world projects
- Project reviews
- Project feedback from experienced reviewers
Student services
- Technical mentor support
- Student community
Career services
- Github review
- LinkedIn profile optimization
Succeed with personalized services.
We provide services customized for your needs at every step of your learning journey to ensure your success.
- Experienced Project Reviewers
- Technical Mentor Support
Get timely feedback on your projects.
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
1,400+ project reviewers
2.7M projects reviewed
88/100 reviewer rating
1.1 hours avg project review turnaround time
Learn with the best.
Learn with the best.
Avkash Chauhan
Founder and Principal at UnBlocker.aiAvkash 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 Scarlata
Curriculum Manager at UdacityValerie 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 Swaffer
Solutions ArchitectMatt 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.
AI Engineer using Microsoft Azure
Get started today
Learn
How to design, build, and implement an end-to-end AI solution using Microsoft Azure.
Average Time
On average, successful students take 3 months to complete this program.
Benefits include
- Real-world projects from industry experts
- Technical mentor support
- Career services
Program details
Program overview: Why should I take this program?
Why should I enroll?
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.
What jobs will this program prepare me for?
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.
How do I know if this program is right for me?
The program is for individuals who are looking to advance their developer careers with the cutting-edge skills to build Azure AI solutions.
Enrollment and admission
Do I need to apply? What are the admission criteria?
No. This Nanodegree program accepts all applicants regardless of experience and specific background.
What are the prerequisites for enrollment?
Python programming skills:
- Understand the basics of object-oriented programming.
- Read basic Python syntax, including using white space in Python.
- Distinguish between object types like integers and strings in scripts.
- Use Python to build basic algorithms for simple programs and scripts that automate common tasks (i.e. renaming files).
- Write and run basic programming scripts in a terminal that include function definitions and loops.
Other required skills:
- Demonstrate knowledge of Microsoft Azure and the ability to navigate the Azure portal
- Familiarity with a variety of Azure data sources such as Azure Data Lake and Azure SQL
- Demonstrate knowledge of JSON and REST programming semantics and the ability to use APIs in application development.
If I do not meet the requirements to enroll, what should I do?
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.
Tuition and term of program
How is this Nanodegree program structured?
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.
How long is this Nanodegree program?
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.
Can I switch my start date? Can I get a refund?
Please see the Udacity Program FAQs for policies on enrollment in our programs.
Software and hardware: What do I need for this program?
What software and versions will I need in this program?
- Azure Portal (Browser based)
- VS Code
- Microsoft Bot Framework Emulator
- Node.js V16
- Python 3.6 and above
- Various Azure cognitive Services SDK (Python)