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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.
04Days08Hrs48Min18Sec
Estimated time
3 Months
At 5-10 hours/week
Enroll by
December 7, 2022
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
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, 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
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