Expert Review: Developing AI Applications on Azure
By Prosun • December 21, 20254.9/5.0
Our Expert Verdict
Verdict: Developing AI Applications on Azure is unequivocally the leading program in its category for 2026. Our expert review team scored it a **4.9/5.0** for its comprehensive curriculum and direct career impact.
Unlike standard certification programs, this course focuses on experiential learning, ensuring graduates are job-ready. If you are serious about mastering LearnQuest, this is a definitive investment.
Enroll Now & Get Certified ↗What We Liked (Pros)
- Unmatched depth in LearnQuest methodology.
- Capstone project perfect for portfolio building.
- Taught by industry leaders from LearnQuest.
- Flexible learning schedule that fits professional life.
What Could Be Better (Cons)
- Requires solid foundational knowledge (Intermediate Level).
- Certification fee is higher than average.
Course Overview
This course, provided by LearnQuest, is characterized by its rigor and practical application focus. The curriculum covers essential concepts: introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning. Next, introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach. As you go through the course, we'll introduce you to Microsoft's pretrained and managed machine learning offered as REST API's in their suite of cognitive services. We'll implement solutions using the computer vision API and the facial recognition API, and we'll do sentiment analysis by calling the natural language service. Using the Azure Machine Learning Service you'll create and use an Azure Machine Learning Worksace.Then you'll train your own model, and you'll deploy and test your model in the cloud. Throughout the course you will perform handson exercises to practice your new AI skills. By the end of , you will be able to create, implement and deploy machine learning models.
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