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Developing AI Applications on Azure

Master Azure AI development. Learn to create, train and deploy machine learning models using Azure services.

Master Azure AI development. Learn to create, train and deploy machine learning models using Azure services.

This comprehensive course teaches AI and machine learning development on Microsoft Azure. Students learn fundamental AI concepts and practical implementation using Azure's ML services. The curriculum covers Python programming, Azure Cognitive Services APIs, Azure Machine Learning workspace setup, model training, and deployment. Through hands-on exercises, learners develop skills in creating, testing, and deploying AI solutions in the cloud using Microsoft's Team Data Science Process.

4.4

(973 ratings)

47,787 already enrolled

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Developing AI Applications on Azure

This course includes

16 Hours

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

2,436

What you'll learn

  • Define and implement AI and machine learning concepts

  • Work with Azure ML services and cognitive APIs

  • Create and manage Azure ML workspaces

  • Train and deploy machine learning models in the cloud

  • Implement Microsoft Team Data Science Process

  • Develop end-to-end AI solutions using Azure services

Skills you'll gain

Azure ML
Python
machine learning
AI development
cognitive services
model training
cloud deployment
data science

This course includes:

199 Minutes PreRecorded video

19 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 5 modules in this course

This advanced course provides comprehensive training in developing AI applications using Microsoft Azure. The curriculum is structured around five key modules covering AI fundamentals, standardized processes, Azure Cognitive APIs, and machine learning services. Students learn to implement machine learning models using Python and Azure's ML services, work with pre-trained cognitive services, and deploy AI solutions in the cloud. The course emphasizes practical implementation through hands-on exercises and real-world scenarios.

Introduction to Artificial Intelligence

Module 1 · 4 Hours to complete

Standardized AI Processes and Azure Resources

Module 2 · 2 Hours to complete

Azure Cognitive APIs

Module 3 · 2 Hours to complete

Azure Machine Learning Service: Model Training

Module 4 · 3 Hours to complete

Azure Machine Learning Service: Model Management and Deployment

Module 5 · 3 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Ronald J. Daskevich, DCS
Ronald J. Daskevich, DCS

4.2 rating

176 Reviews

47,946 Students

1 Course

Lead Instructor

Ronald spent 20 years in the Air Force as a communications/computer officer, where he gained wide breadth and depth of experience working with data systems and architecture.

Developing AI Applications on Azure

This course includes

16 Hours

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

2,436

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.4 course rating

973 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.