This course 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.
提供:


Developing AI Applications on Azure
LearnQuestこのコースについて
General knowledge of Azure
学習内容
Define Artificial Intelligence and Machine Language
Describe AI tools and roles, and the Microsoft Team Data Science Process
Work with Azure APIs, including those for vision, language, and search
Create, train, test and deploy your AI model in the cloud
習得するスキル
- Python Programming
- Azure AI models
- Microsoft Team Data Sciences Process
- Azure Machine Learning Service
- Azure Machine Learning Workspace
General knowledge of Azure
提供:

LearnQuest
LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.
シラバス - 本コースの学習内容
Introduction to Artificial Intelligence
This module introduces Artificial Intelligence and Machine learning. Next, we talk about machine learning types and tasks. This leads into a discussion of machine learning algorithms. Finally we explore python as a popular language for machine learning solutions and share some scientific ecosystem packages which will help you implement machine learning. By the end of this unit you will be able to implement machine learning models in at least one of the available python machine learning libraries.
Standardized AI Processes and Azure Resources
This module introduces machine learning tools available in Microsoft Azure. It then looks at standardized approaches developed to help data analytics projects to be successful. Finally, it gives you specific guidance on Microsoft's Team Data Science Approach to include roles and tasks involved with the process. The exercise at the end of this unit points you to Microsoft's documentation to implement this process in their DevOps solution if you don't have your own.
Azure Cognitive APIs
This module introduces you to Microsoft's pretrained and managed machine learning offered as REST API's in their suite of cognitive services. We specifically implement solutions using the computer vision api, the facial recognition api, and do sentiment analysis by calling the natural language service.
Azure Machine Learning Service: Model Training
This module introduces you to the capabilities of the Azure Machine Learning Service. We explore how to create and then reference an ML workspace. We then talk about how to train a machine learning model using the Azure ML service. We talk about the purpose and role of experiments, runs, and models. Finally, we talk about
レビュー
- 5 stars65.27%
- 4 stars21.06%
- 3 stars8.34%
- 2 stars2.18%
- 1 star3.12%
DEVELOPING AI APPLICATIONS ON AZURE からの人気レビュー
The teacher is extremely competent and clear in explaining even to those, like me, who are not expert on the topic; the course is well structured and provides rich and interesting contents
An outstanding opportunity for a leaner who wants a detailed information regarding azure and the AI's connection with it.
Adding some graded programming assignments would push engagement of the material better, in my opinion.
It was a very good learning course. For a AI Azure beginner, it was very good. The instructors were superb !!!
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