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.
ofrecido por


Developing AI Applications on Azure
LearnQuestAcerca de este Curso
General knowledge of Azure
Qué aprenderás
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
Habilidades que obtendrás
- Python Programming
- Azure AI models
- Microsoft Team Data Sciences Process
- Azure Machine Learning Service
- Azure Machine Learning Workspace
General knowledge of Azure
ofrecido por

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.
Programa - Qué aprenderás en este curso
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
Reseñas
- 5 stars65,27 %
- 4 stars21,06 %
- 3 stars8,34 %
- 2 stars2,18 %
- 1 star3,12 %
Principales reseñas sobre DEVELOPING AI APPLICATIONS ON AZURE
I got to understand more about the Azure interface in collaboration with all that has to do with Machine Learning as well.
The best course to learn all the basics of ML and AI...This course very useful in understanding different algorithms and implementations of AI in Microsoft Azure.
V e\n\nr\n\ny\n\ni\n\nn\n\nf\n\no\n\nr\n\nm\n\na\n\nt\n\na\n\nt\n\ni\n\nv\n\ne and interesting course.
It was a very good learning course. For a AI Azure beginner, it was very good. The instructors were superb !!!
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si compro el Certificado?
¿Hay ayuda económica disponible?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.