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We're here to help you find it40530: Microsoft Cloud Workshop: Cognitive Services and Deep Learning Course Overview
The 40530: Microsoft Cloud Workshop: Cognitive Services and Deep Learning course is designed to provide learners with an in-depth understanding of integrating Microsoft Cognitive Services with Azure Machine Learning to create intelligent solutions. Learners explore a real-world customer case study, design a proof of concept, and present their solution in Module 1. This hands-on experience helps participants grasp the practical application of these technologies.
In Module 2, participants dive into the technical aspects: setting up Azure Machine Learning accounts, creating and deploying an unsupervised model, applying TensorFlow, and rounding out their knowledge by completing the solution. This workshop is instrumental for those looking to enhance their skills in AI, machine learning, and cognitive computing, and provides a solid foundation for implementing deep learning solutions in the cloud.
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♱ Excluding VAT/GST
Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
To successfully undertake the 40530: Microsoft Cloud Workshop: Cognitive Services and Deep Learning course, the following minimum prerequisites are recommended:
These prerequisites are meant to ensure that participants can make the most of the course content and engage with the hands-on lab activities effectively. However, individuals with a strong desire to learn and a commitment to developing their skills in cognitive services and deep learning are encouraged to participate, as foundational knowledge can be built upon during the course.
Course 40530: Microsoft Cloud Workshop on Cognitive Services and Deep Learning focuses on designing and implementing AI solutions using Azure technologies.
Target Audience for Course 40530:
This course equips participants with skills to create deep learning solutions using Microsoft Cognitive Services and TensorFlow within Azure. Learners will design, deploy, and integrate AI models into applications.