Data Science is a constantly evolving discipline, which makes it possible to extract relevant information from a large amount of data. To perform in this area, it is important to master several commonly used tools, such as Python, Machine Learning, Deep Learning, ChatGPT, R or Microsoft Azure. These tools help manipulate and analyze data, build predictive models, and perform large-scale analytics in the cloud.
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In this course, you will learn about AWS’s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works.
In this course you will learn how to operate machine learning solutions at cloud scale using Azure Machine Learning.
In this course, you will learn about the data engineering as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies.
This course provides participants with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases.
In this course students will build on existing analytics experience and will learn to implement and manage a data analytics environment, query and transform data, implement and manage data models, and explore and visualize data.
This course focuses on the use of a particular TensorFlow API for developing and training machine learning models.
Du lundi au vendredi, de 8:30 à 18:00.
Monday to Friday, from 8:30 am to 06:00 pm.
