Deep Learning on Azure with Python: The Basics of Python Programming

Build key data science skills for machine learning

Python is one of the world’s most popular programming languages. Studies have shown that proficiency in Python is currently the most in-demand tech skill for data science jobs.

It is also the language that underpins artificial intelligence and machine learning on Microsoft Azure Cognitive Services. So if you’re looking to develop your knowledge of deep learning, Python programming is a fundamental skill.

This course covers the basics of Python programming, helping you to build the data science skills needed to work in artificial intelligence.

Learn how to use Python for data analysis

Equipped with the hands-on skills from this course, you’ll move closer to being able to build and manage deep learning models. You’ll be able to use Python for data analysis, and understand how to use sophisticated Python functionality.

This course is offered through a collaboration between Microsoft, FutureLearn, and CloudSwyft. CloudSwyft is a cloud-based technology training provider, focused on equipping learners with future-ready skills through partnerships with major tech companies.

Build your Python skills from the ground up

You will be empowered to build key data science skills for artificial intelligence and machine learning. The basics of Python programming covered will give you a foundational understanding of what it is possible to do with Python. This understanding will advance you towards building deep learning models in Microsoft Azure with Python.

This course will also prepare you to sit an exam for Microsoft Azure AI Engineer Associate (AI-100) certification.

This machine learning and artificial intelligence course is designed for those who would like to learn more about deep learning. Basic knowledge of Python programming would be advantageous, as would solid maths and computer science skills.

This machine learning and artificial intelligence course is designed for those who would like to learn more about deep learning. Basic knowledge of Python programming would be advantageous, as would solid maths and computer science skills.

• Explore Python language fundamentals, including basic syntax, variables, and types
• Create and manipulate regular Python lists
• Use functions and import packages
• Build Numpy arrays, and perform interesting calculations