Learn the foundations of artificial intelligence programming and equip yourself with the capabilities and knowledge to build your own application using Python.
Demand for employees with AI skills is skyrocketing, and Python is one of the most widely used languages in artificial intelligence (AI). According to the World Economic Forum’s (WEF) 2018 Future of Jobs report, an additional 133 million AI related jobs will be created by 2022. There’s no better time than now to upskill and future-proof your career. Our AI Programming with Python course will provide you with the knowledge and skills to build your own AI application in three months. Develop the confidence to advance in your career in this exciting field, or take your new found skills in technical programming and apply them within your existing workplace.
Our AI Programming with Python course is ideal for IT specialists or professionals with a high level of awareness within your domain and are familiar with data, statistics, and programming. You may either be new or have little experience in artificial intelligence.
During this course, you will use your newly acquired Python coding skills to complete two projects.
In the first project, you’ll classify images using a trained image finder. In your second project, you’ll get to train your own deep learning model on a dataset of images. After completing this course, you’ll walk away with your own AI application and an RMIT credential which can be validated, recognised, and shared on social media platforms.
After completing an RMIT Future Skills course, you will earn an RMIT credential which can be validated, recognised and shared on social media platforms.
Module 1
Introduction to Python
Start coding with Python, drawing upon libraries and automation scripts to solve complex problems quickly.
Module 2
NumPy, Pandas, and Matplotlib
Learn how to use all the key tools for working with data in Python: Anaconda, NumPy, Pandas, and Matplotlib.
Module 3
Linear Algebra Essentials
Learn the foundational math you need for AI success: vectors, linear transformations, and matrices – as well as the linear algebra behind neural networks.
Module 4
Calculus Essentials
Learn the foundations of calculus to understand how to train a neural network: plotting, derivatives, the chain rule, and more. See how these mathematical skills visually come to life with a neural network example.
Module 5
Neural Networks
Gain a solid foundation in the hottest fields in AI: neural networks, deep learning, and PyTorch.
Get ready to meet some of the biggest names in the business
Udacity’s subject matter experts on this course include people like Ortal Arel. Ortal has a PhD in computer engineering, and has been a professor and researcher in the field of applied cryptography. She has worked on design and analysis of intelligent algorithms for highspeed custom digital architectures.
Jennifer has a PhD in computer science and a Masters in Biostatistics; she was a professor at Florida Polytechnic University. She previously worked at RTI International and United Therapeutics as a statistician and computer scientist.
Our Learner Success team are here to help you with any course enablement issues such as logins and passwords, withdrawals and deferrals, obtaining your RMIT badge, and more.
Get a world-class education and transform your career.
Develop skills that have been validated by industry, while getting credentialed by a world-leading university.
You'll gain knowledge and practical skills from renowned industry partners who are at the forefront of their field.
Advance your career while you study. RMIT Online courses let you balance work, study and life commitments.
Be guided by a network of industry experts and peers, and supported by our dedicated success team.