237 Part-time Short courses in Machine Learning

Learn AI's role in addressing complex challenges. Build skills combining human and machine intelligence for positive real-world impact using AI. This AI for Good Specialization is offered by Coursera in partnership with Deeplearning. 

The Introduction to Generative AI with Google Cloud course from Udacity is based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

This Machine Learning for Marketing Specialization offered by Coursera in partnership with O.P. Jindal Global University. 

In this course, you'll start learning what machine learning is by being introduced to the high level concepts through AWS SageMaker.  The Introduction to Machine Learning program is offered by Udacity.

This Supervised Machine Learning course at the University of Waterloo uses the programming language Python to provide you with a comprehensive introduction to supervised learning without overwhelming technicalities. 

This Unsupervised Learning in R course offered by Data Camp provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

In this HR Analytics - Predicting Employee Churn in Python course offered by Data Camp you will learn how to apply machine learning in the HR domain.

This Build Data Lakes and Data Warehouses on Google Cloud course offered by Coursera in partnership with Google Cloud highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. 

GenAI Agent Engineering focuses on equipping professionals with the skills to develop and integrate generative AI agents. The course covers the entire process from prompt engineering to deploying AI agents for advanced applications in various industries.

Before you jump into machine learning though, it’s important to know the basics. This Python for Machine Learning - The Essential Starter Kit course at the University of Waterloo is an essential starting point for machine learning with an approach that is accessible and rooted in practical value.

The Eigenvectors and Eigenvalues course from Udacity will help you learn how to calculate eigenvalues and eigenvectors and why they are important for AI applications.

The Artificial Intelligence Ethics - Machine Learning Models offered by Athabasca University course provides context for how machine learning models actually work and tackles the question of how these models can be designed in ways that better align with core ethical principles.

In the Machine Learning for Materials Informatics course offered by Massachusetts Institute of Technology (MIT), you will get first-hand exposure to this important area of technology in a stimulating and engaging environment.

The aims of the Image Processing and Computer Vision with Industrial Applications course offered by University Teknologi PETRONAS are to equip with knowledge of important techniques and how to apply them in the industry.

This AI, Machine Learning and Data Science for the Petroleum Industry course at the University of Aberdeen introduces you to the fundamental and applied aspects of artificial intelligence (AI), machine learning, and data science for the petroleum industry.

This TensorFlow 2 for Deep Learning Specialization offered by Coursera in partnership with Imperial College London is intended for machine learning researchers and practitioners who are seeking to develop practical skills in the popular deep learning framework TensorFlow. 

In this Winning a Kaggle Competition in Python course offered by Data Camp you will learn how to approach and win competitions on Kaggle.

EdX is an online learning platform trusted by over 12 million users offering the Deep Learning Fundamentals with Keras Certificate in collaboration with IBMx. New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using the popular Keras library.

In this Introduction to Artificial Intelligence (AI) course offered by Coursera in partnership with IBM, includes hands-on labs and a project, providing a hands-on opportunity to explore AI’s use cases and applications. You will also hear from expert practitioners about the capabilities, applications, and ethical considerations surrounding AI. 

This AI for Medical Prognosis course offered by Coursera in partnership with Deeplearning will give you practical experience in applying machine learning to concrete problems in medicine.