Artificial intelligence plays an important role in healthcare, such as brain tumor classification, medical image analysis, bioinformatics, etc. Courses in AI and related fields are gaining popularity every day. MLTut is an online platform that provides articles on Machine Learning and Data Science. They have filtered 7 AI courses for healthcare based on the rating of the courses, coverage of topics, engaging trainer and interesting lectures, number of students benefitted and good reviews from various aggregators. 

Let us take a look at the AI courses listed on the platform.

AI for Healthcare– Udacity: This is an advanced level 4-month course with a rating of 4.6 out of 5. This AI for Healthcare Nano-Degree Program is dedicated to AI for Healthcare. There are four courses and four projects in this Nanodegree program. The students will get to work on real-world projects with industry experts and receive support from technical mentors. This course is best recommended for advanced learners who want to dive deep into AI in the healthcare domain. 

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AI for Medicine Specialization– deeplearning.ai: With a rating of 4.7 out of 5, this three-month course is a Specialization Program dedicated to healthcare. There are three courses in this program. The concepts are explained using real-life scenarios, which helps students understand complex topics easily. This is also a practical based course. The students will get a Shareable Certificate and Course Certificates upon course completion. This is an intermediate-level course.

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AI in Healthcare Specialization- Stanford University: With a rating of 4.8, this nine-month course is beginner-friendly. The students will be provided with a Shareable Certificate and Course Certificates upon completion. This program is the perfect balance between theory and practice. There are various practical exercises and videos for learning.

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Statistical Analysis with R for Public Health Specialization– Imperial College London: With a rating of 4.7, this four-month course is also beginner-friendly. In this program, students will learn statistics basics such as types of variables, common distributions, sampling, etc. They will know the Parkinson’s Disease Study Issues. Anyone interested in medicine and statistics can enrol in this program. 

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Fundamentals of Machine Learning for Healthcare- Stanford University: Withover 4.9 rating, this is a 12 hour beginner friendly course. Throughout this course, the students will learn about Machine Learning and Deep Learning algorithms. This course claims that beginners can enroll in this course, but I thought some previous Machine Learning Knowledge is good to have.

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AI for Medical Diagnosis—deeplearning.ai: This 19-hour course, which has an over 4.7 rating, is part of the AI for Medicine Specialization. It is a short course on using computer vision and convolutional neural networks in medical image diagnosis.

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Biostatistics in Public Health Specialization– Johns Hopkins University: With over 4.8 rating out of 5, this is a four-month beginner-friendly course. This Biostatistics in Public Health Specialization is the perfect program for learning statistical concepts used in public health. This program is a math-heavy program. Therefore, mathematical ability is required, including basic algebra, logarithms, and the equation of a line.

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