Healthcare
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AI for Healthcare Nanodegree Program

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Course Features

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Duration

4 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Effort

15 hours per week

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Teaching Type

Self Paced

Course Description

Artificial Intelligence (AI) has transformed many industries over the past decade. Healthcare is no exception. The amount of healthcare data has increased 20x over the past seven years. This is expected to lead to a surge in the Healthcare AI market, which will reach $2.1 billion by 2025, at a 50.4% annual growth rate. AI in Healthcare is changing the way patients are treated. It has seen a 20x increase in healthcare data over the past 7 years, resulting in an expected rise in the Healthcare AI market from $2.1 billion to $36.1 billion by 2025 at a 50.4% annual growth rate. The global COVID-19 pandemic has made it a crucial time to learn more about artificial intelligence and how you can help improve the world's healthcare infrastructure.

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Highlights

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Course Credibility

Top 1 Percentile

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Pedagogy

Top 1 Percentile

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Career Impact

Top 1 Percentile

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Hands on training

Top 20 Percentile

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Parameters

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Course Credibility

Delivered through Udacity a renowned institution in the field, this course offers a comprehensive learning experience.

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Pedagogy

This comprehensive course equips you with all major Health Informatics skills applicable to your daily life. Personalized teaching ensures one-on-one doubt resolution with faculty, maximizing skill acquisition. These practical skills empower you to confidently apply your knowledge and thrive in various real-life situations. An exceptional course in Health Informatics, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Hands on training

This course stands out as one of the top 20 percentile options in Health Informatics, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. Inclusion of the capstone project and hands-on training offers a dual focus. This enriches its value, making it an ideal choice for those seeking comprehensive learning and real-world application in Health Informatics.

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Career Impact

This course is exceptional, ranking among the top 1 percentile in Health Informatics for its significant career impact and excellent job assistance. Learners benefit from valuable career opportunities and support, enabling them to secure relevant positions and excel in the industry. The course's dual focus on career impact and job assistance enhances its value, making it an ideal choice for individuals seeking to advance their careers and succeed in the Health Informatics field.

Course Overview

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Job Assistance

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Personlized Teaching

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International Faculty

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Post Course Interactions

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Hands-On Training

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Read, understand, and write code in Python, including language constructs such as functions and classes

Read code using vectorized operations with the NumPy library

Build a machine learning model for a supervised learning problem and understand basic methods to represent categorical and numerical features as inputs for this model

Perform simple machine learning tasks, such as classification and regression, from a set of features

Apply basic knowledge of Python data and machine learning frameworks (Pandas, NumPy, TensorFlow, PyTorch) to manipulate and clean data for consumption by different estimators/algorithms (eg CNNs, RNNs, tree-based models)

What You Will Learn

Be at the forefront of the revolution of AI in Healthcare, and transform patient outcomes

Enable enhanced medical decision-making powered by machine learning to build the treatments of the future

Target Students

Data Scientist

Machine Learning Engineer

AI Specialist

Deep Learning Research Engineer

AI Scientist

Healthcare Researchers

Healthcare Data Scientists

Engineers who want to make an impact in the medical field

Course Instructors

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Nikhil Bikhchandani

Data Scientist at Verily Life Sciences

Nikhil Bikhchandani spent five years working with wearable devices at Google and Verily Life Sciences. His work with wearables spans many domains including cardiovascular disease, neurodegenerative d...
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Emily Lindemer

Director of Data Science & Analytics at Wellframe

Emily is an expert in AI for both medical imaging and translational digital healthcare. She holds a PhD from Harvard-MIT's Health Sciences & Technology division and founded her own digital health com...
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Mazen Zawaideh

Radiologist

Mazen Zawaideh is a Neuroradiology Fellow at the University of Washington, where he focuses on advanced diagnostic imaging and minimally invasive therapeutics. He also served as a Radiology Consultan...
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Ivan Tarapov

Sr. Program Manager at Microsoft Research

At Microsoft Research, Ivan works on robust auto-segmentation algorithms for MRI and CT images. He has worked with Physio-Control, Stryker, Medtronic, and Abbott, where he has helped develop external...

Course Reviews

Average Rating Based on 6 reviews

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