4 months
Duration
1356 USD/full
1356 USD/full
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

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 with this AI for Healthcare at Udacity.

Visit the official programme website for more information

Overview

Learn to build, evaluate, and integrate predictive models that have the power to transform patient outcomes. Begin by classifying and segmenting 2D and 3D medical images to augment diagnosis and then move on to modeling patient outcomes with electronic health records to optimize clinical trial testing decisions. Finally, build an algorithm that uses data collected from wearable devices to estimate the wearer’s pulse rate in the presence of motion.

AI for Healthcare is offered at Udacity .

Career:

This program will help you apply your Data Science and Machine Learning expertise in roles including Physician Data Scientist; Healthcare Data Scientist; Healthcare Data Scientist, Machine Learning; Healthcare Machine Learning Engineer, Research Scientist, Machine Learning, and more roles in the healthcare and health tech industries that necessitate knowledge of AI and machine learning techniques.

Programme Structure

Content:

  • Applying AI to 2D Medical Imaging Data
  • Applying AI to 3D Medical Imaging Data
  • Applying AI to EHR Data
  • Applying AI to Wearable Device Data

Key information

Duration

  • Part-time
    • 4 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

This Nanodegree program accepts everyone, regardless of experience and specific background.

To be best prepared to succeed in this program, students should be able to:

Intermediate Python:

  • Read, understand, and write code in Python, including language constructs such as functions and classes.
  • Read code using vectorized operations with the NumPy library.

Machine Learning:

  • 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 (e.g. CNNs, RNNs, tree-based models).

Tuition Fee

To alway see correct tuition fees
  • International

    1356 USD/full
    Tuition Fee
    Based on the tuition of 1356 USD for the full programme during 4 months.
  • National

    1356 USD/full
    Tuition Fee
    Based on the tuition of 1356 USD for the full programme during 4 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

Our partners

AI for Healthcare
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Udacity

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