- Introduction to AI for 2D Medical Imaging
- Clinical Foundations of 2D Medical Imaging
- 2D Medical Imaging Exploratory Data Analysis
- Classification Models of 2D Medical Images
- Translating AI Algorithms for Clinical Settings with the FDA
AI for Healthcare
Enhance the future of human race by machine learning with the help or of Nano degree programme in AI for healthcare by ...Read more
Expert
Online
4 Months
Quick Facts
particular | details | ||||
---|---|---|---|---|---|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Learning efforts
10-15 Hours Per Week
|
Course overview
When it comes to health care especially for life and death situations AI has made things very easy for us. However, it is still expected to drastically change the way medicine is practised. It will also replace the surgeries done by the doctors to the surgeries done using Artificial intelligence, make diagnosing complex diseases, genetic issues and many other health problems extremely easy in the future.
The Nanodegree Programme in AI for Healthcare by Udacity will build the candidate for their future as well as for the future of the human race. It will help the candidate understand in-depth how AI works and how is it affecting healthcare facilities by learning its technical aspects. This programme is one of the most preferred programs by candidates. By pursuing this programme, candidates will be able to develop 2D and 3D medical images.
The highlights
- Expert faculty
- Free 7-day trial
- Certification by Udacity.
Program offerings
- Real-world projects
- Personal career coaching
- Technical support
Course and certificate fees
The fee for the AI for Healthcare is summarized as follows:
Fees components | Amount |
Annual fees | Rs. 20,500 |
Monthly fees - pay as you go | Rs. 10,250 /month |
certificate availability
Yes
certificate providing authority
Udacity
Who it is for
AI For Healthcare course online programme is ideally best suited for candidates who are:
- AI Specialist
- Machine Learning Engineer
- Deep Learning Research Engineer
- AI Scientist
- Data Scientist
- Professionals are willing to contribute in the medical field namely Scientists, Researchers and Engineers.
Eligibility criteria
Experience
The candidate should have experience in machine learning and python
Education
Candidates willing to apply for this programme should be able to write, read and develop codes in Python.
He/she should know about Python and other machine learning frameworks
Candidates must know how to read code with the help of vectorized operations
Certification qualification details
The entire programme comprises, of course, curriculum as well as 4 projects. Candidates are expected to complete and submit these projects within 4 months of time. Failing to do so, candidates will not be given the certification for participation.
What you will learn
- The candidate will learn about different 2D medical imaging modalities and their clinical applications
- Learn applying common image pre-processing and augmentation techniques to data
- Learn how to perform some of the common 3D medical image analysis tasks such as windowing, MPR and 3D reconstruction.
- Start using Python-based software packages to load and inspect 3D medical imaging volumes
- The candidate will learn the usage and structure of key industry code sets (ICD, CPT, NDC).
- They will learn how to Create derived features (bucketing, cross-features, embeddings) utilizing TensorFlow feature columns on both continuous and categorical input features
The syllabus
Applying AI to 2d medical imaging data
Applying AI to 3d medical imaging data
- Introduction to AI for 3D Medical Imaging
- 3D Medical Imaging - Clinical Fundamentals
- 3D Medical Imaging Exploratory Data Analysis
- 3D Medical Imaging - Deep Learning Methods
- Deploying AI Algorithms in the Real World
Applying AI to the data
- EHR Data Security and Analysis
- EHR Code Sets
- EHR Transformations & Feature Engineering
- The building, Evaluating, and Interpreting Models
Applying AI to wearable device data
- Intro to Digital Sampling & Signal Processing
- Introduction to Sensors
- Activity Classification
- ECG Signal Processing
Admission details
Filling the form
The following is the admission process for the Nano degree programme in AI for healthcare:
Step 1: Visit the URL for the programme
Step 2: At the bottom of the page there are two options of payment available: choose the one that the candidate desires by clicking the enrol button now.
Step 3: If the candidate is new click the check out button, or sign in if already have an account
Step4: Thereafter, the candidate can make the payment through debit/credit card, net banking, and other payment methods
Scholarship Details
Candidates willing to apply for this programme can check out scholarship details on the course page. They need to click on Notify Me. After this, the candidates will start receiving notifications for the scholarships uploaded on the website.
How it helps
By doing this Nano degree programme in AI for healthcare the candidate will receive personal coaching services with technical mentor support. They will receive real world projects from industry experts, personal career coach and career services, help in interview preparations. This is a flexible learning programme where the students will be able to learn at their own pace and reach their targets. The programme is available with two different payment options which is helpful to the candidate to pay their fees as their own availability.
After completion of the course, we have personal assistance to help the candidate for job search. The candidate will get access to the programme classroom immediately after they enrol for the programme. In addition to this, once the candidate completes the programme and gets the certification, he/she can add that in their profile and expect a good response from a job perspective. They can receive better job prospects in the same company or from different companies.
Instructors
FAQs
Are there any other expenses to be done other than the fees? Like for the learning materials?
No, there is no need for the candidate to buy or do any expenses for the study material, everything will be provided by the academy.
Is there a refund option available?
No, there is no refund option available for the candidate as there is a seven days free trial available for the candidate to see if they are comfortable with the teaching style in the course.
If I have any doubt regarding the chapter or a topic who will help me overcome it?
For the candidate to learn easily we have our personal coaching and career services available. If they have any doubts they can easily connect with their mentor.
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