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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Machine learning and artificial intelligence are new technological steps that can be applied in numerous fields to bring innovative breakthroughs. Machine learning and artificial intelligence has also an extraordinary scope and application in the medical and healthcare field. Fundamentals of Machine Learning for Healthcare will help the students to understand the significance of machine learning and artificial intelligence in the medical field and their potential to bring about transformations.

Fundamentals of Machine Learning for Healthcare Certification Syllabus will introduce the learners to the basic concepts of machine learning and its applications in medicine and healthcare. By taking the course offered by Stanford University, the students will learn healthcare, health policy, pharmaceutical development, data science, and many more.

Fundamentals of Machine Learning for Healthcare Certification Course, administered by Coursera, is a beginner-level programme that can be taken by the candidates at their own pace. Fundamentals of Machine Learning for Healthcare Certification by Coursera, instructed by Matthew Lungren who is the Associate Professor at the Department of Radiology, and Serena Yeung who is the Assistant Professor at Biomedical Data Science, is the third course in AI in Healthcare Specialization.

The Highlights

Provided by Coursera
Approximately 14 hours of programme
Offered by the Stanford University
Flexible Deadlines
Self-Paced Learning Option
Shareable Certificate
Beginner Level Course
Financial Aid Available
100% Online Course

Programme Offerings

English videos with multiple subtitles
practice quizzes
Graded Assignments with peer feedback
graded Quizzes with feedback
Graded Programming Assignments
Course Videos & Readings
EMI payment options
14 day refund period

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

Fundamentals of Machine Learning for Healthcare Certification Fee will vary based on how many months the learners want to devote to the course. The month-wise fee structure is given below:

Description	Total Fee in INR
Course Fee, 1 month	Rs. 6,569
Course Fee, 3 months	Rs. 13,139
Course Fee, 6 months	Rs. 19,708

Eligibility Criteria

Certification Qualifying Details

The students are required to complete successfully all the gamut of proceedings of the programme, including the course readings, quizzes, assignments, and final assessment, to get conferred with the Fundamentals of Machine Learning for Healthcare Certification.

What you will learn

Machine learningData science knowledgeKnowledge of Pharmaceuticals

At the end of the Fundamentals of Machine Learning for Healthcare Training, the students will learn:

Relationships between the fields of machine learning, biostatistics, and traditional computer programming.
Advanced neural network architectures for text classification, object detection, and segmentation.
Pharmaceutical development
Data Science
Using data for the validation and test of machine learning models.

Who it is for

Health InspectorMedical Lab TechnicianDoctorNurseHealth Officer

Fundamentals of Machine Learning for Healthcare Classes can be a highly recommended programme for the professionals like

Admission Details

Step 1- At first, the students will have to register and sign up on https://www.coursera.org/ to get access to the courses offered by Coursera.

Step 2 - After activating the Coursera account, the candidate can sign in.

Step 3 - Then, the candidate can search the ‘Stanford University’ in the search column, and then, the courses offered by Stanford University will appear on the screen.

Step 4 - Then, find the course ‘Fundamentals of Machine Learning for Healthcare’ in the list and click on it.

Step 5- Then, the page of the course will appear on the screen, and then, click on the option ‘enroll’. The students can enroll in the programme either free of cost or pay the fee prescribed by Coursera.

The Syllabus

Videos

Why machine learning in healthcare?
History of AI in Medicine
Course Overview
Why Healthcare Needs Machine Learning
Machine Learning Magic
Machine Learning, Biostatistics, Programming
Can Machine Learning Solve Everything?

Readings

Getting Started: Creators of This Course
Video Image Credit
Video Image Credit
Study Guide Module
Citations and Additional Readings
Video Image Credit

Quizzes

Reflection Exercise
Reflection Exercise
Knowledge Check

Videos

Machine Learning Terms, Definitions, and Jargon Part 1
Machine Learning Terms, Definitions, and Jargon Part 2
How Machines Learn Part
How Machines Learn Part
Supervised Machine Learning Approaches: Regression and the "No Free Lunch" Theorem
Other Traditional Supervised Machine Learning Approaches
Support Vector Machine (SVM)
Unsupervised Machine Learning

Readings

Study Guide Module
Citations and Additional Readings

Quizzes

Reflection Exercise
Reflection Exercise
Knowledge Check

Videos

Introduction to Deep Learning and Neural Network
Deep Learning and Neural Networks
Cross Entropy Loss
Gradient Descent
Representing Unstructured Image and Text Data
Convolutional Neural Networks
Natural Language Processing and Recurrent Neural Networks
The Transformer Architecture for Sequences
Commonly Used and Advanced Neural Network Architectures
Advanced Computer Vision Tasks and Wrap-Up

Readings

Video Image Credit
Study Guide Module
Citations and Additional Readings

Quizzes

Reflection Exercise
Reflection Exercise
Knowledge Check

Videos

Introduction to Model Performance Evaluation2m
Overfitting and Underfitting8m
Strategies to Address Overfitting, Underfitting and Introduction to Regularization 5m
Statistical Approaches to Model Evaluation5m
Receiver Operator and Precision Recall Curves as Evaluation Metrics

Readings

Study Guide Module 45m
Citations and Additional Readings

Quizzes

Reflection Exercise 1
Reflection Exercise 2
Knowledge Check

Videos

Introduction to Common Clinical Machine Learning Challenges6m
Utility of Causative Model Predictions2m
Context in Clinical Machine Learning7m
Intrinsic Interpretability 3m
Medical Data Challenges in Machine Learning Part 15m
Medical Data Challenges in Machine Learning Part 25m
How Much Data Do We Need?3m
Retrospective Data in Medicine and "Shelf Life" for Data5m
Medical Data: Quality vs Quantity

Readings

Study Guide Module
Citations and Additional Readings

Quizzes

Reflection Exercise
Reflection Exercise
Knowledge Check

Videos

Clinical Utility and Output Action Pairing
Taking Action - Utilizing the OAP Framework
Building Multidiciplinary Teams for Clinical Machine Learning
Governance, Ethics, and Best Practices
On Being Human in the Era of Clinical Machine Learning
Death by GPS and Other Lessons of Automation Bias

Readings

Study Guide Module
Citations and Additional Readings
Video Image Credit
Recommended Reading for Ethics

Quizzes

Reflection Exercise
Reflection Exercise
Knowledge Check

Video

Introduction to Foundation Models
Adapting to Technology
General AI and Emergent Behavior
How Foundation Models Work
Healthcare Use Cases for Text Data
Healthcare Use Cases for Non-textual Unstructured Data
Challenges and Pitfalls
Conclusion

Video

Wrap Up and Goodbyes

Readings

Final Assessment Note
Claim CME Credit
Full Study Guide

Quiz

Final Assessment

Instructors

Stanford Frequently Asked Questions (FAQ's)

1: Which university is offering the Fundamentals of Machine Learning for Healthcare Online Certification?

The course is provided by Stanford University.

2: In which mode the Fundamentals of Machine Learning for Healthcare Online Course is offered?

The programme is offered completely in the online mode.

3: How many hours did the learners need to complete the programme?

The learners can complete the programme within about 14 hours.

4: Will the students be provided with a certificate after the course?

Yes, the students will be awarded a shareable certificate from the Stanford University School of Medicine which is accredited by the Accreditation Council for Continuing Medical Education (ACCME).

5: Can the students pay the fee in installment mode?

Yes, the learners can pay the fee in installment mode.