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Artificial Intelligence (AI) in Healthcare Course

Artificial Intelligence (AI) in Healthcare Course

Name: Artificial Intelligence (AI) in Healthcare Course
Item: Artificial Intelligence (AI) in Healthcare Course
Rating: 5
Author: Tanmoy Kar

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Edureka's AI in Healthcare course empowers learners with expertise in cutting-edge Generative AI, pivotal in revolutionizing healthcare. Delve into AI's intersection with healthcare, exploring Generative AI and Deep Learning applications, along with predictive modeling and develop essential skills in data analysis, preprocessing, and ethical decision-making to effectively leverage AI in healthcare settings. Join us now to be a part of this AI revolution and propel your career to the next level.

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Why should you take Artificial Intelligence (AI) in Healthcare Course?

The global AI in healthcare market size was estimated at $19.27 billion in 2023 and is expected to grow at a CAGR of 38.5% from 2024 to 2030.

90% of hospitals will use AI-powered technology for early diagnosis and remote patient monitoring by 2025.

According to 79% of healthcare professionals surveyed, robotics and AI will significantly improve the healthcare industry.

Curriculum

Leveraging Generative AI in Healthcare

Topics

Introduction to Generative AI
Applications of Generative AI
How healthcare professionals use Generative AI
Why AI is needed in Healthcare
Examples of AI in Healthcare
Real-world case studies
Challenges and Limitations
Data Privacy and Security
Generative AI: Benefits and Risks
Ethical Considerations

Hands-on

Implementing Generative AI Use Cases

Skills

Generative AI Fundamentals
Ethical Insights into Generative AI
Importance of Data Privacy and Security
Balancing Benefits and Risks

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Deep Learning

Topics

What is Neuron
What is Deep Learning
What is ANN
What is keras
Introduction to Pandas
Data Visualization with Pandas
Data Preprocessing by Pandas
Important terms in Neural Network
What is Activation Function
What is sigmoid function
What is tanh function
What is Rectified Linear Unit function
What is Leaky ReLU function
What is The Exponential Linear Unit Function
What is The Swish function
What is The softmax function
Decoding all the activation functions

Hands-on

Data Visualization
Data Preprocessing
Activation Function Analysis in Neural Network Image Classification

Skills

Neural Network Concepts
Visualization Techniques
Data Preprocessing
Activation Function Understanding
Neural Network Implementation

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Predictive Model for Healthcare Diagnosis

Topics

Problem Analysis
Understanding the Library and Data Importation
Data Analysis
Data Preprocessing
Handling Missing Data
Splitting Data into Training, Testing, and Validation Sets
Data Visualization
Building Initial Model
Evaluation Metrics: Confusion, Precision, and Recall
One-hot Encoding
Understanding Response Encoding Theory
Implementing Response Encoding
Evaluating Variation Column
Evaluating Text Column
Data Preparation for Machine Learning Models
Feature Combination
Naive Bayes Implementation
K Nearest Neighbour Classification
Logistic Regression Implementation
Linear Support Vector Machines
Random Forest with Response Coding
Random Forest Classifier Implementation
Stacking Model Implementation
Maximum Voting Classifier

Hands-on

Building a predictive model to assist in diagnosing health

Skills

Data Analysis
Data Preprocessing
Machine Learning Modeling
Model Evaluation
Feature Engineering
Data Visualization
Model Selection

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Predicting Diabetes with Multilayer Perceptron

Topics

Introduction to Multilayer Perceptron (MLP)
Structure and Architecture of Multilayer Perceptron
Backpropagation Algorithm for Training MLP
Feature Selection and Data Preparation for Diabetes Prediction
Building a Multilayer Perceptron Model for Diabetes Prediction
Training and Tuning Hyperparameters of MLP
Evaluating Model Performance: Accuracy, Precision, Recall, and F1 Score
Handling Imbalanced Data in Diabetes Prediction
Interpretability and Explainability of MLP Models
Visualizing Model Predictions and Decision Boundaries
Optimizing MLP Model for Real-world Deployment
Ethical Considerations in Diabetes Prediction Using MLP
Case Studies and Real-world Applications of MLP in Diabetes Prediction

Hands-on

Building a Multilayer Perceptron Model for Diabetes Prediction

Skills

Understanding of Multilayer Perceptron (MLP)
Data Preparation and Feature Selection
Building and Training MLP Models
Model Evaluation and Performance Metric

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Artificial Intelligence in Healthcare Course Details

About Artificial Intelligence in Healthcare Course

The AI in Healthcare course offers a comprehensive exploration of how AI technologies are transforming the healthcare industry. Learners acquire the knowledge of generative AI's uses, ethical issues, and practical application in the healthcare sector. They also delve into Deep Learning, where they learn about neural networks, activation functions, and techniques for preprocessing data. Before moving on to predictive modeling for healthcare diagnosis, the course first covers data analysis, preprocessing, and the application of various machine learning algorithms. Finally, the learners will learn about the model building and ethical concerns associated with Multilayer Perceptron (MLP) and its application in diabetes prediction. Learners in the course acquire fundamental skills in data analysis, preprocessing, machine learning modeling, model evaluation, and ethical decision-making, which are necessary for using AI in healthcare settings.

What are the learning outcomes of this Artificial Intelligence in Healthcare Course?

Upon completing the AI in Healthcare course, participants will attain the following learning outcomes:

Comprehensive Understanding: Gain a deep understanding of AI technologies and their applications in healthcare, including Generative AI, Deep Learning, and predictive modeling.
Practical Skills: Develop practical skills in data analysis, preprocessing, machine learning modeling, and model evaluation through hands-on exercises and real-world case studies.
Ethical Considerations: Understand the ethical implications of AI in healthcare, including data privacy, security, and the responsible use of AI algorithms for patient care.
Effective Implementation: Learn how to effectively implement AI techniques in healthcare settings to improve patient outcomes, streamline processes, and optimize healthcare delivery.
Critical Thinking: Develop critical thinking skills to evaluate the benefits, risks, and limitations of AI technologies in healthcare and make informed decisions.

Why take up this Artificial Intelligence in Healthcare Course?

Enrolling in the AI in Healthcare Course is a strategic decision for professionals seeking to address critical healthcare challenges, expand their career opportunities, and stay competitive in today's job market. Learners can unlock a variety of career paths, support healthcare innovation, and improve patient care and outcomes by becoming experts in AI technologies tailored to the healthcare industry. This course empowers people to drive positive change at the nexus of technology and healthcare while staying up to date on advancements in AI and its applications in the field.

Who should take up this Artificial Intelligence in Healthcare Course?

This course is tailored for:

Healthcare Data Scientist
AI Research Scientist
Clinical Informatician
Healthcare AI Engineer/Developer
Medical Image Analyst
Clinical Data Analyst
Healthcare AI Consultant
Healthcare AI Product Manager
Clinical Decision Support Specialist
Healthcare AI Ethicist

What are the prerequisites for this Artificial Intelligence in Healthcare Course?

There are no prerequisites required for this Artificial Intelligence in Healthcare course. However, it is beneficial to have:

Basic Python Programming Knowledge
Problem Solving Skills
Fundamentals of Machine Learning

What is the syllabus for artificial intelligence in healthcare course?

The syllabus for artificial intelligence in healthcare course is

Leveraging Generative AI in Healthcare

Deep Learning

Predictive Model for Healthcare Diagnosis

Predicting Diabetes with Multilayer Perceptron

What are the system requirements for this AI in Healthcare course?

The system requirements for a Artificial Intelligence in Healthcare course include:

A laptop or desktop computer with a minimum of 8 GB RAM with Intel Core-i3 and above processor to run NLP and machine learning models is required.
Stable and high-speed internet connection is necessary for accessing online course materials, videos, and software.

How will I execute the practicals in this Artificial Intelligence in Healthcare Course?

Practicals for this course will be implemented using Python, VS Code and Jupyter Notebook. Detailed step-by-step installation guides are available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.

View course curriculum

Testimonial Reviews

Madhusudan Rao SSenior software consultant at PCS Technical Services, Bengaluru Area, India

I had attended a couple of demo session with other training institutes before joining Edureka. I can ... Read More

Venkat RamanaTest Architect at NCR corporation pvt ltd

Thanks for the quick reply and solving the issue. I was really impressed by your 24/7 support even d ... Read More

Tanmoy Kar

The online course delivered by Edureka on big data, Hadoop - developer is really nice. The first thi ... Read More

Suman RajaIT Analyst at Tata Consultancy Services Greater Philadelphia Area Information Technology and Services

Definitely there is no doubt in saying that all the instructors at Edureka are industry experienced ... Read More

Sarvani KareSr. Software developer, Lockheed Martin Information Technology, Baltimore, Maryland Area

Very good courses covering lots of topics. Excellent class delivery and lecture notes. I really lear ... Read More

Eric ArnaudPhD candidate in computer engineering speciality applied cryptography at Korea University of Technology and Education

I would like to recommend any one who wants to be a Data Scientist just one place: Edureka. Explanat ... Read More

Video Reviews

Our learner Balasubramaniam shares his Edureka learning experience and how our training helped him stay updated with evolving technologies.

Sriram speaks about his learning experience with Edureka and how our Hadoop training helped him execute his Big Data project efficiently.

Vinayak shares his Edureka learning experience and how our Big Data training helped him achieve his dream career path.

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AI in Healthcare Course FAQs

What is the importance of AI in healthcare?

AI has the potential to revolutionize healthcare by improving diagnostic accuracy, personalizing treatment plans, optimizing resource allocation, and enhancing patient outcomes.

Do I need prior experience in AI or healthcare to enroll in this course?

While prior experience in either AI or healthcare is beneficial, the course is designed to accommodate learners with varying backgrounds. Basic knowledge of programming and fundamentals of machine learning is recommended.

Will I get placement assistance after completing this Artificial Intelligence in Healthcare Course?

To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.

Who are the instructors forAI in Healthcare Course?

All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.

What if I have more queries after completion of AI in Healthcare Course?

Just give us a CALL at +91 98702 76459/1844 230 6365 (US Tollfree Number) OR email at sales@edureka.co.

How much does this AI in Healthcare course cost?

The AI in Healthcare course is currently priced at INR 16,999. However, you can avail yourself of a 15% discount and enroll for INR 14,449, saving INR 2,550. This offer is for a limited time, so act fast. If you are concerned about the upfront cost, you can choose to start with a no-cost EMI of INR 4,817 per month. Click the link to learn more.

What if I miss a class of Artificial Intelligence in Healthcare Course?

You will never miss a lecture at Edureka! You can choose either of the two options:

View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch.

What are the steps to enroll in this AI in Healthcare course?

To enroll in the AI in Healthcare course, follow these simple steps:

1. Visit the course website.

2. Explore the course details and select the preferred batch.

3. Click on "Enroll" and choose your preferred payment option.

4. Provide the necessary information.

5. Apply any available discount.

6. Review the enrollment details.

7. Confirm your enrollment.

8. Receive the confirmation email with the course access information.

9. Start learning!

What are the other Courses on Artificial Intelligence provided by Edureka?

Here is the list of courses offered by Edureka:

View course curriculum

Be future ready. Start learning

Structure your learning and get a certificate to prove it.

Artificial Intelligence (AI) in Healthcare Course

Why should you take Artificial Intelligence (AI) in Healthcare Course?

Curriculum

Leveraging Generative AI in Healthcare

Deep Learning

Predictive Model for Healthcare Diagnosis

Predicting Diabetes with Multilayer Perceptron

Artificial Intelligence in Healthcare Course Details

About Artificial Intelligence in Healthcare Course

What are the learning outcomes of this Artificial Intelligence in Healthcare Course?

Why take up this Artificial Intelligence in Healthcare Course?

Who should take up this Artificial Intelligence in Healthcare Course?

What are the prerequisites for this Artificial Intelligence in Healthcare Course?

What is the syllabus for artificial intelligence in healthcare course?

What are the system requirements for this AI in Healthcare course?

How will I execute the practicals in this Artificial Intelligence in Healthcare Course?

Testimonial Reviews

Video Reviews

AI in Healthcare Course FAQs

What is the importance of AI in healthcare?

Do I need prior experience in AI or healthcare to enroll in this course?

Will I get placement assistance after completing this Artificial Intelligence in Healthcare Course?

Who are the instructors forAI in Healthcare Course?

What if I have more queries after completion of AI in Healthcare Course?

How much does this AI in Healthcare course cost?

What if I miss a class of Artificial Intelligence in Healthcare Course?

What are the steps to enroll in this AI in Healthcare course?

What are the other Courses on Artificial Intelligence provided by Edureka?

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