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Artificial Intelligence (AI) in Healthcare Course

Artificial Intelligence (AI) in Healthcare Course
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    Live Online Classes starting on 29th Jun 2024
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    Instructor-led AI in Healthcare live online Training Schedule

    Flexible batches for you

    Price 16,99914,449
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    Why enroll for Artificial Intelligence (AI) in Healthcare Course?

    pay scale by Edureka courseThe 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.
    Industries90% of hospitals will use AI-powered technology for early diagnosis and remote patient monitoring by 2025.
    Average Salary growth by Edureka courseAccording to 79% of healthcare professionals surveyed, robotics and AI will significantly improve the healthcare industry.

    Artificial Intelligence in Healthcare Course Benefits

    The market for generative AI is projected to reach $1.3 trillion by 2032, and AI is predicted to displace 85 million jobs globally by 2025 according to Bloomberg and the World Economic Forum. Enrolling in this course is a strategic move for professionals in healthcare to tackle challenges, expand career opportunities, and stay competitive. The course supports professional and personal growth, equipping learners with tools to keep updated on AI in healthcare and drive positive change at the intersection of technology and healthcare.
    Annual Salary
    Clinical Data Scientist average salary
    Hiring Companies
     Hiring Companies
    Want to become a Clinical Data Scientist?
    Annual Salary
    Healthcare Project Manager average salary
    Hiring Companies
     Hiring Companies
    Want to become a Clinical Data Scientist?
    Annual Salary
    Healthcare Data Analyst average salary
    Hiring Companies
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    Why Artificial Intelligence (AI) in Healthcare Course from edureka

    Live Interactive Learning

    Live Interactive Learning

    • World-Class Instructors
    • Expert-Led Mentoring Sessions
    • Instant doubt clearing
    Lifetime Access

    Lifetime Access

    • Course Access Never Expires
    • Free Access to Future Updates
    • Unlimited Access to Course Content
    24x7 Support

    24x7 Support

    • One-On-One Learning Assistance
    • Help Desk Support
    • Resolve Doubts in Real-time
    Hands-On Project Based Learning

    Hands-On Project Based Learning

    • Industry-Relevant Projects
    • Course Demo Dataset & Files
    • Quizzes & Assignments
    Industry Recognised Certification

    Industry Recognised Certification

    • Edureka Training Certificate
    • Graded Performance Certificate
    • Certificate of Completion

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    About your Artificial Intelligence (AI) in Healthcare Course

    Artificial Intelligence in Healthcare Course Skills Covered

    • skillLeveraging Generative AI
    • skillData Analysis
    • skillData Preprocessing
    • skillData Visualization
    • skillModel Evaluation
    • skillPerformance Metrics

    Artificial Intelligence in Healthcare Tools Covered

    •  tools
    •  tools
    •  tools
    •  tools
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    AI in Healthcare Course Curriculum

    Curriculum Designed by Experts

    AdobeIconDOWNLOAD CURRICULUM

    Leveraging Generative AI in Healthcare

    10 Topics

    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

    skillHands-on

    • Implementing Generative AI Use Cases

    skillSkills

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

    Deep Learning

    17 Topics

    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

    skillHands-on

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

    skillSkills

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

    Predictive Model for Healthcare Diagnosis

    24 Topics

    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

    skillHands-on

    • Building a predictive model to assist in diagnosing health

    skillSkills

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

    Predicting Diabetes with Multilayer Perceptron

    13 Topics

    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

    skillHands-on

    • Building a Multilayer Perceptron Model for Diabetes Prediction

    skillSkills

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

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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.

            Artificial Intelligence in Healthcare Course Projects

             certification projects

            Building a Predictive Model to assist in Diagnosing Health

            In healthcare, timely and accurate diagnosis plays a crucial role in patient care and treatment planning. However, because medical data is complex and human error can occur, diag....
             certification projects

            Building a Multilayer Perceptron Model for Diabetes Prediction

            Diabetes is a chronic health condition characterized by high blood sugar levels, which can lead to serious complications if not managed effectively. Improving patient outcomes an....

            AI in Healthcare Certification

            To unlock the Edureka’s Artificial Intelligence in Healthcare course completion certificate, you must ensure the following:

            • Completely participate in this Artificial Intelligence in Healthcare Course.
            • Evaluation and completion of the quizzes and projects listed.
            Upon successful completion of this course, you will be awarded a course completion certificate that holds lifetime validity, serving as a testament to your knowledge and skills in AI in Healthcare. 

            An Artificial Intelligence in Healthcare certification offers professionals a comprehensive pathway to enhance their expertise in leveraging AI technologies for healthcare applications. Through the completion of a certification program, individuals can enhance their professional skills in machine learning algorithms, data analysis, and healthcare informatics. This can lead to career advancement in roles such as clinical informatician, data scientist, AI researcher, or healthcare AI engineer. A certification shows a person's commitment to staying up to date with the latest developments and best practices in healthcare AI, as well as validating their knowledge and proficiency.Gaining this certification increases your marketability and credibility, opening doors for career advancement in AI-related roles across the healthcare industry.

            After completing the AI in Healthcare Certification, you will qualify for various job opportunities in the artificial intelligence field. These positions encompass roles such as:

            • 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
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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!

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