IISc Certification | Interactive Live Online Programme | Technical Orientation on 28th September

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Pioneer the Technology-led Healthcare Revolution

Advanced Certificate in AI for Digital Health and Imaging

For technology and healthcare professionals creating or
aspiring to create cutting edge technology solutions.

  • Talentsprint

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Coding experience
is mandatory

  • India’s #1 University (2016-24) & Research Institute (2021-24)*
  • 10 Months
    Executive Friendly
  • 1-Day Campus visit to
    IISC Bangalore
  • 100%LIVE Interactive Classes
  • *As per NIRF Ranking

6 Reasons Why Professionals Prefer this Programme

  • IISc Advantage Get Certified by Center for Continuing Education at IISc, India’s #1 University and #1 Research Institute and access the world-class institutional knowledge in Biomedical Science and Deep Tech Research
  • Expert Faculty Learn from top Biomedical faculty with combined expertise in Computational Data Science and Biological Sciences
  • Unique Design A unique executive programme designed to help professionals at the intersection of healthcare and technology
  • 1:1 Mentoring Personal mentoring by experts to help you in your learning journey
  • Peer Networking Join the elite community of top digital health professionals, practitioners and researchers
  • TalentSprint Advantage Build your expertise 24x7 with our best-in-class pracademic platform

+91-8712686656

  • AI will create 7 lakh jobs for healthcare sector by 2030
  • The AI Healthcare market is expected to exceed $34 Billion by 2025
  • Digital Health can reduce $45 Trillion in the treatment of non-communicable diseases

Be at the epicenter of the future of health

Top Digital Health Jobs to Watch Out

  • Healthcare Data Analyst
  • Research Scientist, Health AI
  • Senior Medical Imaging Software Engineer
  • Research Scientist - Healthcare Image Analytics
  • Digital Health Consultant
  • Digital Health Developer
  • And more

About Indian Institute of Science

IISc (Indian Institute of Science) is the oldest and the finest higher education institute of its kind in India. It pursues excellence in research and education in several fields of Science and Engineering and is one of the first three publicly funded institutes to be awarded the Institute of Eminence status. The alumni of IISc hold significant academic and industry positions around the globe. For more information visit https://www.iisc.ac.in.

The Programme will be delivered by IISc’s Centre for Continuing Education (CCE). CCE delivers courses suitably designed to meet the requirements of target groups: Research & Development (R&D) Laboratories and Industries, Research Scientists/Engineers, to enable them to grow into competent managers of technology intensive and data-driven organizations. For more information visit http://cce.iisc.ac.in.

  • India’s #1 University (2016-24) & Research Institute (2021-24)
  • India's #1 University (2024)
  • 2 Bharat Ratna Awardees

AI for Digital Health and Imaging Overview

The healthcare ecosystem is rapidly shifting towards innovative care delivery models such as virtual, remote, and alternate care. The deployment of AI, advanced data analytics, Internet of Things (IoT) as well as other emerging technologies and data-driven tools, are changing the nature of healthcare solutions and delivery systems.

Companies are innovating faster to adapt to new needs: patients are being treated remotely through mobile doctor apps, symptom-checking bots are triaging patients and providing tailored advice, and new remote consultation and tracking solutions are hitting the market fast.

Indian Institute of Science (IISc), Centre for Continuing Education (CCE), with its expertise in multi-disciplinary science is best positioned to offer a programme on Digital Health and Imaging. Delivered in association with TalentSprint, this executive friendly in-depth and comprehensive programme is best suited for professionals creating cutting edge technology solutions in eHealth, Personalized Healthcare, BioTech, Medical Devices, Wearables, Digital Therapeutics and more.

Curriculum


  • Python Basics
  • Basics of Probability and Statistics
  • Basics of Linear Algebra
  • Google Co-lab & examples
  • Digital Health: Need, case studies, basics - mHealth and eHealth, Impact
  • Informatics: Health Level Seven (HL7), Integrating the Healthcare Enterprise (IHE), Vendor Neutral Archives (VNAs), Open source/data/innovation - opportunities
  • Ayushman Bharat Digital Mission
  • IT infrastructure (IoT/Cloud computing)
  • Basics of Digital Data
  • Data in Healthcare
  • Signal Processing: Sampling, STFT, Wavelets [Pre-requisite Signals and Systems]
  • Physiology: ECG Signal Acquisition, EEG Signal Acquisition, EEG and ECG data processing
  • Wearable Sensors for health monitoring: Wearable ECG & EEG based on dry electrodes
  • Wearable Sensors for health monitoring: Accelerometers (data acquisition and interpretation), glucose sensing (acquisition methods and comparison)
  • Introduction to ML, What is Data and Model? Machine Learning Workflow and Applications
  • Basics of supervised learning, Mathematical Formulation, Linear Regression, Regularization and Logistic Regression, and Kernel methods
  • Maximum Likelihood and Maximum Appropriate estimates, Demo naive bayes classifier
  • Hyperplance based classifiers, Model Selection, Making ML algorithms Work
  • Need for Deep Learning in Healthcare
  • Introduction to Deep Learning: From Perceptron to Feed Forward Neural Networks
  • Training Neural Networks: Back propagation Algorithm
  • Convolutional Neural Networks and LSTMs
  • Introduction to Natural Language Processing and Knowledge Graphs
  • Introduction to Generative AI
  • Medical Image Formation, Medical Image Informatics, Medical Imaging Tasks
  • Neuroimaging: Introduction, Pre-processing of Medical Images, Workflows in Radiology
  • Insights of DL in Medical Imaging, Medical Image Reconstruction, Examples
  • Vision - Deep learning: Loss function, Optimization, CNNs and LSTMs, Training Convolutional Neural Networks, Object Detection, Segmentation
  • Deep Learning models: AlexNet, VGG, GoogleNet, ResNet, RNN/LSTM
  • Evaluation methodology for AI algorithms in Medical Image Analysis, Generative models, and Inverse problems
  • Edge AI: Light-Weight CNNs and Point-of-Care Diagnosis
  • Download Brochure

    What should you expect from this Programme?

    • LearnLearn from Leading IISc Faculty
    • ReinforceReinforce Learning by Applying Concepts
    • NetworkNetwork with Current and Future Data Science Practitioners
    • CertificateExecutive Programme Certificate by Center for Continuing Education at IISC

    Learn from Leaders

    IISc faculty members are an impressive group bearing academic accreditation from premier institutions around the world

    Prof. Ambedkar Dukkipati

    Ph.D., Indian Institute of Science, India
    Programme Director


    Professor at Department of Computer Science and Automation, an IIT Madras and IISc alumni.

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    Prof. Phaneendra Yalavarthy

    Ph.D., Engineering Sciences, Dartmouth College, USA
    Programme Director


    A Professor at the Department of Computational and Data Sciences, IISc.

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    Prof. Yogesh Simmhan

    Ph.D. Computer Science, Indiana University, USA
    Programme Faculty


    An Associate Professor at the Department of Computational and Data Sciences, IISc.

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    Prof.Jaya Prakash

    Ph.D. Medical Imaging, Indian Institute of Science, India
    Programme Faculty


    Assistant Professor at the Department of Instrumentation and Applied Physics, IISc.

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    Prof. Venkatesh Babu R

    PhD. Electrical Engineering, Indian Institute of Science, India
    Programme Faculty


    A Professor in Computational and Data Sciences, IISc.

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    Participant Profile

    From Diverse Job Roles

    Technical Specialist
    Senior Principal Infrastructure Engineer
    Quality Reviewer in Pharmacovigilance
    Senior Data Scientist
    Senior Medical Officer
    Associate Professor
    General Dentist
    Plastic Surgeon

    From Top Organizations

    Wipro
    Siemens
    GE Healthcare
    Samsung
    Strides
    Novartis
    Iqvia
    IBM
    EY
    The World Wide Pharma
    TCS
    Titan
    VMware
    Piramal Swasthya
    Dr. Reddy's Laboratories
    Boston Scientific
    Fidelity Business Services
    Siemens Helathineers
    Sir H N Reliance Foundation Hospital
    Manipal Hospitals
    Capgemini
    Allscripts Healthcare
    Sony Software
    IBM
    IQVIA

    From Indian and Global Locations

    Bangalore
    Delhi
    Kolkata
    Mumbai
    Hyderabad
    Chennai
    Ahmedabad
    Mysore
    Patna
    Abu Dhabi
    Doha
    Africa

    Find out why professionals want to join the programme

    • "As a Sr. Clinical Project Manager at a Healthcare firm, this programme will help me in improving my skills around digital technologies and help me get ready for the future."

      Hemant Kumar,Pharamaceuticals

    • "I aspire to become a product manager or lead a healthcare informatics division of a company. I believe my professional experience, combined with expertise built during the programme, will prepare me for a senior role in the organization."

      Deepak Kumar,Manufacturing

    • "My acumen of AI, ML and IoT, combined with expertise in Imaging technology, will help me earn a spot in my dream company. And pursuing this programme from a reputed institute like IISc will help me achieve this goal."

      Milind T,Software & IT

    • "My company will soon foray into numerous dimensions of Healthcare, including Provider/Payer Analytics etc. The capabilities built here will help me contribute to the upcoming project in my organization."

      Prashanth Chandra Shekhar,BFSI

    • "My current work revolves around Medical Imaging. Through this programme, I am looking forward to building a sound knowledge of Digital Health technologies to further deploy the same in our upcoming R&D Projects of Medical Imaging."

      Madhuri S Chakragiri,Healthcare

    • "With over 3 decades of professional experience in Healthcare industry, I am keen to understand how the Digital Health technologies can revolutionize healthcare delivery mainly in providing quality healthcare in rural areas."

      Suhas Gangurde,NGO

    Note: These are edited versions based on the details submitted by various programme applicants.

    Format

    • 10 Months Executive Programme

      Advanced Certificate in AI for Digital Health and Imaging

    • 4 Months Executive Programme

      Certification in Digital Health

    • Faculty-led Interactive Live Classes
    • One campus visit
    • Classes only on Sundays (10 AM to 1:30 PM & 2:30 PM to 4:30 PM)

    Eligibility

    • Minimum Qualification: Bachelors (four years or equivalent) or Masters in Science / Engineering / Medicine / Pharmacy / Management
    • Work Experience: Relevant experience of 1 year
    • Coding : Coding experience required.

    Enrolment Process

      Apply for Programme

      Submit Details

      Await Selection

      Join Programme

      Selection for the Programme will be done by IISc and is strictly based on education, work experience and motivation of the participants.

    Class Start - September 2024

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    What is My Investment?

    Application Fee
    ₹2,000

    Programme Fee : ₹2,50,000
    With Scholarship : ₹1,87,500

    Programme Fee : ₹1,25,000
    With Scholarship : ₹1,00,000

    Check my eligibility for the scholarship (GST at 18% extra as applicable)

    Special Pricing for Corporates

    Fees paid are non-refundable and non-transferable.

    Modes of payment available

    • Internet Banking
    • Credit/Debit Card
    • UPI Payments

    Easy Financing Options

    12 Month 0% Interest Scheme / Interest-Based Schemes

    Financing as low as

    • 10 Months Programme ₹6,300 /Month
    • 4 Months Programme ₹3,400 /Month

    EMI Options

    Loan Partners

    Programme Media Coverage

    Frequently Asked Questions

    • Digitization is impacting the medical industry like never before. AI and Machine Learning are taking this field to a new level.
    • Medical professionals and caregivers are being encouraged to utilize datasets to extract clinically relevant information for patient diagnosis, drug development, precision treatment and more. Accordingly Data Science has created profound uses in Healthcare, which early adopters can capitalize in the future.

    IISc is India’s premier institution for advanced scientific and technological research and education. It is one of the first three publicly funded institutes to be awarded the Institute of Eminence status.

    The institution’s reputation and pre-eminence consistently feature it in global university rankings. The institution has been home to distinguished alumni who have had noteworthy academic and industry positions around the globe.

    IISc has been consistently recognised as India’s #1 University and #1 Research Institute by the National Institutional Ranking Framework (NIRF) 2024 Ranking. For More information, visit: https://www.nirfindia.org/2023/Ranking.html

    TalentSprint, an National Stock Exchange (NSE) Group Company, brings high-end and deep-tech education to aspiring and experienced professionals in partnership with top academic institutions and global corporations. Its patent-pending, AI-powered, digital learning platform enables a perfect blend of high-end academics and industry-leading practitioner experience. Given its in-depth understanding of the deep technologies, access to industry experts, and a state of art technology platform, IISc has chosen TalentSprint as its partner for executive education programmes in disruptive and emerging technologies. For more information, visit www.talentsprint.com.

    For medical professionals, the programme enables

    • Enhance your commitment to patient care with precision medicine, personalized treatment and informed care to significantly reduce the death rate and predictable medical outcomes.
    • To collect, structure and process a high volume of data and further make sense of it in gaining a deeper understanding of the human body.
    • Improve diagnostic accuracy and efficiency.

    Biotech professionals,

    • Reduce human suffering and disease by sifting through large, complex data sets and understanding the interconnectivity of genetic codes and diseases.
    • Can help generate a unique health and wellness profile based on both genomic and lifestyle data. For instance, if this is tied to a health and wellness app - the user can be alerted on foods or activities that increase their risk of a particular disease, thereby taking precautions at an early stage of detection.
    • Can help create new combinations of pharmaceutical compounds, perform predictive diagnosis, or even create genetically modified seeds.

    Pharma professionals

    • Cure diseases by accelerating drug discovery and development process.
    • Optimize and improve the efficacy of clinical trials.
    • Helps spot trends and patterns in data (diseases, how patients respond to treatment of the same) and allows in formulating more targeted medications for patients that share common features

    Other benefits

    • Build Electronic Health Records (EHRs) where patients have their own digital records that include demographics, medical history, allergies, laboratory test results etc.
    • Enhance patient engagement: Build smart devices that record every step patient takes, their heart rates, sleeping habits, etc., on a permanent basis. All this vital information can be coupled with other trackable data to identify potential health risks lurking.

    Digital Health and Imaging solutions are the biggest beneficiaries of Data Science, AI and Machine Learning. From saving lives to cutting down costs, data science has a huge role to play in the healthcare system. Take a look at some of the important use cases in healthcare.

    • 1. Improve Diagnostic Accuracy:
      According to the recent research by the National Academies of Sciences, Engineering, and Medicine, about 5 percent of adult patients are misdiagnosed each year in the US continent that causes approximately 10 percent of patient deaths. Targeting this problem, a deep learning startup, Enlitic, built a deep learning algorithm that reads imaging data (such as x-rays, CT scans, etc.), and analyzes it, checks the given results against an extensive database of clinical reports and laboratory studies. This way the company could deliver up to 70 percent more accurate results, 50,000 times faster.
    • 2. Advanced pharmaceutical research to find cure for cancer
      Being one of the most common and most deadly diseases, cancer has been a regular subject of scientific research. A Boston healthcare startup, BERG Health, reshapes the cancer medication market through extensive use of data science. Using powerful machine learning algorithms the company extracts and analyzes biological samples from over 1,000 patients in one go. The company has developed BPM 31510, the drug, that detects and triggers the natural death of cells damaged by the disease. Thus, the cancer cells can be removed from the human body naturally, without extensive medication and further damage to the patient’s health. While the drug is still being carefully tested, it gives us a clear understanding of the transformation potential that Data Science and deep technologies can provide to the pharmaceutical industry.
    • 3. Taking the risk out of prescription medicine
      MedAware, aims to eliminate prescription errors. The company claims that it has tools to help hospitals save up to $5.6 million, not to mention the reduced risk of lethal outcomes. A self-learning software system, provided by MedAware, checks all prescriptions against similar cases in the database and informs the doctor when the prescription contains any deviations from the typical treatment plan.
    • 4. Disease Prevention
      Omada Health is a digital therapeutics company that uses smart devices to create personalized behavior plans and online coaching to help prevent chronic health conditions, such as diabetes, hypertension, and high cholesterol.

    And there are many such organizations who have opened up new opportunities using Data Science and Deep Learning for better healthcare.

    Healthcare organizations are looking for professionals with Data Science and Deep Learning capabilities. With Data science and AI capabilities one could look into new career opportunities such as:

    • 1. Healthcare Data Analyst
    • 2. Advanced Analytics and Insights Strategist
    • 3. Research Scientist, Health AI
    • 4. Health Program Analyst
    • 5. Associate Scientist, Drug Product Development
    • 6. Senior Medical Imaging Software Engineer

    Apart from new opportunities, this programme will help you take data driven decisions in current healthcare roles.

    About TalentSprint