AI for HealthCare Analytics Course
- Expert trainers from ISB, IIT, and IIM
- 40 hours of interactive live sessions
- 20 hours of complementary Python programming
461 Reviews
2167 Learners
Academic Partners & International Accreditations
AI for Healthcare Professionals
Healthcare innovation starts with ideas and modern healthcare companies use Artificial Intelligence as the answer to today’s problems. It has emerged that AI plays an important role in increasing the quality of offered treatments, optimizing the process, and making it more individual. For healthcare workers and specialists, AI is not an option but a must to master as it provides knowledge and allows them to make the right decisions for improving the results and service quality.
Therefore, AI is used in areas such as drug discovery, patient diagnosis, treatment and even monitoring diseases. Artificial intelligence offers the opportunity to analyze extensive databases and forecast future tendencies of patients’ health, thus altering treatment methods. With increased expectations for transparent, convenient, and personalized interactions within the healthcare system, healthcare consumers have benefited through increased satisfaction as AI offers healthcare professionals the means to enter a new era of care delivery.
In healthcare, it is possible to harness the potential of AI and use it to gather valuable information with regard to optimizing the clinical process and choosing the right actions in real-time. The future of healthcare is in the future of artificial intelligence, and those trained in these specializations will be on the cutting edge of this world of healthcare and creating a better one.
Course Fee
AI for Healthcare Professionals Course Overview in India
The course in Artificial Intelligence for Healthcare Professionals is designed to equip healthcare workers with skills to implement and build AI for the improvement of patient care, process flow, and decision-making. With the help of Artificial Intelligence, it is becoming possible to bring drastic changes in the delivery of healthcare in order to improve the diagnostic as well as decision-making ability of a center for providing patient care services. The course also comprises the analysis of the data and application of artificial intelligence, and the application of predictive analytics and machine learning to the improvement of health care. Since Artificial Intelligence is now core to the healthcare sectors, this certification program will help you gain an edge in this fast-growing sector.
AI in healthcare helps healthcare professionals to forecast the results for some patients, to determine the best course of action, or to come up with better patient experiences. Ideally, the course is intended for healthcare workers, IT business analysts, and data scientists, who seek to use AI in healthcare. This program is designed in such a manner that in addition to assigning theoretical knowledge the learner is equipped with practical skills that enable them to approach practical issues in the operation of healthcare using artificial intelligence solutions.
What is AI for the Health Professionals?
Artificial intelligence and data analytics in healthcare is the use of machine learning in analyzing clinical and administrative healthcare data. This helps healthcare providers deliver better decisions, patient, and resource management. AI in the light of patient data can offer preventive, diagnosing, or even treatment models for possible diseases. Different devices or applications through artificial intelligence help healthcare professionals make better decisions to prevent future complications for patients. This course will help you to learn how to solve patient care, and treatment management, as well as offer operational efficiency by implementing AI solutions.
AI for Healthcare Professionals: Learning Outcomes
The course for healthcare professionals covers AI, with the intent to deliver the practical approach of the AI application in the healthcare professional’s environment. You will specialize in fields such as predictive modeling, data mining, machine learning, and data visualization which are being applied in healthcare, directly enhancing patient care, managing hospital processes, and supporting clinical decision-making.
In this program, you will understand how to operate several types of healthcare data: EHR, medical image data, and patient monitoring systems. You will also learn about how these AI models can be used to address some of the most challenging healthcare issues including disease diagnosis, patient risk assessment, and treatment management. By the end of the course, you will be able to:
This program enables healthcare professionals to be ready to adapt or even lead the change in implementing AI in healthcare hence enhancing patient experience and organizational effectiveness. With AI in process of becoming a dominant force in the provision of health care, your efforts toward the implementation of the technological opportunities will definitely impact on the improvement of the health care delivery systems.
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Who Should Sign Up?
- Healthcare Practitioners
- Clinicians and Physicians
- Healthcare Administrators
- AI for HealthCare Analytics Graduates
- Research Scholars and Post Doctorates
AI for Healthcare Analytics Course Modules
This course emphasizes the growing importance of AI for HealthCare Analytics, equipping learners with advanced skills to address real-world challenges. The module on Pharmaceutical Forecasting explores time-series algorithms like ARIMA, Prophet, and LSTM networks to predict drug demand and optimize inventory. Appointment Scheduling and Attendance Prediction focuses on building classification models using Logistic Regression, Random Forests, and XGBoost, with NLP for automating appointment reminders.
In Medical Image Classification, learners apply CNNs like ResNet and EfficientNet for tasks like embryo assessments using TensorFlow and PyTorch. Object Detection in Medical Settings includes YOLO and Faster R-CNN models for vial counting and anomaly detection, emphasizing image augmentation techniques. Generative AI for Documentation covers GPT models for automating hospital documentation using OpenAI APIs. Finally, CRISP-ML(Q) teaches a structured approach for AI/ML projects, covering business problem identification, data preparation, modeling, deployment, and quality assurance within healthcare contexts.
Understand time-series forecasting algorithms like ARIMA, Prophet, and Long Short-Term Memory (LSTM) networks to predict drug demand and optimize inventory.
- List Comprehensions
- Learn to build classification models using algorithms like Logistic Regression, Random Forests, and Gradient Boosting (XGBoost) to predict patient attendance patterns.
- Implement Natural Language Processing (NLP) for automating appointment reminders.
- Python Packages
- Apply Convolutional Neural Networks (CNNs) such as ResNet and EfficientNet for classifying medical images like embryo assessments.
- Gain hands-on experience with frameworks like TensorFlow and PyTorch.
- Use object detection models like YOLO (You Only Look Once) and Faster R-CNN for applications like vial counting and anomaly detection.
- Learn image augmentation techniques to improve model accuracy.
- Explore Generative Pre-trained Transformers (GPT) for automating hospital documentation tasks like discharge summaries, consent forms, and patient reports.
- Work with tools like OpenAI APIs and fine-tune models for healthcare-specific use cases.
- Master the CRISP-ML(Q) framework for handling AI/ML projects, focusing on:
- Business Problem Identification
- Data Understanding and Preparation
- Modeling and Evaluation
- Deployment and Quality Assurance
- Learn to apply this structured approach to healthcare challenges.
Tools Covered
The Course Trends of AI for Healthcare Professionals
The healthcare industry in India is today experiencing a revolution as it integrates new technologies such as artificial intelligence and machine learning. Present-day programs of artificial intelligence are present to enhance the quality of patient satisfaction, fasten up the pace of getting cured, and to diagnose patients more efficiently even to bring a change in the principles of curing patients rather than curing diseases. Predictive analytics, machine learning techniques, and AI tools are improving healthcare information processing and facilitating healthcare decision-making across the continuum improving patient care.
AI is also driving research in clinical information, helping better understand records, trials, and genetic data in particular. AI can be used in the identification of high-risk patient profiles and the development of appropriate treatment regimens for their stratification, and overall advancement of the patient care plan. AI is also applied in the furtherance of drug discovery, the improvement of treatment plans for patients, and the shaving of operational costs for healthcare institutions.
In addition, AI is becoming instrumental in driving value by optimizing the supply chain, inventory management, inventory control, and patient handling. AI is actively incorporated into health care and the more it advances, the higher the need for professionals to analyze it. The course AI for Healthcare Professionals provides you with the knowledge that enables you to deploy these technologies putting you and your organization on the cutting edge of this fast-growing industry.
How We Prepare You
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Additional Assignments of over 60+ hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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Lifetime LMS Access
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24/7 Support
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Job Placements in AI for HealthCare Analytics Fields
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Complimentary Courses
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Unlimited Mock Interview and Quiz Session
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Hands-on Experience in Live Projects
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Offline Hiring Events
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+91 9989994319
Certificate
Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The AI for HealthCare Analytics Certificate is your passport to an accelerated career in LSHC industry.
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FAQs of AI for HealthCare Analytics Course
40 hours. Live sessions, practical exercises, and assignments. No way you'll miss the real practical use of AI tools and techniques in healthcare.
This course is for healthcare professionals, IT analysts, and data scientists. It best suits those in need of applying AI and analytics for improving patient care and healthcare operations.
You will be taught about AI, machine learning, and predictive analytics. These skills enhance patient care, streamline healthcare operations, and improve decision-making within healthcare environments.
Yes, a healthcare background is required. While it helps, the course is designed to be accessible to those with a general interest in AI and healthcare applications.
The class provides both live sessions and practical works besides assignment work. It involves full-engaging, comprehensive learning based on understanding AI applications across healthcare.
Yes. You will receive a certificate if you complete it successfully. That certificate testifies to the fact that you are indeed competent at applying AI tools and techniques to healthcare problems.
You will acquire skills in data analysis, machine learning for healthcare, predictive modeling, and working with healthcare data. You will learn how to use AI-driven solutions in the clinical domain.
You will learn to use Python, machine learning libraries, AI platforms, and healthcare-specific software. This will enable you to analyze data and apply AI models to improve patient care and decision-making.
The course equips you with AI and analytics skills applicable to healthcare, making you eligible for roles like healthcare data analyst, AI specialist, or consultant, boosting career prospects.
Yes, the course offers practical sessions with real-world healthcare data. You’ll apply AI tools to solve healthcare challenges, enhancing your practical knowledge and skills.
The course is designed for healthcare professionals and data enthusiasts, with a focus on practical applications of AI in healthcare. You don't need advanced technical expertise to understand the content.
Yes, this course is perfect for individuals transitioning into healthcare analytics. It provides foundational knowledge in AI and healthcare, making it an ideal choice for career changers.
Instructor support is available during the live sessions. Discussion forums and learning resources are also present to ensure you get as much value from the course as possible.
To join, you can go to the page of the course. Apply to the course and get full access to the course, including the live sessions, the moment you sign up.
All recordings and resources of the course shall be accessible for you after finishing the course. It helps one view content anytime.
Jobs in the field of AI for HealthCare Analytics Course
The prevalence of many chronic diseases has contributed to the HealthCare industry. There are many domains you can explore in this field like research, microbiology, Analyst in pharma forecasting, biochemist, quality control, and many other biotech jobs.
Salaries for AI for HealthCare Analytics Professionals
The Indian AI for HealthCare Analytics has expanded over the last few decades and continues to exhibit a promising future. The national average salary for a HealthCare Analyst is Rs 11,16,13 and the average salary for a HealthCare Analyst in India is Rs 4,5,731.
AI for HealthCare Analytics Projects
This exciting new arena offers various projects wherein one can build a predictive model for the detection of cancer, build an interoperable EHR system, provide an achievable solution for managing huge and sensitive data, or build a cost prediction model.
Role of Open Source Tools in AI for HealthCare Analytics
The latest analysis tools target HealthCare, guarding sensitive information, and decision making. These tools help analyze HealthCare data like Electronic Health Record. In this program, you will explore tools like R, RStudio, Python, and juypter.
Modes of Training for AI for HealthCare Analytics Course
The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.
Industry Application of AI for HealthCare Analytics Course
The aid of analytics in the AI for HealthCare Analytics sector are exhibited in notable areas such as early detection of the disease, strategizing treatment patterns achieving excellence to drive real-world results. It is also used in operations like Research and development, Marketing and Sales, customer service, etc.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
Sunil Kumar Behera
8 months agoI've reached a major milestone in my Data Analytics internship with 360DigiTMG. With guidance from experienced mentors, they’ve really helped me get closer to reaching my goals. Embrace the valuable knowledge and skills gained and continue leveraging this opportunity to excel in the dynamic field of data analytics.
Balu Malli Reddy
8 months agoI'm Sai Manikanta, delighted to share my internship journey at 360DigiTMG. This internship has been a great opportunity for me to expand my limits and gain new skills. Diverse activities provided profound insights, shaping a promising future. Grateful for this opportunity, I eagerly anticipate forthcoming outcomes.
Manu R
1 year agoThe data analytics program was truly outstanding! The meticulously structured classes and enthusiastic instructors made learning both enjoyable and engaging. With this extensive knowledge at my disposal, I am not only confident but also eager to make significant strides in the field of data analytics.
J Vivek
10 months agoOne of the best institutes for training in Hyderabad. I am done with the Data science and Machine Learning course here. Trainers are highly educational and instructive. Invaluable experience gained through live projects, enhancing technical familiarity. Additional value provided through helpful working sessions further enriches the learning journey.
Kattamuri Mallikarjuna Rao
11 months agoThe teacher and staff are highly skilled at their jobs. They teach in a way that's easy to understand and interesting. They know a lot about the subject, so learning from them is great. The teacher plans everything well and explains hard stuff with lots of examples using Excel.
Mounika Devalamkadi
9 months agoIt was a wonderful experience for me as an intern to work in 360digitmg. This internship had made me become an expert in the field of data analytics which had greatly motivated me and Working with real-time datasets provided invaluable experience, enhancing my skills significantly.
Kanishta Pal
8 months agoIt was an awesome experience at 360Digitmg, offering the best resources and fostering excellent interaction. Working on real-life projects under expert supervision provided invaluable learning opportunities. Overall, it was a highly rewarding learning experience that contributed significantly to my growth and career advancement.
Gani Ganesh
7 months agoI found a great coaching institute in Chennai for data-related courses. I completed a successful data analytics program there. The trainers were skilled and supportive, especially Vijay, who made learning Python easy. Thanks to him and 360DigiTMG. I also learned Data Analytics with SQL, Tableau, and Excel.
Balasubramanian Siddnipalli
9 months ago360DigiTMG institute offers an exceptional learning experience, excelling in data science and machine learning. Despite lacking coding background, tutors ensured effective learning, making concepts easily understandable. Tutorial sessions covered job interview prep and case studies, with Mind maps boosting confidence. Highly recommend this Bangalore institute for data-related courses.
MD Kaif Khan
9 months agoExcited for upcoming internships, confident in my improved skills from the program. Explored new territories and gained invaluable experience. Ready to apply newfound knowledge and continue growing in future opportunities. Grateful for the journey so far, eager for what's ahead.
Rohith Reddy
8 months ago360DigiTMG institute offers one place where the course curriculum is so good and teacher training, equipping students with skills for their dream job. Grateful for the internship experience, including live projects, resume building, presentation practice, and interview preparation sessions. Enhanced confidence for future interviews. Thank you, 360DigiTMG, for the invaluable learning journey.
Janu Reddy
11 months agoThe data analytics with python course in the best coaching centre in Chennai. Finished the course well and worked on practical tasks. This helped me build my professional experience. By participating in interview preparation and project presentation sessions, I realized that I could present myself confidently to an interview.
Sai Abhilash
8 months agoDuring my internship at 360DigiTMG, I gained invaluable experience, expanding my knowledge significantly. The opportunity provided a rich learning environment, fostering personal and professional growth. Grateful for the wonderful experience and the skills acquired, which will undoubtedly shape my future endeavours.
Anji Ranjith
10 months agoGreat institute! Exceptional learning experience, especially in data science and machine learning. Tutors adeptly simplified complex concepts despite my coding limitations. Varied tutorial sessions prepared us for job interviews with insightful case studies. Mind maps boosted confidence. Highly recommend this Bangalore-based institute for data-related courses.
