Online Training - AI / Health Data Science / Data Analytics / Health Informatics Training with Project Experience Certification & Placement Assistance
BioMed Informatics Medwin Hospitals, Hyderabad, India is a leading Organization offering best AI Training in Hyderabad / best Health Data Science Training in Hyderabad / best Data Analytics Training in Hyderabad / best Health Informatics Training in Hyderabad since the year of 2000. Online AI Training in Hyderabad, India / Online Health Data Science Training in Hyderabad, India / Online Data Analytics Training in Hyderabad, India / Online Health Informatics Training in Hyderabad, India includes best AI Training online institute / best Health Data Science Training online institute / best Data Analytics Training online Institute / best Health Informatics Training online Institute that imparts knowledge about insights. AI certificate course / Health Data Science certificate course / Data Analytics certificate course / Health Informatics certificate course is valuable for professionals to scale up their career. Training in Online AI / Training in Online Health Data Science / Training in Online Data Analytics / Training in Online Health Informatics very much helpful for the professionals planning to switch over their jobs or even for fresh jobs too. With rapid growth in AI / Health Data Science / Data Analytics / Health Informatics, the demand for trained Professionals has been increased tremendously.
Top Universities offering MS in AI / Health Data Science / Data Analytics / Health Informatics in USA & Best Universities offering MS in AI / Health Data Science / Data Analytics / Health Informatics in UK listed below just for information. For the students who are planning for Masters in AI / Health Data Science / Data Analytics / Health Informatics in US or Masters in AI / Health Data Science / Data Analytics / Health Informatics in UK or students who are studying Masters in AI / Health Data Science / Data Analytics / Health Informatics in United States of America or Masters in AI / Health Data Science / Data Analytics / Health Informatics in United Kingdom, this training program will be feather in cap in shortlisting possibility either for Admissions or for Jobs as you will be acquiring skills ahead of others.
Online Training Features
- One faculty/student
- Flexible timings/
- Regular/Fast track/Weekend individual slot
- Placement support
Certification
Course Certificate & Job Experience Certificate would be awarded at the end of the program.
Course Curriculum
- Introduction to AI
- Statistics Essentials
- Python, Numpy, Pandas, Matplotlib
- TensorFlow, Keras, Pytorch
- Artificial Neural Networks (ANN)
- Convolutional Neural Networks (CNN)
- Natural Language Processing (NLP)
- Computer Vision, Deep Q-Learning
- Generative Adversarial Network (GANs)
- Python for Data Science
- Data Science with Python
- Machine Learning
- Artificial Intelligence
- Deep Learning with TensorFlow and Keras
- Advanced Deep Learning and Computer Vision
- Natural Language Processing and Speech Recognition
- Reinforcement Learning
AI and Machine Learning Capstone Project
- Building AI models
- Developing models using DEEP LEARNING (Neural networks and ANNs)
BUILDING MODELS / PROJECTS
Chatbot
Chatbot is to engage with the customers in order to boost their business growth by using NLP and Speech Recognition. The chatbot is very helpful for its 24/7 presence and ability to reply instantly.
Health Informatics/Cardiovascular diseases
Cardiovascular diseases are the leading cause of death globally. It is therefore necessary to identify the causes, developing a system to predict heart attacks in an effective manner.
Lending Loan Data Analysis
For some companies correctly predicting whether or not a loan will be a default and it is very important. Using historical data, developing a deep learning model to predict the chance of default for future loans.
Health Informatics/Detection of Lung Infection
Developing a model using a convolutional neural network that can classify lung infection in a person using medical imagery.
Emotion Recognition
Future customizations, such as understanding human emotions, could lead to a range of advancementssuch as determining whether a person likes a specific statement, item or product, food, or how they are feeling in a particular circumstance, and so on. Building a model using a convolutional neural network that can classify a person's emotion
Health Informatics/Detecting Diabetic Retinopathy
Developing a CNN model using distributed training that can detect diabetic retinopathy and deploy it using TensorFlow Serving.
Facial Recognition
Using a deep convolutional neural network (CNN) to perform facial recognition using Keras.
Stock Price Prediction Using DEEP-Q Learning
Preparing an agent by implementing Deep Q-Learning that can perform unsupervised trading in stock trade. The aim of this project is to train an agent that uses Q-learning and neural networks to predict the profit or loss by building a model and implementing it on a dataset that is available for evaluation.
MS in AI / Health Data Science / Data Analytics / Health Informatics in US: Top Universities
- Massachusetts Institute of Technology
- Carnegie Mellon University
- University of California, Berkeley
- Georgia Institute of Technology
- University of Texas at Dallas
- Indiana University, Bloomington
- University of Texas at Austin
- University of Michigan
- University of Delaware
- University of Pennsylvania
- Harvard University in Cambridge, MA
- Stanford University in Stanford, CA
- Columbia University in New York, NY
- University of Washington in Seattle, WA
- Arizona State University in Tempe, AZ
- University of Georgia in Athens, GA
- Oregon State University in Corvallis, OR
- University of California, San Diego in La Jolla, CA
- University of Illinois, Urbana Champaign in Champaign, IL
- University of Minnesota in Minneapolis, MN
- North Carolina State University in Raleigh, NC
- University of Wisconsin-Milwaukee in Milwaukee, WI
- University of California, Irvine in Irvine, CA
- University of Maryland, College Park in College Park, MD
- California Institute of Technology in Pasadena, CA
- University of California, Los Angeles in Los Angeles, CA
- The Ohio State University in Columbus, OH
- Texas A&M University in College Station, TX
- Brigham Young University in Provo, UT
- Yale University in New Haven, CT
- New Mexico State University in Las Cruces, NM
- University of Advancing Technology in Tempe, AZ
- University of Illinois at Chicago in Chicago, IL
- University of Wisconsin-Madison in Madison, WI
- University of California, Davis in Davis, CA
- Missouri University of Science and Technology in Rolla, MO
- Bellevue College in Bellevue, WA
- University of West Florida in Pensacola, FL
- Purdue University in West Lafayette, IN
- University of Utah in Salt Lake City, UT
MS in AI / Health Data Science / Data Analytics / Health Informatics in UK: Top Universities
- University of Oxford
- University of Cambridge
- University College London
- University of Edinburg
- Imperial College London
- University of Manchester
- University of Sheffield
- University of Surrey
- University of Bristol
- Queen Mary University of London
- University of Nottingham
- University of Southampton
- University of Birmingham
- University of York
- University of Sussex
- King's College London
- University of Essex
- University of Warwick
- University of Leeds
- University of Glasgow
- University of Liverpool
- Aston University
- University of Aberdeen
- Cardiff University
- Lancaster University
- Ulster University
- University of Reading
- Newcastle University
- Heriot-Watt University
- Brunel University London
- University of Kent
- Loughborough University
- University of London
- Durham University
- University of Hertfordshire
- University of St Andrews
- Queen's University Belfast
- University of Strathclyde
- University of Exeter
- Aberystwyth University
Global AI/Health Data Science/Data Analytics/Health Informatics Regulations
The application of Artificial Intelligence (AI), Data Science, Data Analytics, and Health Informatics in healthcare is subject to a growing body of regulations and guidelines designed to ensure safety, accuracy, privacy, and ethical use of data. Below is an overview of global regulations governing these fields:
Oceania
Australia
- Regulatory Body: Therapeutic Goods Administration (TGA)
- Key Regulations:
- AI-based tools.
- Data Privacy: Covered under the Privacy Act 1988 and the
- Australian Digital Health Agency (ADHA) guidelines.
New Zealand
- Regulatory Body: MEDSAFE
- Key Regulations:
- Encourages adherence to ISO standards for AI in healthcare.
- Data protection governed by the Privacy Act 2020.
North America
United States
- Regulatory Bodies: Food and Drug Administration (FDA), Office for Civil Rights (OCR)
- Key Regulations:
- FDA's AI/ML-based Software framework.
- Health Data Privacy: Governed under HIPAA
- (Health Insurance Portability and Accountability Act).
- Interoperability: 21st Century Cures Act mandates the use of standards like FHIR
- (Fast Healthcare Interoperability Resources).
Canada
- Regulatory Body: Health Canada
- Key Regulations:
- AI in healthcare Regulations.
- Privacy laws include the Personal Information Protection
- and Electronic Documents Act (PIPEDA).
Central/South America
Brazil
- Regulatory Body: ANVISA
- Key Regulations:
- AI and SaMD.
- Data protection is governed by the General Data Protection Law (LGPD).
Mexico
- Regulatory Body: COFEPRIS
- Key Regulations:
- Use of AI and data analytics tools in healthcare.
- Data privacy governed by the Federal Law on the Protection of Personal Data
Europe
European Union
- Regulatory Body: European Medicines Agency (EMA)
- European Data Protection Board (EDPB).
- Key Regulations:
- EU Artificial Intelligence Act: Governs the use of high-risk AI systems.
- General Data Protection Regulation (GDPR).
United Kingdom
- Regulatory Body: Medicines and Healthcare products Regulatory Agency (MHRA)
- Key Regulations:
- Aligns for SaMD and AI systems.
- Data privacy governed by Data Protection Act 2018.
Asia
India
- Regulatory Body: Central Drugs Standard Control Organization (CDSCO)
- Key Regulations:
- AI in healthcare Rules 2017.
- Data privacy governed by the Information Technology Act 2000.
China
- Regulatory Body: National Medical Products Administration (NMPA)
- Key Regulations:
- AI in healthcare regulated.
- Data protection governed by the Personal Information Protection Law (PIPL).
Japan
- Regulatory Body: Pharmaceuticals and Medical Devices Agency (PMDA)
- Key Regulations:
- AI tools are classified and regulated under the Pharmaceuticals and Medical Devices Act.
- Adopts Japan Medical AI Guidelines for ethical and safe AI use.
Middle East
Saudi Arabia
- Regulatory Body: Saudi Food and Drug Authority (SFDA)
- Key Regulations:
- AI in healthcare falls under SaMD regulations.
- Data privacy governed by the Personal Data Protection Law (PDPL).
United Arab Emirates
- Regulatory Body: Ministry of Health and Prevention (MOHAP)
- Key Regulations:
- AI solutions regulated.
- Data privacy governed by the UAE Personal Data Protection Law.
Africa
South Africa
- Regulatory Body: South African Health Products Regulatory Authority (SAHPRA)
- Key Regulations:
- AI solutions in healthcare regulated.
- Data privacy covered under the Protection of Personal Information Act (POPIA).
Nigeria
- Regulatory Body: National Agency for Food and Drug Administration and Control
- (NAFDAC)
- Key Regulations:
- AI tools must meet international standards.
- Data protection under the Nigeria Data Protection Regulation (NDPR).
Global AI/Health Data Science/Data Analytics/Health Informatics Salaries
Salaries in AI/Health Data Science/Data Analytics/Health Informatics vary widely depending on location, role, and level of expertise. These fields are in high demand globally due to the growing need for data-driven insights in healthcare.
North America
USA
- Entry-level: $70,000-$100,000/year
- Mid-level: $110,000-$150,000/year
- Senior-level: $160,000-$250,000/year
Canada
- Entry-level: CAD 65,000-CAD 90,000/year
- Mid-level: CAD 100,000-CAD 130,000/year
- Senior-level: CAD 140,000-CAD 200,000/year
Europe
United Kingdom
- Entry-level: £30,000-£45,000/year
- Mid-level: £50,000-£80,000/year
- Senior-level: £90,000-£150,000/year
Germany/Netherlands/France
- Entry-level: £40,000-£60,000/year
- Mid-level: £65,000-£90,000/year
- Senior-level: £100,000-£160,000/year
Asia-Pacific
India
- Entry-level: ₹6,00,000-₹12,00,000/year
- Mid-level: ₹13,00,000-₹20,00,000/year
- Senior-level: ₹25,00,000-₹50,00,000/year
Japan
- Entry-level: ¥5,000,000-¥8,000,000/year
- Mid-level: ¥9,000,000-¥12,000,000/year
- Senior-level: ¥13,000,000-¥20,000,000/year
Australia
- Entry-level: AUD 80,000-AUD 100,000/year
- Mid-level: AUD 110,000-AUD 150,000/year
- Senior-level: AUD 160,000-AUD 250,000/year
Middle East
UAE
- Entry-level: AED 150,000-AED 220,000/year
- Mid-level: AED 230,000-AED 350,000/year
- Senior-level: AED 400,000-AED 600,000/year
Saudi Arabia
- Entry-level: SAR 120,000-SAR 180,000/year
- Mid-level: SAR 200,000-SAR 350,000/year
- Senior-level: SAR 400,000-SAR 600,000/year
Africa
South Africa
- Entry-level: ZAR 350,000-ZAR 500,000/year
- Mid-level: ZAR 550,000-ZAR 800,000/year
- Senior-level: ZAR 900,000-ZAR 1,500,000/year
Nigeria/Kenya/Ghana
- Entry-level: $15,000-$25,000/year
- Mid-level: $30,000-$50,000/year
- Senior-level: $55,000-$80,000/year