Advanced Diploma in AI&ML with Healthcare Intelligence
The Advanced Diploma in AI&ML with Healthcare Intelligence programme is an 10-months immersive course designed for freshers and working professionals seeking job-ready skills at the intersection of healthcare, AI, and data security. Win In Life Academy delivers this course in collaboration with Novelty Skills Training -Dubai (a KHDA-approved training provider) and IBM, combining healthcare cybersecurity fundamentals with AI-driven healthcare transformation. Learners gain practical exposure to protecting patient data and supporting secure, technology-enabled care environments.
The programme introduces core AI concepts and healthcare applications that enhance diagnostics, patient care, and clinical decision-making. Modules explore AI-driven patient engagement, operational efficiency, and ethical, privacy, and data governance practices essential to modern healthcare systems. On completion, learners earn a KHDA-attested certificate from Novelty Skills Training -Dubai and IBM certificates upon completing modules and guided labs, validating their skills in healthcare AI and data protection.
Triple Certification from Our International Learning Partner NST DUBAI (UAE)
Learning Format
Live Classes
Placement Support
LMS Support
How Our
Advanced Diploma in AI&ML with Healthcare Intelligence
Help in your career?
Program Details
Key Takeaways
Build Strong Foundations in Healthcare AI and Digital Health Systems
Develop a clear understanding of artificial intelligence, machine learning basics, healthcare data workflows, and digital health technologies that support modern patient care and operational efficiency.
Understand How AI Enhances Diagnosis, Care Delivery, and Patient Outcomes
Explore real-world applications such as medical imaging support, risk prediction, patient monitoring, and clinical decision support systems used to improve healthcare outcomes.
Learn Responsible AI, Data Privacy, and Ethical Healthcare Practices
Gain insights into healthcare data governance, patient privacy standards, ethical AI use, and responsible implementation aligned with regulatory and compliance expectations.
Graduate with Job-Ready Skills for Emerging Healthcare AI and Digital Transformation Roles in India and UAE
Complete the program with applied knowledge and confidence to contribute to roles in healthcare analytics support, digital health operations, AI project coordination, and health tech environments.
Sample Certificates for Advanced Diploma in AI&ML with Healthcare Intelligence Programme
Tools to be Covered in the Course
Disclaimer :
The tools, software, platforms, and datasets included in the Data Analytics Course are provided strictly for educational and training purposes. These resources are designed to help learners understand real-world data analytics concepts, workflows, and industry practices.
Tool availability, features, and access may change based on licensing agreements, vendor policies, or course updates. By enrolling in the program, you acknowledge that all tools are provided for learning and demonstration purposes only, and standard terms and conditions apply.
Training Program Overview
| Training Phases | Course Offered By | Course | Duration |
|---|---|---|---|
Phase 1 |
Novelty Skills Training Dubai |
Training Course in Inferential Statistics |
15 Weeks to 20 Weeks | 60 Hours |
Phase 2 |
Win In Life Academy |
Advanced Diploma in AI & ML |
06 Months | 350+ Hours |
Phase 3 |
IBM |
IBM Security Modules |
40-50 Hours(Months 5-6) |
Program Modules for Advanced Diploma in AI&ML with Healthcare Intelligence
This comprehensive curriculum is structured into three progressive phases that guide learners from foundational knowledge to practical healthcare AI implementation. Phase 1, delivered by Novelty Skills Training Dubai, covers AI and Digital Transformation in Healthcare, introducing digital health systems, healthcare data fundamentals, and transformation strategies. Phase 2, delivered by Win In Life Academy, advances learning through the Advanced Diploma in AI & ML, building expertise in data analysis, machine learning, and AI model development. Phase 3, delivered through IBM Security Modules, strengthens knowledge in data protection, privacy, and secure handling of healthcare information, preparing learners to implement AI responsibly in modern healthcare environments.
PHASE 1: TRAINING COURSE IN INFERENTIAL STATISTICS
Foundations of Artificial Intelligence in Healthcare
Learning Path & Outcomes
Introduction to AI and digital health systems
Healthcare data types and workflows
Role of AI in modern healthcare environments
Improving Diagnosis and Clinical Decision-Making with AI
Learning Path & Outcomes
AI in medical imaging and diagnostics
Predictive analytics for risk assessment
Clinical decision support systems
AI-Driven Patient Care and Engagement
Learning Path & Outcomes
Remote patient monitoring and smart devices
Personalized treatment and engagement tools
AI chatbots and virtual health assistants
Ethical AI, Privacy & Safety in Health
Learning Path & Outcomes
Patient data privacy and confidentiality
Ethical use of AI in healthcare decisions
Bias, transparency, and responsible AI practices
Ethical AI, Privacy & Safety in Health
Learning Path & Outcomes
Healthcare data governance and compliance principles
Secure handling of health records
Risk management in AI-enabled healthcare systems
Operational Transformation using AI
Learning Path & Outcomes
AI for hospital workflow automation
Resource planning and operational efficiency
Digital transformation in healthcare administration
Capstone Project: AI-Driven Patient Data Analysis
Learning Path & Outcomes
Working with healthcare datasets
Generating insights to improve patient care
Presenting AI-driven healthcare solutions
PHASE 2: ADVANCED DIPLOMA IN AI & ML
Introduction & Python Programming
Learning Path & Outcomes
Why is python programming emergent
Installing & Setting up Python on System.
What are variables & uses of variables
Python Revisit: Keywords, Data Types, Operators.
Decision Making
Looping
User defined function
Lambda function.
Error Handling in Python.
Python Generators.
Python Modules: Usage and Installation.
Understanding the OOP of python.
Project on Python
Statistics
Learning Path & Outcomes
What is Statistics? Why it is Important.
Measure of Central Tendency.
Measure of Dispersion.
Percentile and Quartiles.
5 Number Summary.
Gaussian/ Normal Distribution.
Empirical Rule of Normal Distribution.
Standard Normal Distribution.
Central Limit Theory.
Probability.
Permutation/ Combination.
Inferential Statistics
Learning Path & Outcomes
What is Inferential Statistics?
Null Hypothesis.
Alternative Hypothesis.
Confidence Interval.
Significance Value.
Real Industry Level program of Inferential Statistics.
Hypothesis Problem.
Z-test with Proportion Problem.
Chi-Square Test
Numpy
Learning Path & Outcomes
Python numpy Array.
Creating Accessing, Manipulating Numpy Array.
Numpy Data Types.
Array Attributes.
Data Operations.
Pandas
Learning Path & Outcomes
The Series and DataFrame.
Creating, Accessing, Manipulating Pandas Data.
Series and DataFrame Attributes & Basic Functions.
Excel Automation with OpenPyXL
Statistical Functions; String Functions.
Logical Indexing; Sorting & Reindexing.
Merging, Joining & Concatenation of Data.
Pandas File Handling.
Grouping Data.
Function Application.
Missing Data & Treatment.
Practical
Python and MySQL Integration
Learning Path & Outcomes
Installing and configuring MySQL Connector and Connecting to a MySQL database from Python
Executing SELECT, INSERT, UPDATE, DELETE queries Handling transactions.
Retrieving data from MySQL into Pandas dataframes ,performing data manipulations using Python
Code Optimization
Learning Path & Outcomes
Integrating Python, Excel, and MySQL to create a data dashboard.
Using visualization libraries (Matplotlib, Seaborn)
Connecting the application to MySQL for data storage.
Techniques for optimizing Python and SQL code
Implementing robust error handling in Python and SQL.
work on a comprehensive project integrating Python, Excel, and MySQL.
Evaluation of a Model.
Practical
Unsupervised Machine
Learning Path & Outcomes
Clustering Theory.
K-Means Clustering.
Practical
Deep Learning
Learning Path & Outcomes
Introduction of Deep Learning.
Types of Deep Learning.
How does D.L. come into Picture?
What Is ANN?
The Basic terminology- Layer, Weight, Biases, Activation function, Losses, Optimizers, Learning rate.
The concept of Forward propagation.
Backward Propagation.
ANN using TensorFlow.
Practical (Creation of ANN model for real Dataset)
INDUSTRY PARTNER PROGRAMS OFFERED IN ASSOCIATION WITH IBM
The Advanced Diploma in AI&ML with Healthcare Intelligence includes integrated programs offered in collaboration with IBM. These programs feature guided labs, all accessible through the IBM Learning Management System, and bring global best practices directly into the classroom. With IBM’s global reputation and real-world case-driven learning, students graduate with credentials that strengthen their employability and position them at the forefront of tech innovation.
IBM Course Name |
Guided Lab |
|---|---|
A Quick Introduction to Machine Learning
|
Advanced Machine & Deep Learning for SPAM classification
|
Artificial Intelligence Fundamentals
|
Advanced Machine Learning Analysis in Retail
|
AI Applications with Python and Flask
|
Build your own Unbeatable TicTacToe AI
|
Our Distinctive Approach
We deliver a transformative learning experience in our Advanced Diploma in AI&ML with Healthcare Intelligence program by combining healthcare domain insight, practical exposure to AI applications, and guidance from experienced professionals in digital health and data-driven care.
Applied Learning & Real-World Healthcare Use Cases
We emphasize practical understanding through case-based learning, guided tool demonstrations, and scenario-driven exercises that reflect how AI supports diagnostics, patient monitoring, and healthcare operations.
Expert Guidance from Healthcare & AI Practitioners
Our instructors bring real-world experience from healthcare delivery, digital health innovation, and data analytics, ensuring your learning aligns with current clinical workflows, ethical standards, and emerging technologies.
Career Growth & Industry Relevance
As a graduate of this program, you gain practical insight, industry-relevant knowledge, and exposure to healthcare technology trends that support career growth in health tech, healthcare operations, and AI-enabled care environments.
Program Fees
New Batches Starts Every 15th & 30th
COURSE FEES – ₹60,000 + AED 1000
Note: 0% interest rates with no hidden cost
Programme Faculty
Success Stories
Graduate Perspectives
Win in Life’s Advanced Diploma in AI&ML with Healthcare IntelligenceAccreditations
Comprehensive training in healthcare AI delivered by experienced faculty and industry professionals through guided learning, real-world case discussions, practical tool exposure, and interactive sessions aligned with modern digital health practices and responsible AI implementation.
Connect with our graduates
Have questions? Reach out to our alumni!
Find WILA alumni profiles and know more about their career path, specialisation and more.
Frequently Asked Questions (FAQs)
1. Program Structure & Academic Design
How are international combo courses different from traditional single-institute programs?
This international program integrates academic learning with industry-driven training and global healthcare AI practices, providing broader exposure and internationally relevant skills.
What is the structure of the program, and how are the modules divided?
The program covers Python programming, healthcare data fundamentals, machine learning, AI-assisted diagnostics, clinical decision support, and real-world healthcare analytics projects.
Who will be conducting the sessions — academic faculty, industry experts, or mentors?
Sessions are delivered by expert trainers, AI professionals, and healthcare technology specialists to ensure practical, career-ready learning.
2. Delivery Format & Schedule
What is the schedule of the international combo courses (weekdays/weekends)?
Schedules are customizable based on learner convenience, with weekday and weekend options available.
Are the sessions live, recorded, or hybrid?
Live instructor-led sessions, recorded access for revision, and hybrid learning options are available.
What is the total duration and weekly time commitment required?
The program runs for 10 months (410+ hours). Learners typically dedicate 6–8 hours per week for classes, practice, and assignments.
3. Eligibility & Suitability
Who should consider enrolling in this course?
Students, graduates, healthcare professionals, IT professionals, and early-career individuals interested in healthcare AI and data-driven healthcare innovation.
Is this suitable for working professionals or career switchers?
Yes. The flexible structure makes it suitable for working professionals and those transitioning into healthcare technology and AI roles.
Do I need prior technical knowledge to join?
Basic computer knowledge is sufficient. Programming and AI concepts are taught from foundational to advanced levels.
4. Certification & International Value
What makes this program “international,” and how is it different from regular courses?
The program follows global healthcare AI practices and includes international certification pathways aligned with healthcare technology standards.
Will I receive certification from both institutions?
Yes. Participants receive a KHDA-attested certificate from Novelty Skills Training – Dubai, an Advanced Diploma from Win In Life Academy, and IBM digital credentials.
How does this certification add value to my career profile?
It validates expertise in AI-driven healthcare analytics, clinical decision support, and intelligent healthcare systems, enhancing global employability.
5. Payment & Enrollment Process
How is the payment processed for international combo programs?
Payments can be made through secure online methods, bank transfers, or approved payment gateways.
Are installment options available?
Yes. Flexible installment options are available for learner convenience.
What is included in the course fee?
The fee includes training sessions, learning materials, lab access, project guidance, certification, mentorship, and career support services.
6. Career Support & Outcomes
Is placement mentorship included in the program?
Yes. Learners receive placement mentorship, career guidance, and job readiness support.
Will there be mock interviews and resume support?
Yes. Resume building, LinkedIn optimization, and mock interviews are included to improve hiring readiness.
What kind of job roles can I expect after completing the course?
Graduates can pursue roles such as:
- Healthcare Data Analyst
- Clinical AI Assistant
- Health Informatics Associate
- AI & ML Engineer (Healthcare)
- Medical Data Analyst
- Healthcare Technology Specialist