Advanced Certificate in AI & ML with Python Programming
Triple Certification from Our International Learning Partner NST DUBAI (UAE)
Learning Format
Live Classes
Placement Support
LMS Support
How Our
Advanced Certificate in AI & ML with Python
Programming help your career?
Program Details
Key Takeaways
Build Strong Programming & Data Foundations for AI Applications
Develop a clear understanding of Python programming, data structures, automation, and data handling techniques that support real-world software and AI-driven workflows.
Develop Intelligent Systems Thinking & Ethical AI Practices
Learn how AI solutions are built responsibly using structured problem-solving, ethical AI principles, and modern tools to create reliable, data-driven applications
Master Machine Learning & AI in Practical Environments
Gain hands-on experience with model building, data analysis, visualization, and real-world projects to understand how intelligent systems are designed and deployed.
Graduate with Job-Ready Skills for Global Tech & Healthcare Roles
Complete the program with practical exposure, recognized certifications, and the confidence to apply for roles such as AI/ML Engineer, Data Analyst, Python Developer, and Healthcare Data Analyst in India and the UAE.
Sample Certificates for
Advanced Certificate in AI & ML
with Python Programming
Tools to be Covered in the Course
Training Program Overview
| Training Phases | Course Offered By | Course | Duration |
|---|---|---|---|
Phase 1 |
Novelty Skills Training Dubai |
Training Course in Introduction and Python Programming |
15 Weeks to 20 Weeks | 60 Hours |
Phase 2 |
Win In Life Academy |
AI & ML Certification Course |
350+ Hours
06 Months |
Phase 3 |
IBM |
IBM Security Modules |
40-50 Hours(Months 5-6) |
Program Modules for Advanced Certificate in AI & ML with Python Programming
This comprehensive curriculum is designed to take you from the fundamentals of cybersecurity and risk management to advanced ethical hacking and secure systems practices. Structured across multiple phases, it delivers a progressive learning experience that combines governance, cloud security, penetration testing, and security engineering.
PHASE 1: TRAINING COURSE IN INTRODUCTION AND PYTHON PROGRAMMING
Introduction with Python
Learning Path & Outcomes
• Overview of Python and its applications
• Installing Python and setting up the environment
• Writing and running your first Python program
Python Fundamentals
Learning Path & Outcomes
• Variables, data types, and type conversion
• Input and output operations
• Comments and basic syntax rules
Data Handling in Python
Learning Path & Outcomes
• Understanding data structures
• Reading and storing user input data
• Basic data processing techniques
List Manipulation
Learning Path & Outcomes
• Creating and accessing lists
• Adding, removing, and updating elements
• List slicing and built-in list methods
String Manipulation
Learning Path & Outcomes
• String creation and indexing
• String methods and formatting
• Searching and replacing text
Tuples and Dictionaries
Learning Path & Outcomes
• Creating and accessing tuples
• Dictionary keys, values, and items
• Updating and iterating through dictionaries
Sets and Frozen sets
Learning Path & Outcomes
• Creating sets and understanding uniqueness
• Set operations: union, intersection, difference
• Introduction to immutable frozen sets
Operators in Python
Learning Path & Outcomes
• Arithmetic and comparison operators
• Logical and assignment operators
• Membership and identity operators
Program Control Flow
Learning Path & Outcomes
• Conditional statements (if, elif, else)
• Looping with for and while loops
• Break, continue, and pass statements
User – Defined Functions
Learning Path & Outcomes
• Defining and calling functions
• Function parameters and return values
• Scope and reusable code practices
Modules and Packages
Learning Path & Outcomes
• Importing and using built-in modules
• Creating custom modules
• Organizing code using packages
File Operations
Learning Path & Outcomes
• Reading and writing text files
• Working with file modes and paths
• Handling exceptions in file operations
Classes and Objections
Learning Path & Outcomes
• Reading and writing text files
• Working with file modes and paths
• Handling exceptions in file operations
Python Advanced
Exception Handling
Learning Path & Outcomes
• Understanding exceptions and error types
• Using try, except, else, and finally blocks
• Raising custom exceptions
Detailed OOP Concepts
Learning Path & Outcomes
• Inheritance, polymorphism, and encapsulation
• Method overriding and operator overloading
• Abstract classes and interfaces
Database Integration with Python
Learning Path & Outcomes
• Connecting Python with databases (SQLite/MySQL)
• Performing CRUD operations
• Executing queries and managing transactions
GUI Programming with Tkinter
Learning Path & Outcomes
• Creating windows and layout management
• Adding widgets (buttons, labels, text boxes)
• Handling events and user interactions
Turtle Programming
Learning Path & Outcomes
• Drawing shapes and patterns using Turtle
• Controlling movement and colors
• Creating simple graphics and animations
Multithreading in Python
Learning Path & Outcomes
• Understanding threads and concurrency
• Creating and managing threads
• Synchronization and thread safety
Regular Expressions
Learning Path & Outcomes
• Pattern matching and search techniques
• Using regex functions in Python
• Validating and extracting data
Networking in Python
Learning Path & Outcomes
• Basics of network communication
• Working with sockets in Python
• Building simple client-server applications
Advanced Python Concepts
Learning Path & Outcomes
• Lambda functions and list comprehensions
• Decorators and generators
• Iterators and memory-efficient coding
CGI (Common Gateway Interface)
Learning Path & Outcomes
• Understanding CGI architecture
• Handling form data using Python CGI
• Generating dynamic web content
PHASE 2: AI & ML CERTIFICATION COURSE
English Communication & Grammar
Learning Path & Outcomes
Basics of Communication
Grammar and Vocabulary
Verbal Communication Skills
Non-verbal Communication
Written Communication
Listening and Comprehension
Confidence and Public Speaking
Professional Communication Etiquette
Practical Application
Continuous Learning
Mock Interviews (Practice Assessment Test)
Learning Path & Outcomes
Personal Introduction
Technical Skills
Problem-Solving
Behavioral Insights
Industry Knowledge
Hypothetical Scenarios
Soft Skills
Corporate Etiquette
Learning Path & Outcomes
Making the Most of Meetings
Dressing Right for the Workplace
Being Respectful and Thoughtful at WorkBeing
Keeping Your Workspace Clean and Organized
Using Technology Responsibly
Dining with Manners in Professional Settings
Building Relationships Through Networking
Best Practices for Virtual Meetings and Online Communication
Managing Your Time and Meeting Deadlines
Understanding and Respecting Cultural Differences
Leaving a Job Gracefully
Aptitude
Learning Path & Outcomes
Program Modules for 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.
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
Industry Partner Programs Offered in Association with IBM
The Advanced Certificate in AI & ML with Python Programming 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 an exceptional learning journey in the Advanced Certificate in AI & ML with Python Programming course by combining industry-relevant tools, a structured curriculum, and guidance from experienced AI and technology professionals.
Applied Learning & Real-World Projects
We emphasize practical learning through hands-on coding exercises, real datasets, machine learning projects, and capstone assessments that reflect real industry use cases.
Expert Mentorship from Industry Professionals
We emphasize practical learning through hands-on coding exercises, real datasets, machine learning projects, and capstone assessments that reflect real industry use cases.
Career Advancement & Networking
As a graduate, you gain career guidance, portfolio-building support, and industry exposure that help you pursue impactful roles across AI, technology, and healthcare-driven digital sectors.
Program Fees
New Batches Starts Every 15th & 30th
₹60,000 + AED 1000
Note: 0% interest rates with no hidden cost
Programme Faculty
Success Stories
Graduate Perspectives
Win in Life’s Advanced Certificate in AI & ML with Python Programming Course Accreditations
Advanced Certificate in AI & ML with Python Programming Course training delivered by experienced faculty and industry professionals through guided labs, practical simulations, assignments, and live interactive sessions aligned with current security practices.
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.
1. Program Structure & Academic Design
How are international combo courses different from traditional single-institute programs?
This international combo programme integrates academic learning with global industry training, offering practical skills and internationally relevant expertise at the intersection of AI, data, and healthcare.
What is the structure of the program, and how are the modules divided?
The program covers Python programming, data analysis, machine learning fundamentals, and AI applications in healthcare, along with hands-on projects and real-world problem solving.
Who will be conducting the sessions — academic faculty, industry experts, or mentors?
Sessions are delivered by expert trainers, AI professionals, and industry mentors 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, and hybrid learning formats are available.
What is the total duration and weekly time commitment required?
The program runs for 12 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?
Final-year students, graduates with technical backgrounds, IT professionals, and individuals interested in AI-driven healthcare and technology careers.
Is this suitable for working professionals or career switchers?
Yes. The flexible learning format makes it suitable for working professionals and those transitioning into AI and healthcare technology roles.
Do I need prior technical knowledge to join?
Basic computer knowledge is sufficient. Python 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 AI and healthcare technology practices and includes international certification aligned with global workforce requirements.
Will I receive certification from both institutions?
Yes. Participants receive certifications from Win In Life Academy and Novelty Skills Training – Dubai.
How does this certification add value to my career profile?
It validates expertise in Python, AI, and healthcare technology applications, enhancing global employability in tech and healthcare innovation roles.
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.
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 career guidance, placement mentorship, and job readiness support.
Will there be mock interviews and resume support?
Yes. Resume development, LinkedIn optimization, and mock interview preparation are included.
What is included in the course fee?
What kind of job roles can I expect after completing the course?
Graduates can pursue roles such as:
- Healthcare Data Analyst
- AI / ML Engineer (Healthcare)
- Clinical AI Assistant
- Python Developer (AI Applications)
- Health Informatics Associate
- Healthcare Technology Specialist