Applied Artificial Intelligence & Data Science (Online Certificate Program on)
A comprehensive, hands-on program to build real-world AI and data science solutions using modern tools and techniques.
06–28 June 2026 | Every Saturday–Sunday
India (IST): 7:00 PM | 🇦🇪 Dubai (UAE): 5:30 PM | 🇸🇦 Saudi Arabia: 4:30 PM | 🇬🇧 London (UK): 2:30 PM | 🇺🇸 New York (USA): 9:30 AM | 🇸🇬 Singapore: 9:30 PM
About the Course
This 4-week online certificate program is designed to provide a strong foundation in Artificial Intelligence and Data Science. It covers everything from Python programming to advanced machine learning and deep learning techniques. Participants will work on real-world datasets, build end-to-end AI projects, and gain industry-relevant experience for career growth.
What You Will Learn
Python programming for data science
Data preprocessing and visualization
Machine learning algorithms (classification & regression)
Model evaluation and performance metrics
Deep learning fundamentals (CNN, neural networks)
AI applications in healthcare and cybersecurity
Model tuning and deployment basics
Real-world project development
Course Features
Live and interactive sessions
Lecture recordings and study materials
Hands-on assignments and case studies
Industry-level mini project
ISO–IAF recognized certificate
Learning Outcomes
Perform data preprocessing and exploratory data analysis
Develop machine learning models for prediction and classification
Implement deep learning models using TensorFlow/ Keras
Work with real-world datasets effectively
Build and present AI-based projects
Strengthen portfolio for placements and career growth
Who Can Join
UG & PG Students (CSE, IT, ECE, Biomedical, Life Sciences)
Research scholars
Early-career professionals
Faculty interested in AI applications
Course Fee
Indian Participants: Rs 4000
International Participants: $100 USD
Course Module
Week 1: Foundations & Python for Data Science
Python refresher for AI
NumPy, Pandas, Matplotlib
Data preprocessing & visualization
Mini assignment
Week 2: Machine Learning for Real Applications
Supervised & Unsupervised learning
Classification & regression models
Model evaluation metrics
Case study: Healthcare / Fraud detection
Week 3: Deep Learning & AI Applications
Introduction to neural networks
CNN basics (image applications)
AI in healthcare & cyber forensics
Hands-on implementation using TensorFlow
Week 4: Industry Project & Deployment Basics
End-to-end AI project development
Model tuning & validation
Introduction to model deployment
Final project presentation & evaluation
Tools & Software Covered
Python (Anaconda / Google Colab)
TensorFlow / Keras
Scikit-learn
Jupyter Notebook
Open-source datasets