DATA Science & AI / ML Program
AL & ML Program
This program provides foundational and advanced knowledge in artificial intelligence (AI) and machine learning (ML). Participants learn to design, develop, and deploy intelligent systems using algorithms, data analysis, and predictive modeling.
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Beginner
Updated 11/2025
Hinglish
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Course Description
- Learn foundational and advanced concepts in Artificial Intelligence (AI) and Machine Learning (ML)
- Gain hands-on experience with algorithms, predictive modeling, and data analysis
- Explore supervised and unsupervised learning techniques
- Understand neural networks, deep learning, and natural language processing (NLP)
- Develop skills to build and deploy AI-driven applications
- Apply AI & ML to solve real-world industry problems
1. Introduction to AI & ML
5 Lectures
Introduction to Artificial Intelligence & Machine Learning
AI & ML Fundamentals
Basics of Artificial Intelligence and Machine Learning
Getting Started with AI & ML
Foundations of AI and Machine Learning
2. Basics of Python for AI & ML
4 Lectures
Python Basics for AI & ML
Introduction to Python for Artificial Intelligence & Machine Learning
Python Fundamentals for AI & ML Applications
Foundations of Python for AI & ML
3. Mathematics for AI & ML
5 Lectures
Mathematics for AI & ML
Mathematical Foundations for AI & Machine Learning
Essential Mathematics for AI & ML
AI & ML: Key Mathematical Concepts
Mathematics Fundamentals for AI & ML
4. Data Preprocessing & Exploratory Data Analysis (EDA)
5 Lectures
Data Preprocessing & Exploratory Data Analysis
Preparing and Analyzing Data for AI & ML
Data Cleaning and Exploratory Analysis
EDA & Data Preprocessing Techniques
Exploratory Data Analysis and Preprocessing Fundamentals
5. Supervised Learning
5 Lectures
Introduction to Supervised Learning
Supervised Learning Fundamentals
Supervised Learning Techniques in AI & ML
Predictive Modeling with Supervised Learning
Supervised Learning Concepts and Applications
6. Unsupervised Learning
5 Lectures
Introduction to Unsupervised Learning
Unsupervised Learning Fundamentals
Clustering & Pattern Discovery in Unsupervised Learning
Unsupervised Learning Techniques in AI & ML
Exploring Data with Unsupervised Learning
7. Neural Networks & Deep Learning
5 Lectures
Introduction to Neural Networks & Deep Learning
Neural Networks and Deep Learning Fundamentals
Deep Learning Techniques with Neural Networks
Neural Networks for AI & Machine Learning
Foundations of Deep Learning and Neural Networks
8. Natural Language Processing (NLP)
5 Lectures
Introduction to Natural Language Processing (NLP)
NLP Fundamentals and Applications
Natural Language Processing Techniques
Processing and Understanding Human Language with NLP
Foundations of Natural Language Processing
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Frequently Asked Questions
This course provides comprehensive knowledge with practical examples for
beginners and professionals.
No prior experience required. We start with basics and progress to
advanced topics.
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