Artificial Intelligence and Data Science
Syllabus - AI & ML
Artificial Intelligence Fundamentals
Machine Learning with Python
Deep Learning & Neural Networks
Data Science with Python
Data Analytics using Python
Data Visualization using Power BI
Data Visualization using Tableau
Advanced Excel for Data Analysis
Generative AI Applications
Natural Language Processing (NLP)
Computer Vision using OpenCV
Download Catalog
1 . Artificial Intelligence Fundamentals (30 Hours)
Module 1: Introduction to Artificial Intelligence (4 Hours)
- What is Artificial Intelligence
- History and Evolution of AI
- AI vs Machine Learning vs Deep Learning
- Real-world applications of AI
- AI in industries (Healthcare, Finance, Retail)
Module 2: Python for AI Basics (6 Hours)
- Python introduction
- Data types and operators
- Control statements
- Functions and libraries
- Introduction to NumPy and Pandas
Module 3: Data Handling for AI (6 Hours)
- Data collection methods
- Data preprocessing
- Handling missing values
- Data normalization and scaling
Module 4: Introduction to Machine Learning Concepts (8 Hours)
- Supervised learning
- Unsupervised learning
- Classification vs Regression
- Model training and evaluation
Module 5: AI Tools and Applications (4 Hours)
- AI frameworks overview
- AI development workflow
- AI ethics and challenges
Mini Project (2 Hours)
- Simple AI prediction model