- 1. Introduction to AI : Foundational Concepts
- 1. Introduction to AI
- 2. Types of Intelligence
- 3. What is AI and What Not ?
- 1.1 Basics of AI
- 1. AI related terminologies
- 2. AI, ML & DL
- 3. Domains of AI
- 4. Applications of AI
- 5. Ethics In AI
- 2. AI Project Cycle
- 1. What is Project Cycle
- 2. Flow Chart Project Cycle
- 2. Problem Scoping
- 3. S.D.Gs
- 4. Data Acquisition
- 5. Data Exploration
- 2.2 Modelling
- 1. Intro to Modelling
- 2. AI Approaches
- 3. Machine Learning Models
- 4.Neural Networks
- 5. Final Stage - Evaluation
- 3. Advance Python
- 1. Jupyter Notebook
- 2. Virtual environment
- 3. Python and its Applications
- 3.1 Basics of Python
- 1. Python Statements and Comments
- 2. Python Keywords And Indentifiers
- 3. Variables in Python
- 4.Python Datatypes
- 5. Python Inputs
- 6. Python Operators
- 7. Python Conditional Statements
- 8. Loops In Python
- 9. Python Packages
- 4 Data Sciences
- 1. Intro To Data Science
- 2. Applications of Data Sciences