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Part B Subject Specific Skills
Unit-1 Introduction: Artificial Intelligence for Everyone 111
Introduction to Artificial Intelligence Why Artificial Intelligence?
What is NOT AI? History of Artificial Intelligence
Types of Artificial Intelligence Domains of AI
Data Science Natural Language Processing
Computer Vision Cognitive Computing (Perception, Learning, and Reasoning)
AI Terminologies Deep Learning
Machine Learning Types of Machine Learning
Benefits of AI Limitations of AI
AI Ready-1 140
Unit-2 Unlocking Your Future in AI 141
The Global Demand Common Job Roles in AI
Essential Skills for Prospective Careers in AI Traits Required for an AI Professional
Opportunities in AI Across Various Industries Additional Learning Resources
AI Ready-2 162
Unit-3 Python Programming 163
Features of Python Downloading and Installing Python
Variety of Python Editors Jupyter Notebook
Modes in Python Input and Output
Comments in Python Character Set
Tokens Variables
Data Types in Python Operations on List
Operations on Tuple Operations on Dictionary
Control Statements CSV Files
Understanding Libraries Introduction to NumPy
Introduction to Pandas Introduction to Scikit-learn
IBM Skill Build: Python for Data Science
AI Ready-3 248
Unit-4 Introduction to Capstone Project 249
Design Thinking Right Questioning
Identifying the Problem to Solve Ideate
Empathy Map Sustainable Development Goals
Understanding the Capstone Project Sample Capstone Projects
AI Ready-4 275
Unit-5 Data Literacy–Data Collection to Data Analysis 276
Data Literacy Data Collection
Exploring Data Statistical Analysis of Data
Calculating Measure of Central Tendency using Python Variance and Standard Deviation
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