🧩 COURSE SYLLABUS (MODULE-WISE)

🔹 Module 1: Introduction to Artificial Intelligence

• What is Artificial Intelligence
• History & Evolution of AI
• Types of AI (Narrow, General, Strong – Overview)
• AI vs Machine Learning vs Deep Learning
• Applications of AI in Industry

🔹 Module 2: Programming Fundamentals with Python

• Python Basics for AI
• Variables, Data Types & Operators
• Conditional Statements & Loops
• Functions & Modules
• Working with Python IDEs & Notebooks

🔹 Module 3: Data Handling & Analysis

• Data Types & Data Sources
• Data Collection Methods
• Data Cleaning & Preprocessing
• Handling Missing & Duplicate Data
• Introduction to NumPy & Pandas

🔹 Module 4: Statistics & Mathematics for AI (Basics)

• Descriptive Statistics
• Mean, Median, Mode
• Variance & Standard Deviation
• Correlation & Data Distribution
• Importance of Math in ML (Conceptual)

🔹 Module 5: Machine Learning Fundamentals

• What is Machine Learning
• Types of ML
• Supervised Learning
• Unsupervised Learning
• Training & Testing Data
• Model Evaluation Basics
• Overfitting & Underfitting Concepts

🔹 Module 6: Machine Learning Algorithms (Foundation)

• Linear Regression
• Logistic Regression
• Decision Trees
• K-Nearest Neighbors (KNN)
• Clustering (K-Means – Basics)

🔹 Module 7: Data Visualization & Tools

• Data Visualization Concepts
• Matplotlib & Seaborn (Basics)
• Charts, Graphs & Plots
• Interpreting Analytical Results
• Reporting Insights

🔹 Module 8: Introduction to AI Applications

• AI in Healthcare
• AI in Finance & Banking
• AI in Retail & Marketing
• Chatbots & Recommendation Systems
• Ethics & Responsible AI

🔹 Module 9: Mini Projects & Practical Implementation

• Data Analysis Project
• Machine Learning Model (Basic)
• AI Use Case Study
• Project Documentation
• Presentation & Viva

🔹 Module 10: Employability & Career Skills

• AI & ML Career Paths
• Resume Preparation for AI Roles
• Interview Preparation (Foundation Level)
• Industry Tools Overview
• Roadmap to Advanced AI/ML

📝 ASSESSMENT & CERTIFICATION

• Internal Assessments & Practical Assignments: 40%
• Final Examination & Project Evaluation: 60%
• Successful learners will be awarded the
• Diploma in Artificial Intelligence & Machine Learning (Foundation Level)
• by LTPL Skill Foundation

💼 CAREER OPPORTUNITIES / JOB ROLES

• AI / ML Trainee
• Junior Data Analyst
• Machine Learning Assistant
• Data Science Intern
• Analytics Support Executive