AI Course – 2 to 3 Months

Course Syllabus

1. Introduction to Artificial Intelligence

• What is Artificial Intelligence?
• History and Evolution of AI
• Types of AI
• Applications of AI in Daily Life and Business
• Future Scope of AI

2. AI Tools & Productivity

• Introduction to Popular AI Tools
• AI for Education and Office Work
• AI for Content Creation
• AI for Business and Marketing
• AI-Powered Productivity Tools

3. ChatGPT & Generative AI

• Introduction to ChatGPT
• Generative AI Fundamentals
• Effective ChatGPT Usage
• Prompt Engineering Basics
• Creating Text, Ideas and Content with AI
• AI for Research and Productivity

4. Python Basics for AI

• Introduction to Python
• Variables and Data Types
• Operators and Conditions
• Loops and Functions
• Basic Data Handling
• Introduction to AI Libraries

5. Machine Learning Fundamentals

• What is Machine Learning?
• Supervised and Unsupervised Learning
• Training and Testing Data
• Basic Machine Learning Concepts
• Real-World Applications

6. Data Analysis & Visualization

• Introduction to Data
• Data Collection and Cleaning
• Basic Data Analysis
• Charts and Graphs
• Data Visualization
• Introduction to Python Data Libraries

7. Deep Learning & Neural Networks

• Introduction to Deep Learning
• Neural Network Fundamentals
• AI Model Concepts
• Practical Applications of Deep Learning

8. Natural Language Processing (NLP)

• Introduction to NLP
• Text Processing
• Chatbots and Language Models
• Real-World NLP Applications

9. AI Projects & Real-World Applications

• Practical AI Projects
• AI-Based Content Creation
• Business Applications of AI
• AI for Marketing and Productivity
• Mini Project / Case Study

10. AI Ethics & Career Opportunities

• Responsible Use of AI
• AI Ethics and Limitations
• Future of Artificial Intelligence
• Career Opportunities in AI
• Freelancing and Business Applications