AI Course Structure
1. Introduction to Artificial Intelligence
2. Definition and scope of AI
3. History and evolution of AI
4. Current trends and future prospects in India
5. Fundamentals of Machine Learning
6. Types of machine learning: supervised, unsupervised, reinforcement
7. Popular algorithms and their applications
8. Data handling and preprocessing
9. Programming for AI
10. Introduction to Python for AI
11. Libraries: NumPy, Pandas, Scikit-learn
12. Building simple AI models
13. AI in Practice
14. AI in healthcare, education, agriculture, and finance
15. Indian AI success stories
16. Hands-on projects and case studies
17. Ethics and Responsible AI
18. Bias, privacy, and security issues
19. Regulations and policies in India
20. Social impact of AI
21. Preparation for interviews and certifications
Courses
| Course | Duration |
|---|---|
| Regular Course | 2 years |
| Crash Course (I) | 5 months |
| Crash Course (II) | 11 months |