1. Environment Setup in Linux/ Windows 2. Introduction about Python 3. Discussion about Machine Learning Libraries 4. Machine Learning Algorithms(supervised Learninig, unsupervised Learning) 5. Data Collection for various applications 6. Algorithm Application on Data collected 7. Machine Learning Simulation 7. How to create Product using Ai, ML, DL.