In this comprehensive piece, I delve into the fascinating world of vegetation indices and demonstrate how I skillfully calculated them using the powerful programming language, Python. primarily i used multispectral bands for indices calculation then after that i applied ML in RGB images for classification and i also used DL models for the further process . Additionally, I share my expertise in crafting GIS course content that is sure to captivate learners. Furthermore, I take pride in detailing my proficiency in LiDAR data processing using Python alongside other cutting-edge processing software. I have had the opportunity to develop training content for a variety of purposes, including drone and GIS training courses that we provided to SIS. Additionally, I took responsibility for writing the TPM for DGCA remote pilot courses, which I highlighted in this presentation. By having a hand in both content development and course management, I ensure a comprehensive and well-rounded approach to training.