The AICW Microsoft Training  for Female students from (13-04-2026 to 24-04-2026) aimed to provide practical foundations in Data Analysis, Machine Learning with Python Programming, Git/GitHub, Database Connectivity, and Web App Development. Key objectives included: Machine Learning which included both Supervised and Unsupervised ML, along with Deep Learning. Machine learning: Linear regression, Logistics Regression, Decision Tree, Random Forest and other models. Along with Data Analytics, NumPy ,Pandas, visualization tools matplotlib and seaborn. 

The students who had participated gained:

·                 A comprehensive understanding of Artificial Intelligence (AI) and Machine Learning (ML), developed foundational Python programming skills with practical exposure to NumPy and Pandas, understood the complete machine learning lifecycle from data collection and preprocessing to model development and evaluation, and acquired hands-on experience in implementing and analyzing various regression and classification techniques.

·                 The program enhanced analytical thinking, critical reasoning, and problem-solving abilities through practical exercises, case studies, and guided learning activities.

·                 Participants successfully completed full-fledged Machine Learning/Deep Learning projects, applying the concepts learned during the training to solve real-world problems.

·                 Each student presented their project outcomes to the trainer, submitted the project through the designated portal, and underwent a formal evaluation process based on project quality and implementation.

·                 Certificates were awarded to participants based on their attendance, active participation, and successful completion and evaluation of the project work.

Overall, the training program provided a strong foundation for advanced learning and career development in AI, Machine Learning, Deep Learning, and Data Science.