Trainer: Mamoona Mustaq 

  Duration: 2 Months (8 Weeks)
Days: Friday, Saturday, Sunday
Total Sessions: 24
Session Duration: 2Hours

Program Goal

To equip participants with practical, job-ready Machine Learning skills and enable them to build, deploy, and apply AI solutions in real-world scenarios.

This program is designed to build job-ready Machine Learning skills from beginner to advanced level. Participants learn Python, data handling, and complete ML workflows, followed by building and evaluating models using supervised and unsupervised techniques.

The program covers data preprocessing, feature engineering, model optimization, and deployment using APIs. Learners also explore Generative AI and chatbot development. Through real-world projects like customer segmentation and final ML solutions, participants gain practical experience, build portfolios, and prepare for freelancing or AI/ML careers.

Training Outcomes

• Understand complete Machine Learning workflow
• Work with real-world data using Python
• Build and evaluate ML models
• Apply supervised & unsupervised algorithms
• Deploy basic ML models using APIs
• Create simple AI applications (chatbots)
• Complete portfolio-ready projects