Course_Description:
A practical program designed to help learners apply AI and ML techniques to solve real business challenges. From predictive analytics to recommendation systems, participants will gain hands-on experience building models that drive measurable impact.
Learning Objectives:
• Understand supervised and unsupervised learning methods
• Build predictive models for customer behavior and market trends
• Develop recommendation engines and personalization systems
• Apply natural language processing (NLP) for text and sentiment analysis
• Deploy ML solutions into production environments
⏳ Schedule
• Schedule_Format: Hybrid (Online + Weekend Workshops)
• Session_Times: Sat & Sun, 10:00 AM – 2:00 PM
👨🏫 Instructor
• Instructor_Name: Eng. Omar Khalid
• Instructor_Title: Senior Data Scientist & AI Consultant
• Instructor_Bio: 8+ years of experience in AI-driven business solutions, specializing in predictive analytics and NLP. Former consultant for fintech and retail enterprises.
📂 Curriculum & Content
• Modules List:
1. Introduction to AI & ML in Business
2. Data Preprocessing & Feature Engineering
3. Predictive Analytics & Forecasting Models
4. Recommendation Systems & Personalization
5. Natural Language Processing (NLP)
6. Capstone Project: AI Solution for a Business Case
• Learning_Methods: Live coding, labs, group projects, mentor-led reviews
• Capstone_Project: Build and deploy a recommendation engine for a simulated e-commerce platform
• Assessment_Methods: Weekly assignments, mid-term project, final capstone presentation
