Course Description:
- This course provides a hands-on exploration of Artificial Intelligence through real-world applications across multiple industries.
- Each session focuses on building a complete AI project, from dataset understanding to model training, evaluation, and deployment, helping you bridge the gap between theory and practice
- The course allowing you to experience how AI transforms fields such as healthcare, industry, agriculture, business, and energy through automation and data-driven intelligence
Course Main points:
Healthcare AI:
- > Pneumonia Classification
- > Diabetes Prediction
Environmental AI:
- > Energy Consumption Prediction
Industrial AI:
- > Machine Failure Prediction
Agriculture AI:
- > Plant Disease Detection
Business AI:
- > Retail Sales Forecasting
- > Customer Segmentation
- > Recommendation System
Key Concepts:
- > Medical image classification, CNNs, performance evaluation
- > Classification, preprocessing, model optimization
- > Predictive maintenance using sensor data
- > Time-series forecasting with regression and LSTM
- > Clustering, unsupervised learning, PCA
- > Collaborative filtering, matrix factorization
- > Regression models, visualization, feature selection
Duration:
27 Hrs
- Each session >> one complete applied project
Instructor Bio:
Eng Khaled Ayman Korish
- A Machine Learning Engineer specialized in building and deploying AI models for real-world applications across healthcare, industry, and business
- He holds a B.Sc. in Computer and Automatic Control Engineering from Tanta University and has hands-on experience with deep learning, Flask/FastAPI deployment, and AWS Cloud
- He has developed multiple AI services in his MediXAi project, including disease detection and predictive maintenance systems
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