SIWES Physical
Applied AI & Machine Learning
Overview
Learn Python for AI, build and evaluate ML models, and deploy real AI systems. Covers supervised and unsupervised learning, neural networks, and MLOps. For CS, engineering, and data-inclined students.
Duration
3 months
Format
SIWES Physical
What you'll learn
- Master Python for data science — NumPy, Pandas, and Scikit-learn ML pipelines
- Build supervised models (regression, classification) and unsupervised models (clustering)
- Train neural networks with TensorFlow and Keras for image classification and NLP tasks
- Apply transfer learning — fine-tune pre-trained models for custom use cases
- Deploy ML models as REST APIs and integrate them into real applications
- Implement MLOps basics — model versioning, monitoring, and retraining workflows
- Complete an end-to-end AI project using real datasets from Kaggle