Artificial Intelligence / Machine Learning
Python | Machine Learning | Deep Learning | NLP | TensorFlow
Course overview
Develop AI and machine learning foundations through data preparation, model building, evaluation and practical predictive analytics projects.
Hands-on practiceReal-time projectsInterview preparationResume guidance
Topics covered
✓ Python for AI and data science
✓ Statistics and probability foundations
✓ Data preprocessing and exploratory analysis
✓ Supervised and unsupervised learning
✓ Regression and classification
✓ Clustering techniques
✓ Model evaluation and validation
✓ Neural networks and deep learning basics
✓ NLP and TensorFlow / Keras
✓ Model deployment basics and capstone
Project work
- Sales prediction model
- Customer churn prediction
- Sentiment analysis or NLP chatbot
Potential career paths
AI Engineer · ML Engineer · Junior Data Scientist
Roles and outcomes depend on your prior experience, practice and the opportunities available.