Build practical AI applications with Python. Learn data manipulation, exploratory analysis, algorithms, and applied predictive modeling.
The premier on-ramp for developers and engineers entering artificial intelligence. Learn modern idiomatic Python, data processing with Pandas and NumPy, data visualization, feature engineering, and deploying practical applied AI algorithms into production.
12 weeks · 48 guided hours · 4 hours / week · ₹9,999
Syllabus
- Idiomatic Python & Algorithm Fundamentals: List comprehensions, generators, object-oriented design patterns, and algorithmic complexity.
- Numerical Computing & Data Wrangling: Vectorized computing with NumPy and cleaning tabular datasets with Pandas.
- Applied Machine Learning Algorithms: Training decision trees, random forests, clustering models, and evaluating model metrics.
- Full-Stack AI Web Application Capstone: Building an interactive predictive application with Streamlit and serving predictions via REST API.
What you will learn
- Advanced Python idioms, functional paradigms, and data structures
- High-performance numerical computing with NumPy and Pandas
- Exploratory Data Analysis (EDA) and publication-grade visualizations
- Feature engineering and applied predictive models with Scikit-Learn
- Creating web-based AI demo applications using Streamlit and FastAPI
Register for AI with Python