Well Understanding of the meaning, purpose, scope, stages, applications, and effects of Artificial Intelligence.
Build and design your own intelligent agents, applying them to create practical Artificial Intelligence projects.
Skills to master the essential concepts of Python programming.
How to write your own Python scripts and perform basic hands-on data analysis using Jupyter notebook.
In-depth understanding of Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing.
Perform high-level mathematical and technical computing using the NumPy and SciPy packages and data analysis with the Pandas package.
Master the skill to understand the concepts of supervised and unsupervised learning models, including linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline, recommendation engine, and time series modeling.
Master your skills on advanced topics in Artificial Intelligence, like convolutional neural networks, recurrent neural networks, training deep networks, and high-level interfaces.