What you will learn:
By the end of this AI training, you will be able to accomplish the following:
- Understand the meaning, purpose, scope, stages, applications, and effects of Artificial Intelligence
- Design and build your own intelligent agents, applying them to create practical Artificial Intelligence projects, including games, machine learning models, logic constraint satisfaction problems, knowledge-based systems, probabilistic models, and agent decision-making functions
- Master the essential concepts of Python programming, including data types, tuples, lists, dicts, basic operators, and functions
- Learn how to write your own Python scripts and perform basic hands-on data analysis using Jupyter notebook
- Gain an 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 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
- Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline
- Master advanced topics in Artificial Intelligence, such as convolutional neural networks, recurrent neural networks, training deep networks, and high-level interfaces