Good data is central to effective AI applications. This course teaches the basics of data for AI, covering what data is needed, how to extract data from existing databases and basic data skills including setup of a Python notebook environment, basic data exploration and simple data visualizations.

Learn how a quantum computer can be operated: you will go through the basics of quantum algorithms, quantum error-correction, micro-architectures, compilers, and programming languages for quantum computing, and protocols for the quantum internet.

Quantum information is at the heart of quantum computing: learn how it is mathematically represented via quantum circuits and how to manipulate quantum entanglement with these circuits.

This course enables the learner to implement modern, high-level programming language concepts in assembly language by learning and applying the foundational essentials of digital logic, computer organization, and low-level programming logic necessary to do so.

Introduction to linear optimization, duality and the simplex algorithm.

Introduction to network optimization and discrete optimization

Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods.

Basic concepts and algorithms for locomotion, perception, and intelligent navigation.

Self-Driving Cars with Duckietown is the first robotics and AI MOOC with scale-model self-driving cars. Learn state-of-the-art autonomy hands-on: build your own real robot (Duckiebot) and get it to drive autonomously in your scaled city (Duckietown).

Your career as a program developer starts here. Gain entry-level programing skills in Java language, and prepare yourself to handle any task that is required in any programming job.

A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning.

Learn about recursion, search and sort algorithms, and object-oriented programming in Python.