Python

Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries

Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch

Explore the different data mining techniques using the libraries and packages offered by Python

Manipulate and analyze network data with the power of Python and NetworkX

Learn how you can control LEDs, make music, and read sensor data using popular microcontrollers such as Adafruit Circuit Playground, ESP8266, and the BBC micro:bit

Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applications

Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality.

Take your networking skills to the next level by learning network programming concepts and algorithms using Python

Boost UI development with ready-made widgets, controls, charts, and data visualization and create stunning 2D and 3D graphics with PyQt and PySide2.

Leverage the power of reward-based training for your deep learning models with Python

Learn and implement quantitative finance using popular Python libraries like NumPy, pandas, and Keras

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda Accelerate

Concepts, tools, and techniques to explore deep learning architectures and methodologies

Understand basic-to-advanced deep learning algorithms, the mathematical principles behind them, and their practical applications

Implement next-generation data sequencing for biological research and genomics