Basic software engineering principles, variables, functions, loop statements, if statements, basic algorithms and data structures.

Javascript
IDE
Terminal

Cover fundamental computer programming concepts and learn the basics of C. Build a solid foundation in back-end programming including pointers, arrays, strings, algorithms, hash data structures, software architecture, blockchain basics and more.

C IDE Assembly

Learners move on to Python and the fundamentals of machine learning, covering regressions, training sets, structured vs unstructured data, and data collection, display, and storage. Learners also cover some of the cloud-based tools available for ML.

Python
Pytorch
Jupyter

Perhaps one of the more challenging tracks, learners dig into advanced machine learning algorithms, linear regression and  classification, neural networks, logistic regression, optimization and performance, support vector machines, supervised vs unsupervised learning, Kaggle and large/complex data sets, reinforcement learning.

Python, Panda, Tensor Flow, Keras, Jupyter

Learners complete a final program project that aligns with the industry in which they want to get a job. The project must be about 3 months in duration and of significant technical difficulty. Learners will also contribute to open source
projects from Kaggle.

Python, Panda, Tensor Flow, Keras, Jupyter

Agile Freelancing and Open Source Projects: The outcome of the final project module is intended to be a submission of a freelance project along with a written report and a presentation that will satisfy the assessment criteria. It is aimed to ensure that you progress towards your project with high expectations of a successful outcome and thus planning is a crucial part of your process