Streams provide a comprehensive treatment of a particular engineering area such as
Machine Learning or Computer Engineering.
Streams contain multiple collections of courses called Flows. Each Flow deals with a specific topic related to the main engineering area.
For example, the first Flow in our Machine Learning Stream is
"Intro to Machine Learning". Courses within each Flow contain lessons (units),
assignments and hands-on projects. Hands-on projects are designed to give students a practical understanding of the theory covered
in the units.
The Computer Engineering (CE) Stream exposes students to a comprehensive, project-based Flow of courses starting with fundamentals of electricity and DC & AC electronics.
The Machine Learning (ML) Stream exposes students to a comprehensive, project-based flow of courses starting with introductory, conceptual-based topics in classification, object detection and neural networks.
Meet Michael, a student and Stream Assistant at NexStream. He is an 8th-grader who has taken our ML-100 and ML-200 courses.
In this interview, Michael shares with us about his experience in NexStream classes as a student who started the Machine Learning Stream without any prior computer science knowledge. He also talks about his favorite Machine Learning projects and his experience as a Stream Assistant.
As a parent of a high school student interested in STEM, I believe ML (Machine Learning)
will be one of the critical necessary computer science skills that will benefit their future career. ML as the vehicle
driving AI (Artificial Intelligence) development forward, has started to gain traction within scientific research,
engineering, and other emerging technologies, from drug discovery to image optimization to logistics and manufacturing.
I believe NexStream's robust curriculum is an excellent primer for our kid's path to use ML as one of the tools to
help them accelerate in the future with any STEM fields that they are interested in.