provide a comprehensive treatment of a particular engineering area such as Machine Learning or Computer Engineering.
Streams are divided into a collection 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 are further divided into units (lessons), assignments and hands-on projects. Hands-on
projects are designed to give our students a practical understanding of the theory covered in the units.
Enrollment in each Stream is offered through a monthly subscription program. A subscription to a particular Stream gives students access to all the material in that entire Stream. Additionally, students will choose a weekly 1.5hr timeslot to attend one of our Instructor Assisted Project Sessions (IAPS). During each IAP Session, students will get to participate in technical challenges, interact with other students and seek help/guidance from our Instructors, Instructor Assistants (IA) and Stream Assistants (SAs) on their lessons and hands-on projects.
Before a student can enroll in a subscription program, they are required to take an introductory course, called NexStarter™, in the Stream of their choice. They are encouraged to sample from as many NexStarter™ courses as they like. Each NexStarter™ course is designed to provide students with a basic introduction in one particular Stream. Our goal is to provide students the option of sampling our Streams before selecting one (or many) of interest to subscribe in. NexStarter™ courses are offered seasonally; please check the Seasonal Programs section of this page for more info.
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.
At NexStream, we support individualized education plans for each student based on the incoming level and speed at which the student progresses through the curriculum. Students work on a series of courses and units in a main curriculum pathway called a
The Stream material consists of cloud-based instructional videos, presentations and assessments as well as hands-on guided projects which are designed to be completely self-contained. The students can go through the lessons and projects at their own pace and do not have to follow a prescribed timeline.
We augment our self-paced learning environment with weekly online assistance sessions. During these online sessions, Stream instructors and Stream Assistants (SAs) are available to answer questions about the material covered in the online lessons and/or provide guidance with the hands-on projects.
During each session, our instructors and SAs check in with the students to find out what area they might need help with and/or require a quick tutorial on. Based on this feedback, the students are assigned to breakout rooms where they can work directly with the instructors or SAs.
Guided projects are hands-on applications of the main concepts that are covered in one or multiple units. The projects are specifically designed to apply the learned concepts in a practical setting in order to help students solidify their understanding of the material. Instructors and Stream Assistants (SAs) will be on hand to help guide the students through the projects if needed and to answer questions.