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Our Streams

What are Streams?

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.

Computer Engineering Stream

The Computer Engineering (CE) Stream exposes students to a comprehensive, project-based Flow of courses starting with fundamentals of electricity and DC & AC electronics.

Machine Learning Stream

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.

Seasonal Programs 2021 Fall NexStarter™ Sessions Coming Soon

Spotlighting One of our Current Students

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.

Watch the video to know more about Michael and his experiences at NexStream.

What Our Customers Say About Us


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.

Jimmy, parent of a 10th grade student

My son smiles so much during your classes and I have never seen him being so happy with his work!

Lucy, parent of a 12th grade intern

The course content and material for ML-110 was great. They were indeed interesting.

A 9th grade student

Michael enjoys this program and I am sure he will learn a lot of things he is interested in from you guys.

Xin, parent of an 8th grade student and intern

Frequently Asked Questions

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 Stream.

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.

Students are required to have satisfactorily completed 7th grade before enrolling.

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