Join My Study Group For MS-CS on Coursera (CU Boulder) + DS Cert + AI Cert

Earn program admission simply by performing well (Grade of B or better) in a three-course pathway specialization.

Breadth: Network Systems: Principles and Practice (Linux and Cloud Networking) (3 credits)

(1) CSCA 5063: Network Systems Foundation
(2) CSCA 5073: Network Principles in Practice: Linux Networking
(3) CSCA 5083: Network Principles in Practice: Cloud Networking

Plan to enroll in non-credit version first using Coursera.
Must have a wi-fi enabled laptop.

Are there any prerequisites for the program?
There are no formal prerequisites for the MS-CS or MS-AI programs, but you should be knowledgeable in the following MS-CS recommended prior knowledge:

Algorithms: You must understand the concepts covered in the following courses taught by Dr. Sriram Sankaranarayanan to succeed in the pathway focusing on data structures and algorithms.

CU recommends completing these courses in the non-credit experience before starting that three-course MS-CS pathway; they are a great option to refresh your skills and ensure you're ready.

Non-credit version of Algorithms for Searching, Sorting, and Indexing Non-credit version of Trees and Graphs: Basics

Note that you cannot apply credit from these courses toward MS-CS graduation requirements.

Programming: You should be familiar with one or more of the following languages:

C, C++, or Rust - consider the following Coursera courses for more learning:

C++ For C Programmers, Part A |Coursera
C++ For C Programmers, Part B | Coursera

Python – consider CU Boulder's non-credit Expressway to Data Science: Python Programmingspecialization if you do not feel confident in this material.

If you are looking for more Python courses, you can try:

Python for Data Science, AI & Development | Coursera

Crash Course on Python | Coursera

Python for Everybody Specialization [5 courses] (UMich) | Courser

Python Basics | Coursera

Java - consider the following Coursera courses for more Java learning foundations:
Introduction to Java Course (LearnQuest) | Coursera
Java Programming and Software Engineering Fundamentals Specialization [5 courses] (Duke University) | Coursera
Computer Science: Programming with a Purpose Course (Princeton) | Coursera

Math: You should have an understanding of the following branches of mathematics:
Linear algebra – consider CU Boulder's non-credit Essential Linear Algebra for Data Science course if you do not feel confident in this material
Probability and statistics
Discrete mathematics
Consider the CU Boulder Expressway to Data Science: Essential Math Specialization