See the full OSSU CS curriculum here. This document is a collection of all the courses and certifications I've earned under the OSSU course.

The OSSU curriculum is a complete education in computer science using online materials. It's not merely for career training or professional development. It's for those who want a proper, well-rounded grounding in concepts fundamental to all computing disciplines, and for those who have the discipline, will, and (most importantly!) good habits to obtain this education largely on their own, but with support from a worldwide community of fellow learners.

It is designed according to the degree requirements of undergraduate computer science majors, minus general education (non-CS) requirements, as it is assumed most of the people following this curriculum are already educated outside the field of CS. The courses themselves are among the very best in the world, often coming from Harvard, Princeton, MIT, etc., but specifically chosen to meet the following criteria.

Courses must:

• Be open for enrollment
• Run regularly (ideally in self-paced format, otherwise running multiple times per year)
• Be of generally high quality in teaching materials and pedagogical principles
• Match the curricular standards of the CS 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science

Topics covered: computation imperative programming basic data structures and algorithms and more

Topics covered: functional programming design for testing program requirements common design patterns unit testing object-oriented design static typing dynamic typing ML-family languages (via Standard ML) Lisp-family languages (via Racket) Ruby and more

Topics covered: terminals and shell scripting command line environments version control and more

Topics covered: procedural programming manual memory management boolean algebra gate logic memory computer architecture assembly machine language virtual machines high-level languages compilers operating systems network protocols and more

Topics covered: divide and conquer sorting and searching randomized algorithms graph search shortest paths data structures greedy algorithms minimum spanning trees dynamic programming NP-completeness and more

Topics covered Confidentiality, Integrity, Availability Secure Design Defensive Programming Threats and Attacks Network Security Cryptography and more

Topics covered: Agile methodology REST software specifications refactoring relational databases transaction processing data modeling OpenGL ray tracing and more

Topics covered: Social Context Analytical Tools Professional Ethics Intellectual Property Privacy and Civil Liberties and more

After completing every required course in Core CS, students should choose a subset of courses from Advanced CS based on interest. Not every course from a subcategory needs to be taken. But students should take every course that is relevant to the field they intend to go into.

Topics covered: debugging theory and practice parallel computing object-oriented analysis and design large-scale software architecture and design and more

Topics covered: Core AWS Services EC2 S3 RDS VPC ELB IAM Serverless Architectures with AWS Lambda Cloud Computing Basics (IaaS, PaaS, SaaS) Amazon RDS and DynamoDB and more

Topics covered: Linux Shell Go HTTP Clients HTTP Servers Git Docker and more