The Definitive Computer Science Path for Professional Developers

This comprehensive learning path is designed for developers who aspire to build an elite foundation in computer science and modern software engineering. It employs an integrated approach, teaching mathematical and theoretical concepts precisely when they are relevant to core computer science topics, with a strong emphasis on practical application.

The path is structured into three main tracks:

  • Track 1: Optional Foundational Course
    • Course 0: Big Picture Overview of Computer Science: Understand the key milestones, figures, and innovations that shaped the modern technological world.
  • Track 2: Core Computer Science & Systems
    • This track provides foundational theory, integrating mathematical and theoretical concepts directly into each course for "just-in-time" knowledge.
    • Course 1: CS Fundamentals: Learn how a computer works, executes code, and represents information, integrating concepts like Propositional Logic and Set Theory.
    • Course 2: Operating Systems & Computer Networking: Understand software-hardware interaction and system communication, covering topics like Processes & Threads, Concurrency, and Network Protocols, with integrated concepts such as State Machines and Intro to Probability & Statistics.
    • Course 3: Database Fundamentals: Master modeling, storing, and querying data effectively in persistent storage, including Relational and Non-Relational models, SQL, and Relational Algebra.
    • Course 4: Foundational Data Structures & Algorithms: Acquire techniques for data organization and efficient code for common problems, covering ADTs, Arrays, Stacks, Queues, Hash Tables, Linked Lists, Recursive Data Types, and basic Search & Sorting, with integrated Recursion & Proof by Induction and Asymptotic Analysis.
    • Course 5: Advanced Data Structures & Algorithms: Solve complex problems using advanced data structures and algorithmic patterns like Trees, Graphs, Efficient Sorting, and Dynamic Programming, integrating Graph Theory, Combinatorics, and Recurrence Relations.
  • Track 3: Professional Software Engineering
    • This track focuses on the practical application of theory to build and manage modern software.
    • Course 6: Software Architecture & Design Patterns: Learn to structure code and build maintainable, scalable systems, covering Architectural Principles and various Design Patterns.
    • Course 7: Distributed Computing: Understand principles for building scalable and resilient applications across multiple machines, including the CAP Theorem, communication patterns, and microservice architecture.
    • Course 8: The Modern Developer Toolkit & Methodologies: Master tools, processes, and methodologies for building, testing, shipping, and managing software in an AI-augmented environment, including Agile, Git, Testing Methodologies, CI/CD, Containerization, and leveraging AI Code Assistants and LLMs.
    • Course 9: Practical Security, Cloud & Modern Math: Learn to write secure code, deploy to the cloud, and understand the math behind modern tech, covering Application Security, Cloud Fundamentals, Number Theory, and Linear Algebra.
Big Picture Overview of Computer Science: The Internet Era & Beyond(In Development)
Computer Science Path for Professional Developers
Big Picture Overview of Computer Science: The Internet Era & Beyond(In Development)

Course Objective:
This course provides a broad, high-level understanding of modern computer science concepts from the birth of the internet to today's cutting-edge technologies. Our objective is to equip learners with knowledge of how the internet transformed computing, the structure of the modern digital world, the fundamentals of AI, cryptocurrency, and an overview of contemporary software development. This course builds upon foundational computing knowledge, preparing you for more detailed technical courses in modern technologies.

Target Audience:
This course is designed for anyone seeking a strong foundational understanding of computer science concepts. This includes:

  • Absolute Beginners: Individuals with little to no prior computer science knowledge who are curious about the field.
  • Self-Taught Developers: Programmers with practical coding skills who wish to fill in theoretical gaps.
  • Bootcamp Graduates: Developers looking to strengthen their knowledge of formal computer science principles.
  • University Students & Graduates:
    • Undergraduates in non-technical fields (e.g., business, arts, sciences) who need a comprehensive overview of computer science.
    • Professionals and long-time graduates from other fields looking to transition into technology or update their understanding.
  • Computer Science Majors & Graduates:
    • Current CS Majors can use this course to provide context and see the "big picture" connecting their specialized university courses.
    • Holders of a Bachelor's in CS can use it for interview preparation or to efficiently update their knowledge on modern trends.
Big Picture Overview of Computer Science: Foundations of Computing
Computer Science Path for Professional Developers
Big Picture Overview of Computer Science: Foundations of Computing

Course Objective:
This course provides a broad, high-level understanding of foundational computer science concepts from the earliest computing machines to pre-internet era systems. Our objective is to equip learners with knowledge of computing history, hardware fundamentals, early programming concepts, and how the digital foundation was built. This course serves as the essential first part of your computer science journey, preparing you to understand how we arrived at the modern digital world.

Target Audience:
This course is designed for anyone seeking a strong foundational understanding of computer science concepts. This includes:

  • Absolute Beginners: Individuals with little to no prior computer science knowledge who are curious about the field.
  • Self-Taught Developers: Programmers with practical coding skills who wish to fill in theoretical gaps.
  • Bootcamp Graduates: Developers looking to strengthen their knowledge of formal computer science principles.
  • University Students & Graduates:
    • Undergraduates in non-technical fields (e.g., business, arts, sciences) who need a comprehensive overview of computer science.
    • Professionals and long-time graduates from other fields looking to transition into technology or update their understanding.
  • Computer Science Majors & Graduates:
    • Current CS Majors can use this course to provide context and see the "big picture" connecting their specialized university courses.
    • Holders of a Bachelor's in CS can use it for interview preparation or to efficiently update their knowledge on modern trends.