CMake, Tests & Tooling for C/C++ Projects [2026 Edition]
What you'll learn
- CMake (Command Line and GUI)
- Create modern C/C++ Projects
- Use external Projects via Git, Conan and VCPKG
- Automate the HTML Documentation (Doxygen)
- Unit Testing with Catch2
- Code Coverage of the Unit Tests
- Continuous Integration with Github Actions
- Tooling: Clang-Format, Clang-Tidy, Cppcheck
- Tooling: Sanitizer, Cmake-Format, Pre-Commit
- VSCcode and VS 2022 with GCC, Clang and MSVC
Requirements
- C/C++ Basics
- Commandline Basics
Description
Transform Your C/C++ Development Workflow – From Hobbyist to Professional
Can you write C++ code, but struggle with project structure, testing, and deployment? This course teaches you the professional workflows used at top tech companies – CMake, automated testing, continuous integration, and modern tooling.
What You'll Master:
Modern CMake from Scratch
Cross-platform builds for Windows, Linux, and macOS
Libraries, targets, and installation
Git submodules, Conan, and VCPKG for dependencies
CMake GUI for visual project configuration
Testing & Quality Assurance
Unit testing with Catch2
Code coverage measurement and visualization
Continuous Integration with GitHub Actions
Sanitizers for runtime checks (memory leaks, undefined behavior)
Professional C++ Tooling
Clang-Tidy – Static analysis for bug detection
Clang-Format – Automatic code formatting
Cppcheck – Additional static analysis
cmake-format – Clean CMakeLists.txt files
Pre-commit hooks – Enforce quality before commits
Documentation & Optimization
Doxygen for automated HTML documentation
Link Time Optimization (LTO) for performance
Debugging techniques across compilers
VSCode and Visual Studio 2022 integration
Cross-Compiler Support:
Works with GCC, Clang, and MSVC – Learn once, use everywhere.
Who Is This Course For?
Perfect for:
C/C++ developers ready to build professional projects
Engineers transitioning to industry-standard workflows
Students preparing for software engineering roles
Developers maintaining legacy codebases
Anyone wanting production-ready C++ skills
Prerequisites:
C/C++ basics (functions, classes)
Basic command-line experience
Willingness to learn professional tools
What You'll Achieve:
Set up cross-platform C++ projects with CMake
Write and automate unit tests with code coverage
Implement CI/CD pipelines with GitHub Actions
Use professional code quality tools
Generate documentation automatically
Deploy production-ready software
Why This Matters:
Industry Standard – CMake is the de-facto build system for C++
Job Requirement – These skills appear in job postings
Time Saver – Automation reduces manual work
Quality Insurance – Catch bugs before they reach users
Course Details:
6.5 hours of focused content – 67 lectures in 6 sections
Bestseller – 14,000+ students, 4.5-star rating
Updated November 2024 – Latest tools and practices
Full project template – Start your projects right
Elevate your C++ career – with 30-day money-back guarantee!
See you in class!
Who this course is for:
- Every C and C++ Programmer
Instructor
Hi, ich bin der Jan!
German Description (English down below)
Ich habe meinen Master of Science (M. Sc.) im Fach der Angewandte Informatik an der Ruhr-Universität Bochum im September 2019 abgeschlossen und arbeite seitdem als Machine Learning Entwickler für das Autonome Fahren bei der ZF Group.
Mein Interesse, Informatik- und Mathematikwissen zu vermitteln, besteht schon seit vielen Jahren. Ich führe neben meiner Dozenten-Tätigkeit auf Udemy ebenfalls den Youtube Kanal mit dem Namen ""Franneck"".
Vor Allem im Gebiet des Machine Learnings, des Deep Learnings, der C/C++ und Python Programmierung versuche ich Euch fit zu machen und euch alles wichtige zu zeigen.
English Description
Hi, I'm Jan!
I finished my Master of Science (M. Sc.) in Applied Computer Science at Ruhr-Universität Bochum in September 2019 and have been working as a Machine Learning Developer for Autonomous Driving at ZF Group since then.
My interest in teaching computer science and mathematics knowledge has existed for many years. In addition to my lecturing activities on Udemy, I also run the Youtube channel with the name ""Franneck"".
Especially in the area of machine learning, deep learning, C/C++ and Python programming I try to make you fit and show you everything important.