C/C++ Programming Fundamentals Training

Duration: 8 hours

Alpinum's C/C++ Programming Fundamentals Training helps engineers build practical capability in C and modern C++ development. The course is designed for engineers who need to understand low-level programming, memory management, structured application design and multithreaded software development.

This course is suitable for software engineers, embedded engineers, systems developers and graduate engineers working towards more advanced software, networking, embedded or automotive engineering roles.

Who Should Attend?

This course is suitable for:

• • Engineers learning C/C++ for systems or embedded development

• • Software developers moving closer to hardware-level programming

• • Graduate engineers needing practical C++ development experience

• • Teams working with performance-sensitive or resource-constrained systems

What the Course Covers

Participants learn the fundamentals of C/C++ programming through practical development tasks. The course introduces core programming constructs before moving into memory management, object-oriented design, templates, STL containers and multithreading.

Key topics include:

• • Variables and types

• • Functions

• • Pointers

• • Memory management

• • Structures and classes

• • Templates

• • STL containers and algorithms

• • Multithreading

Practical Labs

The course includes practical labs such as a student record management system, a generic library management system and a multithreaded log processing system. These labs help participants move from basic C++ programming to reusable software design and concurrent application development.

Lab 1: Student Record Management System

Learning Objectives: Variables and data types, Functions, Pointers, Dynamic memory management, Structures and classes

Description: Create a console application to manage student records.

Tasks

• • Define a Student structure/class containing: Student ID, Name, Age, Grade

• • Implement functions to: Add a student, Delete a student, Search for a student, Display all students

• • Store students in dynamically allocated memory.

• • Use pointers to: Access records, Pass data to functions

• • Implement constructors and destructors.

Extension Tasks

• • Save/load records from a file.

• • Sort students by grade.

Topics Covered

Variables and Types, Functions, Pointers, Memory Management, Structures and Classes

Open Source Recommendation: Reference simple SQLite C++ wrappers or command-line interface (CLI) UI libraries, such as FTXUI, for inspiration on building structured console applications.

Lab 2: Generic Library Management System

Learning Objectives: Templates, STL containers, Classes, Memory management

Description: Build a reusable library management system using templates.

Tasks

• • Create a template class:
    template class Repository ;

• • Manage: Books, DVDs, Journals

• • Use STL containers: std::vector, std::list, std::map

• • Implement: Add item, Remove item, Search item, Sort items

• • Use STL algorithms: sort, find_if, for_each

Extension Tasks

• • Implement custom comparators.

• • Add exception handling.

Topics Covered

Templates, Classes, STL Containers, STL Algorithms, Memory Management

Open Source Recommendation: Reference generic inventory management templates on GitHub, or use nlohmann/json to demonstrate data serialization in C++.

Lab 3: Multithreaded Log Processing System

Learning Objectives: Multithreading, Synchronization, STL, Templates, Memory management

Description: Develop a high-performance log processing application.

Tasks

• • Generate log messages from multiple producer threads.

• • Create consumer threads that: Read logs, Count events, and Generate statistics

• • Use: std::thread, std::mutex, std::lock_guard, std::condition_variable

• • Store log entries using STL containers.

• • Design a thread-safe queue class.

Extension Tasks

• • Add thread pool support.

• • Measure performance scaling.

• • Process log files in parallel.

Topics Covered

Multithreading, STL, Classes, Templates, Dynamic Memory, Synchronization

Open Source Recommendation: spdlog (a very fast C++ logging library) or Fluent Bit (an open-source log processor and forwarder) serve as excellent real-world examples of multithreaded logging.

Coverage Matrix

These three labs work well as a 3-week module, moving from core C++ programming to modern C++ design, and finally to concurrent software development.

Project

Participants apply the course concepts through a practical module project, such as building a multithreaded TCP echo server.

Assessment

• • Hands-on Exercises: Directed development blocks focused on track-specific implementation challenges.

• • Quizzes: Milestone-based knowledge checks to ensure students remain aligned with architectural best practices throughout the project lifecycle.

Learning Outcomes

By the end of the course, participants will understand C/C++ programming fundamentals, be able to use pointers and dynamic memory safely, work with classes and templates, use STL containers and build simple multithreaded applications.

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