What will you learn in C++ Standard Library including C++ 14 & C++ 17 Course
Master the C++ Standard Library’s core components: containers, iterators, algorithms, and function objects
Leverage modern C++14/17 enhancements such as
std::optional,std::variant,std::string_view, and parallel algorithmsWrite generic, efficient code using smart pointers,
std::chrono, and<thread>utilities
Utilize ranges, filesystem, and regular expressions for real-world application needs
Apply best practices for performance tuning, exception safety, and API design
Program Overview
Module 1: STL Containers & Iterators
⏳ 1 week
Topics:
std::vector,std::deque,std::list,std::map,std::unordered_*containers; iterator categoriesHands-on: Implement container-based data pipelines and traverse with iterator adaptors
Module 2: Algorithms & Function Objects
⏳ 1 week
Topics:
<algorithm>routines (sort,transform,accumulate), custom predicates, and lambda usageHands-on: Solve data-processing tasks using algorithm chains and custom comparators
Module 3: Smart Pointers & Resource Management
⏳ 1 week
Topics:
std::unique_ptr,std::shared_ptr,std::weak_ptr, RAII patternsHands-on: Refactor legacy code to use smart pointers and eliminate manual
new/delete
Module 4: Chrono, Threading & Synchronization
⏳ 1 week
Topics:
std::chronodurations and clocks,std::thread,std::mutex,std::future/std::asyncHands-on: Build a multi-threaded producer-consumer pipeline with timing measurements
Module 5: C++14/17 Library Additions
⏳ 1 week
Topics:
std::make_unique, generic lambdas,std::optional,std::variant,std::string_viewHands-on: Enhance a parser using
std::variantfor AST node representation andstring_viewfor token spans
Module 6: Filesystem & Regular Expressions
⏳ 1 week
Topics:
<filesystem>for path ops, file traversal;<regex>for pattern matchingHands-on: Write a log-file scanner that recursively searches directories and filters entries via regex
Module 7: Ranges & Parallel Algorithms
⏳ 1 week
Topics: Ranges TS (
std::views,std::ranges::for_each), execution policies for parallel STLHands-on: Process large datasets in parallel with
std::execution::parand compose view pipelines
Module 8: Best Practices & Capstone Project
⏳ 1 week
Topics: Exception safety, API design, performance profiling, memory considerations
Hands-on: Design and implement a modular library component using learned STL features, followed by peer code review
Get certificate
Job Outlook
Expertise in the modern C++ Standard Library is prized in finance, game development, system software, and embedded systems
Roles include C++ Developer, Systems Engineer, and Performance Engineer
Salaries range from $90,000 to $150,000+ based on experience and industry
Mastery of STL and C++17 boosts productivity and code quality in high-performance applications
Specification: C++ Standard Library including C++ 14 & C++ 17 Course
|
FAQs
- Solid understanding of C++ basics is recommended.
- Familiarity with OOP concepts, functions, and classes helps follow examples.
- Course is not for absolute beginners; focus is on modern library usage.
- Hands-on labs reinforce STL concepts in real-world contexts.
- Enables learners to write maintainable, high-performance C++ code.
- Covers containers, iterators, algorithms, and function objects in depth.
- Hands-on labs simulate production use cases and performance-critical tasks.
- Includes threading, synchronization, and chrono utilities for real scenarios.
- Capstone project applies learned concepts to a modular library component.
- Prepares learners for high-performance and scalable C++ applications.
- Covers
std::optional,std::variant,std::string_view, andstd::make_unique. - Introduces parallel algorithms and execution policies.
- Hands-on exercises demonstrate modern features in real scenarios.
- Teaches ranges, views, and pipelines for clean code design.
- Enhances ability to write concise, maintainable, and robust C++ code.
- Focuses on exception safety, RAII, and resource management.
- Teaches smart pointer usage to eliminate manual memory handling.
- Performance profiling exercises included in labs.
- Encourages best practices in API and modular component design.
- Helps produce maintainable, high-performance production-ready code.
- Dedicate 4–6 hours weekly to complete modules and hands-on exercises.
- Focus on one STL component or topic per session for better understanding.
- Incrementally complete labs and the capstone project for reinforcement.
- Document container usage, algorithms, and threading patterns.
- Review exercises and peer code reviews to consolidate learning.

