Build AI-Powered Applications in Modern C++

Build AI-Powered Applications in Modern C++

Ready to take your C++ skills into the world of Artificial Intelligence?

In this hands-on course, you’ll learn how to build real AI-powered applications in modern C++ by working directly with AI APIs, HTTP/HTTPS communication, JSON, embeddings, vector representations, and Retrieval-Augmented Generation (RAG).

Instead of hiding the complexity behind pre-built AI SDKs or wrapper libraries, this course takes an internals-first approach. You’ll see exactly how requests are constructed, how JSON data is exchanged, how responses are parsed, and how AI services can be integrated into a C++ application.

You’ll also learn how to connect C++ applications to OpenAI GPT models and run AI models locally using Ollama, giving you the flexibility to work with cloud-based or local AI.

What You’ll Build

Throughout the course, you’ll progressively build five complete AI-powered C++ projects, with each project introducing new concepts and extending the architecture of the previous one.

You’ll learn how to:

• Build AI applications using C++ and the OpenAI API

• Run AI models locally with Ollama

• Send and process HTTP/HTTPS requests directly from C++

• Work with JSON using the industry-standard nlohmann-json library

• Build and parse structured AI responses

• Create embeddings and perform similarity searches

• Build a complete Retrieval-Augmented Generation (RAG) system from scratch in C++

• Apply the Builder Pattern with method chaining

• Progress from simple procedural code to well-structured object-oriented applications

• Apply dependency injection and composition in real projects

• Design applications that can support multiple AI backends with minimal code changes

Why This Course Is Different

Most AI application development courses rely heavily on Python, wrapper libraries, or pre-built SDKs.

This course takes a different approach.

You’ll build a complete RAG pipeline in C++, giving you a deeper understanding of how modern AI applications actually work while demonstrating that C++ is a powerful choice for AI application development.

You’ll also build the same chatbot progressively – from a monolithic implementation, to functions, and finally to a full object-oriented design. This allows you to see why architectural improvements matter and when to apply them.

All five projects support both OpenAI and Ollama, allowing you to switch between cloud-based and local AI with minimal configuration changes.

By the end of the course, you won’t simply know how to call an AI API. You’ll understand the underlying technologies well enough to integrate new AI services independently as APIs, models, and tools continue to evolve.

What You’ll Need

You should have intermediate C++ knowledge, including variables, functions, loops, conditionals, and basic classes. Beginner-level familiarity with pointers and references is also recommended.

You’ll need a computer capable of running CLion and Docker Desktop, with at least 8 GB of RAM (16 GB recommended) and approximately 15–20 GB of available disk space.

• No previous AI or machine learning experience is required.

• No Python knowledge is required.

• No GPU is required.

By the End of This Course

You’ll have practical experience building AI-powered applications in C++ and a portfolio of projects demonstrating your ability to integrate modern AI technologies into real software.

More importantly, you’ll develop the architectural understanding and confidence to go beyond this course and build your own AI-powered C++ applications.

If you’re ready to combine the power of C++ with modern AI, this course will give you the practical skills and foundation to get started.