Descriptions
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 will 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 will 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 will 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. Throughout the course, you will progressively build five complete AI-powered C++ projects, with each project introducing new concepts and extending the architecture of the previous one.
You will 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 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, and design applications that can support multiple AI backends with minimal code changes. Most AI application development courses rely heavily on Python, wrapper libraries, or pre-built SDKs, but this course takes a different approach. You will 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 will also build the same chatbot progressively, from a monolithic implementation to functions, and finally to a full object-oriented design, allowing you to see why architectural improvements matter and when to apply them.
What you’ll learn
- Build five complete AI-powered C++ applications from scratch
- Understand how AI APIs work at the HTTP and JSON level, not just how to call them
- Connect C++ directly to OpenAI’s GPT models and run AI locally for free using Ollama
- Gain skills transferable to real-world AI application development in any language
- Add demonstrable AI integration projects to your portfolio
- Develop the confidence to integrate new AI services independently after the course ends
- Build a solid understanding of JSON handling and HTTP/HTTPS communication in C++ using industry-standard libraries
- Construct AI API requests, parse structured responses, and handle errors correctly
- Learn the Builder Pattern, dependency injection, and composition through real projects
- Build a complete Retrieval-Augmented Generation pipeline from scratch in C++
- Design applications that support multiple AI backends with minimal code changes
- Understand what AI wrapper libraries are doing underneath
- Build a foundation that outlasts changing APIs, models, and tools
- Develop architectural thinking that applies well beyond this course
Who this course is for
- C++ developers who want to learn how to build modern AI-powered applications.
- Intermediate C++ programmers who want to apply their existing C++ skills to AI application development.
- Software developers interested in integrating AI services directly into their applications.
- Developers who want to understand AI APIs at the HTTP and JSON level, rather than relying entirely on wrapper libraries or pre-built SDKs.
- C++ developers interested in OpenAI and local AI using Ollama.
- Developers who want to learn Retrieval-Augmented Generation (RAG) using C++, rather than relying exclusively on Python.
- Developers who want practical, portfolio-ready AI projects they can demonstrate to employers or clients.
- Programmers who want to strengthen their software architecture and object-oriented design skills through real AI projects.
Specificatoin of Build AI-Powered Applications in Modern C++
- Publisher : Udemy
- Teacher : Tim Buchalka’s Learn Programming Academy , Wyzdom AI Inc , Dr. Frank Mitropoulos
- Language : English
- Level : Intermediate
- Number of Course : 105
- Duration : 12 hours and 29 minutes
Content of Build AI-Powered Applications in Modern C++
Requirements
- Intermediate C++ knowledge: variables, functions, loops, conditionals, and basic classes
- Beginner-level familiarity with pointers and references
- Comfortable with Windows 10/11, macOS (current or up to 2 versions behind), or Ubuntu 24.04 LTS
- No Python knowledge required
- Able to use a terminal, install software, and manage files
- Machine capable of running CLion IDE and Docker Desktop
- 8GB RAM minimum, 16GB recommended
- 15-20GB free disk space
- Reliable internet connection
- Some exposure to object-oriented design
- Familiarity with any IDE
- No prior AI or machine learning experience
- No prior AI or machine learning experience
- No GPU required
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7.25 GB