Description
Agentic AI Engineer Bootcamp: AI Agents ReAct & RAG in C++ is a course on how to build and understand production-style AI agent systems using modern C++20, published by Udemy Online Academy. Rather than focusing solely on high-level prompts or frameworks, the bootcamp walks learners through the inner mechanics of agent runtimes, including Predict-Reason-Act-Observe loops, tool execution, state management, recovery, memory, safety, evaluation, and observability, giving learners a systems engineering perspective on AI agents, rather than a purely prompt-centric one. Learners begin by building the core Predict, Reason, Act, Observe loop that underlies practical AI agents, and understand this cycle at the code level, not as an abstract diagram. The course then goes on to design C++ AI agent runtimes with real-world tools, state tracking, observations, retry logic, and traceable decision making, giving learners the system-level control that high-level frameworks often abstract away. A significant portion of the bootcamp focuses on building robust RAG systems, covering document loading, segmentation, retrieval, citation, and quality checks to ensure agents respond based on verifiable source material, not ad hoc production.
Learners also implement ReAct-style reasoning flows, connecting thoughts, actions, observations, and final responses in a coherent, traceable sequence, rather than a black-box output. As the bootcamp progresses, learners build increasingly complex systems: memory-based assistants capable of maintaining relevant context across interactions, multi-agent workflows where multiple agents coordinate on different aspects of a task, and ultimately a local OpsCopilot that combines tools, retrieval, memory, commands, and safety controls into a single functional system. Throughout the program, safety, assessment, and observability are considered primary engineering concerns, not afterthoughts, because agents working with real tools need safeguards and visibility into their decision-making. By the end of the bootcamp, learners will understand how to build reliable and auditable AI operating systems in C++ from the ground up.
What you will learn in Agentic AI Engineer Bootcamp: AI Agents ReAct & RAG in C++:
- Build the core Predict, Reason, Act, Observe loop behind practical AI agents.
- Design C++ AI agent runtimes with tools, state, observations, retries, and traceable decisions.
- Build grounded RAG systems with document loading, chunking, retrieval, citations, and quality checks.
- Implement ReAct-style reasoning flows that connect thoughts, actions, observations, and final answers.
- and …
Course specifications
Publisher: Udemy
Instructors: Real AI Engineering and LexpAI Software Technologies Inc.
Language: English
Level: Introductory to Advanced
Number of Lessons: 98
Duration: 6h 54m
Course topics
Agentic AI Engineer Bootcamp: AI Agents ReAct & RAG in C++ Prerequisites
Basic C++ knowledge, including variables, functions, classes, and standard library containers.
No external AI API key is required because the course examples use local, deterministic C++ programs.
A compiler or development environment where you can build and run guided C++ projects.
Pictures
Agentic AI Engineer Bootcamp: AI Agents ReAct & RAG in C++ introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
5.4 GB