Comprehensive course on building production AI agents. From Transformer fundamentals to multi-agent orchestration, RLHF, and deployment.

A production-oriented course repository that walks through building a multi-agent chatbot from scratch. Covers backend APIs, agent orchestration, tool-using agents, streaming, authentication, infrastructure, and frontend integration—going beyond demos to real-world systems.

🚀 OpenAI Agents SDK Full Course Learn how to build, manage, and orchestrate multi-agent AI systems using the OpenAI Agents SDK. 🎓 Ideal for beginners. Watch my YouTube Channel: https://www.youtube.com/@illahibuxJ

A university course project: development of a multi-agent, text-based strategic game powered by orchestrated large language models (LLMs). The repository contains all source code and documentation related to the project.

A conversational AI assistant for task management using multi-agent orchestration. Built for 5-Day AI Agents Intensive Course with Google - Capstone Project

End-to-end multi-agent tutoring system that plans sessions, checks topic relevance, explains concepts, generates practice, and books tutoring sessions. Powered by an agentic RAG over course materials, LangGraph orchestration, Google ADK based orchestrator and sub agents, an A2A protocol server, an MCP tool server, and a Streamlit frontend.

Course Planning Assistant AI is an AI-powered multi-agent system that generates personalized course and learning plans based on user goals, skills, and preferences, using CrewAI for intelligent task orchestration.

AI-powered multi-agent video course generator. Orchestrates 6 specialized agents (Curriculum, Script, Audio, Video, Composition, Corrector) to autonomously create personalized educational videos with frame-perfect sync. Scene-based architecture, browser rendering, interactive quizzes. Next.js + Remotion + Three.js + Firebase + Claude 3.5.

A production-grade event-driven, multi-agent AI orchestration microservices platform that autonomously generates grounded, structured educational courses from raw unstructured documents using RAG and LLM-as-a-Judge evaluation.

A Debugging agent, of course your SDE, capable of debugging an issue. A multi agent orchestrator helps in debugging an issue.

Google ADK course by Brandon Hancock. Python examples illustrate session state, persistent storage, multi-agent orchestration, sequential agents, parallel agents, and loop agents

Multi-Agent AI Course Generator using Google ADK, A2A Protocol, and LiteLLM - Demonstrates advanced agent orchestration with distributed microservices

Capstone project for 5-Day AI Agents Intensive Course with Google, An Orchestrated Multi-Agent System for Parallel Data Retrieval and AI Summarization

Repository of all hands-on notebook implementations from the Introduction to LangGraph course, demonstrating graph-based agent orchestration, state management, and multi-agent design.

A structured 8-part course on building multi-agent AI systems using local LLMs, RAG, orchestration patterns, and production-grade architecture.

This is the final project of the course "LLMs and Multi-Agent Orchestration". The project demonstrates multi-agent communication using a competitive gaming league based on the game "Twenty-One Questions" (Q21G).

Syllabot Pro 2 is built on a multi-agent orchestration architecture designed to automate the creation of high-quality, structured course materials. The system uses specialized AI agents, coordinated by a central orchestrator, to perform distinct tasks within the content generation pipeline.

An AI-powered personal fitness planner that analyzes workout gaps, gives tailored nutrition advice, and recommends workout courses using OpenAI multi-agent orchestration.

LangGraph-based multi-agent essay writer — an LLM-driven, graph-orchestrated pipeline that plans, researches, drafts, and iteratively critiques essays (from the Coursera “AI Agents in LangGraph” short course).

A Python-based minimal multi-agent chat system developed for the Knowledge Representation and Reasoning (KRR) course. The system features a Coordinator (Manager) agent orchestrating Research, Analysis, and Memory agents to collaboratively answer user queries.

Automates Google Classroom workflows with multi‑agent orchestration: tracks course activity, generates quiz study docs, builds assignment plans, and produces starter code scaffolds on a schedule.

LLMs and Multi Agent Orchestration Reichman University Course, Homework 6, Prompt Engineering for massprodaction. The goal of the assignment is to demonstrate what helps and what harms the prompt, and to show improvement (or intentional deterioration) in performance through a graph.

Official Title: A General-Purpose AI Tutor on AWS for University Courses. Technical Implementation: An Agentic AI Platform leveraging a Multi-Tenant Serverless Architecture on Amazon Bedrock. Focused on Zero-Trust data isolation, RAG optimization, and Omnichannel deployment (Web/Email/Voice) for enterprise-scale academic orchestration.