👑Go beyond static LLM chats and build truly intelligent AI assistants💡 In this hands-on tutorial, Dr. Mehrdad Arashpour demonstrates how to create a powerful, goal-oriented AI agent using Microsoft Copilot Studio.
In 10 minutes, learn the critical difference between reactive LLMs (like GPT, Gemini, Deepseek & Claude).
What you’ll learn in this video:
– Understanding AI Agents vs. LLMs: Discover why autonomous AI agents are essential for consistent, reliable results in project and business settings.
– Step-by-Step Agent Creation: Follow along as we build a “Project Safety AI Agent” from scratch in Microsoft Copilot Studio.
– Integrating Authoritative Knowledge: See how to feed your agent with real-time, official guidelines from OSHA, ANSI, NIOSH, and CPWR to ensure expert, data-driven advice.
– Crafting Effective Instructions & Prompts: Learn to define your agent’s persona and provide starter prompts for common safety queries (e.g., silica dust control, electrical shock mitigation, confined space entry).
– Live Demo & Validation: Watch the Project Safety Agent in action, comparing its robust, cited responses to a generic LLM’s output – highlighting the necessity of specialized agents.
– The Future of Project Management: Understand the proactive capabilities of AI agents, including tool-using and stateful memory, and their impact on enhancing safety, compliance, and decision-making.
This video is ideal for anyone interested in applying advanced AI solutions to real-world challenges.
🔗 Resources & Links:
– Microsoft Copilot Studio:
– Engineering Management Academy Channel:
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