About this course
✅ What You'll Learn
How Generative AI and Large Language Models (LLMs) work — and how Copilot uses them
The full Microsoft 365 Copilot architecture: Microsoft Graph, Semantic Index, RAG, and Azure OpenAI
Copilot in Word, Excel, PowerPoint, Outlook, Teams, Loop, and OneNote
Prompt engineering using the RACI framework, zero-shot, few-shot, and chain-of-thought techniques
How to build custom Copilot agents in Copilot Studio — no coding required
Responsible AI: hallucinations, prompt injection, over-reliance, sensitivity labels, and DLP
Data analysis with Copilot in Excel and the Analyst Agent
Meeting intelligence with Copilot in Teams — transcription, recaps, and Copilot Pages
How to manage prompts, conversations, and shared prompt libraries
Two complete capstone projects: AI-Powered Workday + Procurement Assistant Agent
Full AB-730 exam readiness: mock exam, practice questions, and 30-day prep plan
📚 Course Structure — 26 Parts
PartTopic1–2AB-730 Overview + M365 Environment Setup3–4LLMs, Copilot Architecture + Hands-On Labs5–6Chat & Agent Experiences + Agent Store Labs7–8Ethics, Data Protection + BFSI Risk Scenarios9–10Prompt Engineering Theory + Practice Labs11–12Managing Prompts + Microsoft Prompt Gallery13–14Managing Conversations + Notebooks15–16Building Custom Copilot Agents17–18Drafting Business Documents19–20Data Analysis & Insights with Copilot21–22Meetings & Collaboration in Teams23Capstone 1: AI-Powered Workday24–25Capstone 2: Procurement Assistant Agent26Exam Readi