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Unclaimed ProfileThe Complete Microsoft Copilot Studio & AI Agents Bootcamp, created by Prof. Ryan Ahmed, offers an immersive and highly practical learning experience designed for professionals eager to master autonomous AI agents and workflow automation. As industries rapidly shift toward agentic AI architectures, this comprehensive bootcamp bridges the gap between conceptual understanding and real-world execution within the Microsoft ecosystem. Participants learn how to build, deploy, and manage intelligent agents capable of advanced reasoning, decision-making, and executing tasks without human intervention. Throughout the training, students explore critical methodologies including Retrieval-Augmented Generation (RAG) to connect agents with domain-specific knowledge bases. The curriculum covers integrating custom REST APIs, configuring advanced triggers, and orchestrating coordinated multi-agent teams to handle complex enterprise scenarios—from financial analysis to automated marketing campaigns. Ideal for developers, IT specialists, and business automation engineers, this course ensures that learners can confidently deploy AI agents across Microsoft 365 tools like Teams, Excel, and SharePoint, unlocking tangible productivity gains.
About the creator
Prof. Ryan Ahmed
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Prof. Ryan Ahmed is a distinguished educator and technology leader dedicated to making artificial intelligence and machine learning accessible to a global audience. With a profound understanding of cutting-edge tech, Ryan specializes in demystifying complex concepts such as Agentic AI engineering, LLM system architecture, and advanced retrieval-augmented generation (RAG). His teaching methodology centers on a practical, hands-on approach that bridges the gap between theoretical data science and enterprise-ready application development. Whether guiding his students through building custom Python-based AI agents from scratch or configuring enterprise workflows using Microsoft Copilot Studio, Ryan ensures every lesson is grounded in real-world utility. He…Show more
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Program Overview
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Learning format
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Price may change · updated within 1–2 weeks
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What You'll Learn
- Build intelligent AI agents in Copilot Studio capable of reasoning, decision-making, and workflow execution without Human Intervention
- Master Retrieval Augmented Generation (RAG) & learn how to integrate domain-specific documents into an AI Agent Knowledge Base.
- Create Agentic AI triggers, advanced instructions, tools, and automated workflows in Copilot Studio.
- Design a coordinated team of autonomous AI agents & learn how to orchestrate their communication, task-sharing, & decision-making across a multi-agent workflow.
- Master building Agentic AI Workflows across the entire Microsoft 365 Apps such as Excel, Word, Outlook, Teams, One Drive & SharePoint
- Build a finance-focused AI agent that responds to expense and procurement questions strictly using provided company policies.
- Develop an autonomous student intake agent that collects data, logs information, and automatically triggers workflow actions.
- Design a coordinated multi-agent marketing team that researches competitors, generates creative assets, and produces a full launch campaign for Nike.
- Add a project management agent to the orchestration flow to generate a complete, time-bound launch schedule for the campaign.
- Build a financial analyst agent that retrieves real financial data via REST APIs and automates report generation using a custom prompt tool.
- Create a RAG-powered AI assistant that answers questions using uploaded documents through a full Retrieval-Augmented Generation pipeline.
- Learn how to build AI Agents from existing Copilot Studio Templates & Leverage Pre-Build Agents (Researcher, Analyst, Workflows, & Career Coach)
- Evaluate LLMs using leaderboards (Vellum, Chatbot Arena) & learn how to select the right model based on reasoning quality, cost, latency, & overall performance
Best For
- Business automation engineers looking to deploy autonomous agents in Microsoft 365 environments.
- IT professionals and developers aiming to bridge the gap between AI concepts and enterprise-grade automation.
- System architects interested in implementing Retrieval-Augmented Generation (RAG) and multi-agent orchestration.
- Power users who want to transition from basic chatbot creation to building sophisticated AI workflows.
Not For
- Individuals seeking a high-level, non-technical overview of AI without hands-on coding or configuration experience.
- Learners exclusively interested in open-source AI frameworks outside the Microsoft ecosystem.
- Complete beginners to computing who lack familiarity with basic workflow logic and data structures.
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