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Copilot Chat, Prompts and Agents · LearnSpace
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Copilot Chat, Prompts and Agents

Курс от Microsoft
Начальный≈ 6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Gain expertise in the art of iterative prompting and specialized AI agents. This course teaches you to act as an orchestrator, using core principles—clarity, context, and constraints—to generate professional-grade business outputs. You’ll learn to navigate the critical divide between Web and Work data and move from general chat into specialized workflows using the Researcher and Analyst agents within Microsoft 365 Copilot. By mastering the prompt-and-verify loop, you’ll reduce back-and-forth and turn Copilot into a high-precision business partner. Through hands-on practice, you’ll learn how to select the right data source for different tasks, refine prompts through targeted follow-up questions, and improve the quality, relevance, and accuracy of AI-generated outputs. You’ll also explore how specialized agents support research, data interrogation, and business analysis while maintaining control over context and intent. By the end of the course, you’ll be able to structure effective prompts, orchestrate agent workflows, evaluate AI outputs for validity, and apply practical safeguards that protect sensitive information and support responsible business use.

Навыки, которые вы освоите

Microsoft CopilotPrompt EngineeringGenerative AI AgentsAI WorkflowsAgentic WorkflowsMicrosoft 365Business Workflow AnalysisAI OrchestrationData EthicsVerification And ValidationBusiness ResearchResearch ReportsData AccessPrompt Engineering ToolsWorkflow ManagementAnalysisRiskingAgentic systemsResponsible AIPrompt Patterns

Программа курса

10 модулей · 57 учебных материалов

01Cut Your Prep Time in Half: The Efficiency of Web and Work Mode5 материалов
From 2 Hours to 3 Minutes: Maximizing Your Copilot ROIВидеоWeb Mode vs. Work Mode: Two Data UniversesВидеоMicrosoft Copilot Web vs. Work Mode Selection GuideЧтениеSwitching Modes and Verifying Your Data SourceЧтение

Учитесь у экспертов

Microsoft

Преподаватель курса

Copilot Chat, Prompts and Agents
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 6 ч

10 модулей

Язык: Английский

Часть программы вашего университета
Knowledge Check: Web vs. Work ModeЗадание
02Choosing Between Chat and Agents in Your Work6 материалов
Beyond the Chat Window: When Tasks Require an AI AgentDIALOGUEChat vs. Agents: Knowing When to EscalateВидеоChat vs. Agent Selection ReferenceЧтениеIdentifying Agent-Appropriate Tasks in Your WorkЧтениеClassify Your High-Stakes TasksDIALOGUEKnowledge Check: Chat vs. Agent-Based ExperiencesЗадание
03Connecting Copilot to Your Full Data Ecosystem6 материалов
The ZF Case Study: Ending the Tab-Switching TaxВидеоMicrosoft Graph Connectors: How External Data Enters the Work GraphВидеоGraph Connectors Reference: What Gets Connected and What It Means for Your PromptsЧтениеUsing Copilot When Graph Connectors Are ActiveЧтениеKnowledge Check: Graph Connectors and Extended Data GroundingЗаданиеGraded Quiz: The Professional Chat EnvironmentЗадание
04Ending the Rework Loop: Using Structure to Drive AI Quality5 материалов
The Microsoft Study: The Impact of Structured PromptingВидеоThe Clarity, Context, and Constraints FrameworkВидеоPrompt Writing Reference GuideЧтениеBuilding Framework Prompts for Real Business TasksЧтениеKnowledge Check: The Clarity, Context, and Constraints FrameworkЗадание
05Precision Prompting: The Iterative Loop7 материалов
When Your Prompt Isn't Quite RightDIALOGUEThe Iterative Loop: From Draft to DeliverableВидеоIterative Prompting Reference: Diagnosing and Refining OutputsЧтениеRun a Full Iterative Loop on a Business OutputЧтениеHands-on Activity: Run an Iterative Refinement LoopЗаданиеKnowledge Check: The Iterative LoopЗаданиеGraded Quiz: Precision Prompting and IterationЗадание
06Orchestrating Agents: The Agent Landscape—Store vs. Custom5 материалов
The Hargreaves Lansdown Case StudyВидеоThe Agent Landscape: Agent Store vs. Copilot StudioВидеоAgent Store vs. Microsoft Copilot Studio: Selection ReferenceЧтениеNavigating the Agent Store and Evaluating Pre-Built AgentsЧтениеKnowledge Check: The Agent LandscapeЗадание
07Orchestrating Agents: Researcher and Analyst Agent Execution6 материалов
When Gathering Information Takes Up Most of Your TimeDIALOGUEResearcher vs. Analyst: Selecting the Right SpecialistВидеоResearcher vs. Analyst: Task Selection ReferenceЧтениеInvoking and Grounding Agents with the @Mention SyntaxЧтениеHands-on Activity: Select and Brief a Specialist AgentЗаданиеKnowledge Check: Researcher and Analyst Agent ExecutionЗадание
08Orchestrating Agents: Configuring Custom Agents in Microsoft Copilot Studio7 материалов
The ServiceNow Case Study: 50% Faster Crisis ResponseВидеоCopilot Studio Configuration: Instructions, Knowledge Sources, and Suggested PromptsВидеоMicrosoft Copilot Studio Configuration ReferenceЧтениеPlanning a Custom Agent: From Business Need to Configuration BriefЧтениеPlan Your Custom AgentDIALOGUEKnowledge Check: Configuring Custom Agents in Microsoft Copilot StudioЗаданиеGraded Quiz: Orchestrating Specialized AgentsЗадание
09GenAI Module: Responsible Prompting6 материалов
The Prompt You Send Is Data TooВидеоPrivacy-Safe Prompting and IP-Aware Content GenerationВидеоResponsible Prompting Reference: Risky vs. Safe Prompt PairsЧтениеApplying Responsible Prompting to Real WorkflowsЧтениеHands-On Learning: Audit and Rewrite a Risky PromptDIALOGUEKnowledge Check: Responsible PromptingЗадание
10Project Module : The Helix Health AI Standard: Prompt Library & Agent Architecture Brief4 материалов
From Fragmented to Fluent: Why a Prompt Standard Changes EverythingЧтениеProject Requirements: Helix Health Microsoft CopilotЧтениеProject Instructions: Repaired Enterprise Prompt Library and Agent BriefЧтениеHands-on Activity: The Helix Health AI Portfolio: Prompt Library and Agent Architecture BriefЗадание