Nyt3 dages kursus 

Architecting agentic AI business solutions [AB-100T00]

DKK 14.999
ekskl. moms
Nr. 92016 A

Bliv klædt på til at designe AI-drevne forretningsløsninger ved hjælp af agenter, Microsoft Copilot og generativ AI på tværs af Microsoft-platforme. Kurset fokuserer på arkitekturprincipper, styring (governance) og cost-benefit-analyser, så du kan planlægge intelligente løsninger, der automatiserer vigtige processer og forbedrer beslutningstagning i organisationen.

Arkitektur af agentbaserede AI-forretningsløsninger

På kurset “Architecting agentic AI business solutions” lærer du, hvordan du bruger Microsofts platforme til at bygge smarte løsninger med AI-agenter, Copilot og generativ AI.

Du arbejder med at planlægge og designe systemer, der kan automatisere opgaver og gøre det nemmere at træffe gode beslutninger i din virksomhed. Du får viden om, hvordan du vælger den rigtige arkitektur, vurderer forskellige designmuligheder og sikrer, at AI-løsningerne passer til virksomhedens behov og regler. Kurset hjælper dig med at forstå, hvordan du finder balancen mellem pris og udbytte, og hvordan du styrer AI-løsningernes livscyklus fra start til slut.

Efter kurset kan du selv planlægge og integrere AI-løsninger i virksomheden på en sikker og effektiv måde. Du får styrket din evne til at tænke strategisk, tage gode designbeslutninger og bruge AI til at forbedre både kunde- og medarbejderoplevelser.

Deltagerprofil

Kurset henvender sig til erfarne IT- og forretningsarkitekter samt tekniske ledere, der arbejder med AI-drevne forretningsløsninger på Microsoft-platforme som Dynamics 365, Microsoft 365, Power Platform eller Azure AI.

Målgruppen omfatter løsnings- og enterprise-arkitekter, senior konsulenter samt AI- og digitaliseringsansvarlige, der arbejder strategisk med AI og governance i organisationen. Du får også udbytte af kurset, hvis du er applikationsarkitekt eller teknisk team lead og integrerer agenter, Copilot-funktioner og generativ AI i virksomhedens systemer.

 

Forudsætninger

Du forventes at have en grundlæggende forståelse for AI-koncepter, og du bør være fortrolig med at analysere forretningsprocesser og have kendskab til Microsofts værktøjer og platforme som Dynamics 365, Microsoft 365, Power Platform eller Azure. Det er ikke nødvendigt at være ekspert, men du skal kunne navigere i og forstå de grundlæggende funktioner og muligheder, som Microsofts løsninger tilbyder.

Udbytte

  • Du lærer at planlægge og designe end-to-end AI-løsninger, der understøtter virksomhedens mål og behov
  • Du får viden til at analysere forretningskrav og identificere relevante use cases for AI-agenter og Microsoft Copilot i organisationen
  • Du kan vurdere omkostninger og fordele (ROI) ved AI-løsninger, herunder afgøre om AI-komponenter skal udvikles internt, købes eksternt eller udvides på eksisterende platforme
  • Du bliver i stand til at designe skalerbare og udvidelige AI-løsninger ved hjælp af Microsofts AI-værktøjer (fx Copilot og Power Platform) og best practices for løsningsdesign
  • Du kan implementere robuste test- og valideringsstrategier for AI-systemer, så de kan kvalitetssikres og evalueres løbende i et enterprise-miljø
  • Du kan anvende principper for ansvarlig AI, inkl. sikkerhed, governance og compliance, for at sikre at AI-løsningerne overholder etiske standarder og lovkrav

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Indhold

Architect AI solutions for business productivity

Discover how to design and implement AI-powered business solutions using agents, generative AI, and Microsoft Copilot. Gain the skills to analyze requirements and create innovative solutions that enhance productivity and efficiency.

Modul 1: Introduction to Agentic AI Business Solutions
  • Drive AI transformation with architect strategies
  • Explore Microsoft AI technologies for business
  • Identify Microsoft AI technologies for business solutions
  • Identify out-of-box Microsoft AI agent resources for business solutions
  • Identify out-of-box Microsoft AI agents for business
Modul 2: Analyze Requirements for AI-Powered Business
  • Assess the use of agents in task automation, data analytics, and decision-making
  • Review data for grounding accuracy, relevance, timeliness, cleanliness, and availability
  • Organize business solution data for AI systems

Modul 3: Design overall AI strategy for business solutions
  • Implement AI adoption process with Azure
  • Design AI agents for business solutions
  • Design a multi-agent solution
  • Develop use cases for prebuilt Microsoft 365 Copilot agents
  • Define solution rules and constraints for AI components
  • Determine generative AI knowledge sources for agents built in Copilot Studio
  • Determine when to build custom agents or extend Microsoft 365 Copilot
  • Determine when custom AI models should be created
  • Provide guidelines for creating a prompt library
  • Develop use cases for customized small language models
  • Provide prompt engineering guidelines and techniques
  • Identify key business user roles for AI workloads
  • Evaluate regional and local AI data regulation compliance requirements
  • Include elements in a Microsoft AI Center of Excellence
  • Design AI solutions using multiple Dynamics 365 apps
  • Design user prompt training for AI solution adoption
Modul 4: Evaluate Costs and Benefits of AI
  • Evaluate ROI criteria for AI-powered solutions
  • Create ROI analysis for a proposed AI solution
  • Analyze whether to build, buy, or extend AI components
  • Implement a model router to intelligently route requests to the most suitable model
Modul 5: Design AI agents for business solutions
  • Define core tenets of responsible AI guidelines for AI business solutions
  • Design business terms for Copilot in Dynamics 365 Customer Service
  • Design customizations for Copilot in Dynamics 365 apps
  • Design connectors for Copilot in Dynamics 365 Sales
  • Design AI agents for Dynamics 365 Contact Center
  • Design task agents in Microsoft Copilot Studio
  • Design autonomous agents in Copilot Studio
  • Design prompt-driven agents using Copilot Studio
  • Propose Foundry tools given a requirement
  • Propose code first generative pages and agent feed applications
  • Design topics for Copilot Studio, including fallback
  • Design data processing workflows for grounded AI
  • Design business processes with AI in Power Apps canvas apps
  • Apply the Microsoft Power Platform Well-Architected Framework to intelligent application workloads
  • Determine the use of standard natural language processing
  • Design agents and agent flows with Copilot Studio
  • Design prompt actions in Copilot Studio
  • Define success criteria and adoption goals for AI business solutions
Modul 6: Modul 5: Design Extensibility of AI Solutions
  • Design AI solutions with custom models in Microsoft Foundry
  • Design agents in Microsoft 365 Copilot
  • Design extensible agents in Microsoft Copilot Studio
  • Design extensible agents using MCP in Copilot Studio
  • Design agents to automate tasks in apps and websites with “Computer Use” in Copilot Studio
  • Design agent behaviors in Copilot Studio
  • Optimize solution design for agents in Microsoft 365
Modul 7: Orchestrate configuration of prebuilt agents and apps
  • Design AI solutions for Dynamics 365 Customer Service
  • Propose Microsoft 365 agents for business scenarios
  • Orchestrate and configure Microsoft 365 Copilot for sales and service
  • Propose Microsoft Power Platform AI features
  • Design interoperable agent experiences for Finance and Operations
  • Recommend process knowledge sources for in-app help in Dynamics 365
  • Orchestrate AI features in Dynamics 365 Finance and Supply Chain
Modul 8: Monitor, analyze, and tune AI agents
  • Recommend process tools for monitoring agents
  • Analyze backlog and user feedback for AI agent usage
  • Apply AI-based tools to analyze, identify issues, and perform tuning
  • Monitor AI agent performance metrics
  • Interpret telemetry data to tune AI performance
Modul 9: Manage testing AI-powered business solutions
  • Recommend process metrics for testing AI agents
  • Create validation criteria for custom AI models
  • Validate effective Copilot prompt best practices
  • Design end-to-end test scenarios for AI solutions using multiple Dynamics 365 apps
  • Build a strategy for creating test cases using Copilot
Modul 10: Design ALM process for AI-powered business solutions
  • Design an ALM process for data used in AI models and agents
  • Design an ALM process for Copilot Studio agents, connectors, and actions
  • Design ALM processes for Microsoft Foundry agents
  • Design an ALM process for custom AI models
  • Design an ALM process for AI in Dynamics 365 Finance and Supply Chain
  • Design ALM processes for AI in Dynamics 365 apps
Modul 11: Design Responsible AI: Security, Governance, Risk Management, and Compliance
  • Design security agents for Microsoft clouds
  • Design governance models for AI agents
  • Design model security for responsible AI
  • Analyze AI vulnerabilities and mitigations for prompt manipulation
  • Review solution adherence to Responsible AI principles
  • Validate data residency and movement compliance
  • Design access controls for grounding data and model tuning
  • Design audit trails for changes to models and data

Bemærk: Indhold for dette kursus tilpasses løbende af Microsoft for at følge med den løbende teknologiske udvikling, der kan derfor ske ændringer af kursusindhold uden varsel.

Form

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Certificering

Dette kursus anbefales som en del af din forberedelse til at tage eksamen AB-100 Agentic AI Business Solutions Architect. For at opnå certificeringen Microsoft Certified: Agentic AI Business Solutions Architect, skal du også have bestået én af følgende eksamener: MB-800, MB-820, MB-280, MB-230, MB-240, MB-310, MB-335, MB-500, PL-200, PL-400, PL-500 eller AI-102.

Din eksamen bestilles og betales særskilt.

Microsoft skriver om denne eksamen
While this course aligns conceptually with many of the AB-100 exam skill areas, it is not a test-preparation course and does not focus on test-taking strategies. Instead, it provides the architectural foundations, enterprise context, and design reasoning that make AB-100 learning meaningful and applicable.For many learners, this course serves as a recommended preparatory step before beginning focused AB-100 exam study.

As an AI-first solution architect, you lead the transformation of enterprise operations by envisioning and implementing AI-powered architecture. With a focus on making the most of the full spectrum of Microsoft AI apps and services, along with business application tools, you drive innovation and help to ensure the delivery of impactful AI-powered solutions.

As a candidate for this certification, you’re an accomplished solution architect with expertise in designing and delivering AI-driven business solutions that transform business processes and foster innovation. You’re experienced in creating scalable, secure, and integrated solutions that use multiple Microsoft services to address complex organizational challenges.

Your competencies include:

- Expertise in architecting solutions that use AI, including generative AI and various Foundry Tools tailored to meet business objectives.

- The ability to design agentic-first solutions.

- Skills in designing multi-agent orchestrated solutions.

- Experience designing secure and scalable cross-platform AI solutions.

- Comprehensive knowledge of core Dynamics?365 products, Microsoft Power Platform, Microsoft Copilot Studio, Microsoft Foundry Tools, and Foundry Models.

- Proficiency in working with agents created by using Copilot Studio, AI prompts, Microsoft Foundry, and working knowledge of multiple language models to create intelligent solutions.

- Proficiency in adopting frameworks and delivering measurable outcomes aligned with enterprise success metrics and architecture patterns.

- Expertise in working with open standards and protocols, including Agent2Agent (A2A) and Model Context Protocol (MCP).

- Expertise in responsible AI practices, helping to ensure compliance and advocating for the Microsoft responsible AI guidelines.

- Strong leadership in orchestrating AI features in Microsoft business applications to optimize operations and unlock growth opportunities.

- Skills in securing AI models and data workflows, including detecting and resolving vulnerabilities, enforcing data residency and access controls, safeguarding model tuning, tracking changes, maintaining audit trails, and defending against prompt manipulation.

- Experience in monitoring agent performance and interpreting telemetry data to help ensure reliability, optimize behavior, and drive continuous improvement.

- Ability to conduct a return-on-investment (ROI) analysis of an AI-powered solution.

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