AB-100: Architecting agentic AI business solutions

Architecting agentic AI business solutions is an advanced course for architects, senior consultants, and technical leaders responsible for planning, designing, and governing AI-powered enterprise solutions built on Microsoft platforms.

This course serves as a foundational, real-world, and architectural preparation step that builds the design judgment, strategic reasoning, and end-to-end understanding learners need before pursuing the AB‑100 exam or implementing agentic AI solutions at scale. Learners will explore how to architect AI-powered business solutions that use agents, copilots, and generative AI to automate tasks, improve decision-making, and enhance employee and customer experiences. Emphasis is placed on architecture, trade-offs, governance, cost/benefit analysis, and lifecycle management, rather than step-by-step configuration.

Course Objectives

After completing this course, participants will be able to:

  • Design and implement AI solutions using Azure AI services
  • Develop applications using Azure Cognitive Services
  • Build solutions for natural language processing and conversational AI
  • Implement computer vision solutions for image and video analysis
  • Create and deploy AI models and integrate them into applications
  • Develop generative AI and agent-based solutions
  • Apply responsible AI principles in solution design
  • Evaluate and optimize AI model performance

Target audience

This course is intended for:

  • Software developers
  • AI engineers
  • Cloud solution architects
  • Data professionals working with AI solutions
  • IT professionals building intelligent applications

The course is designed for professionals who want to build, manage and deploy AI-powered applications using Azure services.

Prerequisites

Participants should have:

  • Basic knowledge of Microsoft Azure and the Azure portal
  • Experience with programming using C# or Python
  • Familiarity with REST APIs and JSON

Planning and preparing AI solutions
Participants learn the fundamentals of AI, Azure AI services, and how to plan AI-enabled applications.

Developing AI applications
Learn how to build applications using Azure AI services and SDKs, including working with language models and APIs.

Working with generative AI and prompt flows
Participants explore how to build generative AI solutions and work with prompt engineering and large language models.

Building RAG-based solutions
This module focuses on combining AI models with your own data to create intelligent and context-aware applications.

Fine-tuning and optimizing models
Learn how to improve AI models through fine-tuning and performance optimization.

Implementing responsible AI
Participants learn how to design AI systems that are secure, ethical and compliant.

Developing AI agents
Explore how to design and build AI agents and multi-agent solutions using Azure tools.

This course is part of the following Certifications:

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.

Your key responsibilities include:

  • Envisioning and defining architecture strategies to integrate AI and agents into business solutions.
  • Defining the roadmap for agentic-first business processes.
  • Analyzing and interpreting business and technical requirements to architect comprehensive solutions.
  • Designing and prototyping AI components and showcasing transformative capabilities.
  • Guiding the end-to-end implementation of AI-centric solutions, helping to ensure security, scalability, and alignment with organizational goals.
  • Promoting and championing the adoption of AI technologies in the development lifecycle and across business units.
  • Creating a cohesive application lifecycle management (ALM) strategy for agentic-first solutions.
  • Creating a cohesive environment strategy for AI-powered solutions, with consideration for third-party AI solutions.
  • Guiding organizations on their way to becoming AI-forward companies.

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.

For more information click here: Microsoft Certified: Agentic AI Business Solutions Architect

Practical information

Duration: 3 days
Price: 20 000 NOK
Language: English
Format: Our courses can be ordered as both open and in-company courses.

FAQ

Hva koster kurset?
20 000 NOK

Hvordan gjennomføres kurset?
Kurset gjennomføres som instruktørledet undervisning med praktiske øvelser hvor deltakerne jobber med utvikling av AI-løsninger i Azure.

Hvem passer kurset for?
Kurset passer for utviklere og IT-fagfolk som ønsker å bygge AI-baserte applikasjoner ved hjelp av Microsoft Azure.

Hva lærer jeg i løpet av kurset?
Du lærer hvordan du designer, utvikler og implementerer AI-løsninger i Azure, inkludert bruk av språkmodeller, computer vision, generativ AI og automatisering.

Er kurset praktisk rettet?
Ja. Kurset inkluderer hands-on lab-øvelser hvor deltakerne bygger og tester AI-løsninger.

Hvilke temaer dekkes i kurset?
Kurset dekker blant annet Azure AI-tjenester, generativ AI, naturlig språkprosessering, computer vision, AI-agenter og ansvarlig AI.

Hvilke forkunnskaper anbefales?
Det anbefales erfaring med Azure og programmering i C# eller Python.

Hva gjør dette kurset unikt?
Kurset kombinerer moderne AI-teknologier som generativ AI, AI-agenter og klassiske AI-tjenester i én helhetlig læringsreise.