The Microsoft Dynamics 365 Contact Center AI Engineer Associate (AB-250) certification validates a professional’s ability to design and implement AI-powered contact center solutions using Microsoft Dynamics 365 Contact Center. It focuses on developing scalable and well-governed customer service environments that bring together human representatives, Microsoft Copilot capabilities, AI agents, autonomous agents, voice services, digital channels, intelligent routing, and contact center analytics.
As organizations modernize their customer service operations, they increasingly need professionals who understand both contact center technologies and the artificial intelligence capabilities that support them. AB-250 candidates are expected to translate business and service requirements into contact center solutions that improve customer engagement, representative productivity, operational efficiency, and service performance.
This video training course provides a structured and comprehensive learning path for the AB-250 certification. It begins with essential Microsoft Azure, cloud computing, and artificial intelligence concepts before progressing into Dynamics 365 Contact Center deployment, communication channels, Copilot capabilities, AI agents, responsible AI, Microsoft Foundry, unified routing, workforce management, and analytics.
Throughout the course, learners develop conceptual knowledge of Microsoft Azure, Dynamics 365 Contact Center, Microsoft Power Platform, Microsoft Dataverse, Microsoft Copilot Studio, Microsoft Foundry, and related AI technologies. The course explains how these platforms and services work together to support intelligent contact centers where human representatives, AI agents, and autonomous agents collaborate across voice and digital engagement channels.
This course contains the following lessons:
- Introduction – Covers the evolution of Microsoft Azure, core cloud computing concepts, cloud service models, the shared responsibility model, and Azure resource management.
- AI Foundations for Contact Center Engineers – Introduces artificial intelligence concepts, Azure AI services, generative AI workflows, chat and completion-style inference, prompt construction, and responsible AI principles.
- AI Agents and Autonomous Agents – Explains how AI agents differ from traditional applications and when agent-based solutions are appropriate. It also covers memory, planning, tool use, and function calling.
- Deploying Dynamics 365 Contact Center – Introduces Dynamics 365 Contact Center, CCaaS, omnichannel engagement, Power Platform environments, Dataverse, application lifecycle management, security roles, capacity profiles, and contact center personas.
- Implementing Channels – Covers chat, voice, digital messaging, interactive voice response, call recording, transcription, context variables, and generative AI orchestration for voice experiences.
- Configuring Agents and AI Capabilities – Explores Copilot, proactive outbound engagement, knowledge management, retrieval-augmented generation, prompt engineering, document grounding, fine-tuning, and Copilot Studio.
- Representative Experience and Productivity Tools – Covers experience profiles, productivity tools, Copilot Service workspace, Microsoft Foundry Agent Service, and Microsoft Agent Framework.
- Responsible AI and Safety in the Contact Center – Explains responsible AI principles, the map-measure-mitigate lifecycle, AI safety risks, system messages, guardrails, prompt attacks, jailbreaks, and content moderation.
- Microsoft Foundry and the Azure AI Platform – Introduces Microsoft Foundry and its tools for building, managing, and governing enterprise AI solutions. It also covers Foundry IQ, Agent Service, Agent Framework, and the Foundry control plane.
- Contact Center Operations and Routing – Covers unified routing, routing strategies, queues, and the distribution of customer conversations and service requests to representatives or AI-powered experiences.
- Contact Center Operations and Administration – Introduces workforce management and contact center analytics for staffing, scheduling, performance monitoring, operational evaluation, and continuous improvement.
The course progressively builds from foundational Azure and AI concepts to Dynamics 365 Contact Center implementation and administration. This structure helps learners understand the underlying technologies and apply them to practical contact center scenarios.
All lectures include professionally created subtitles to enhance understanding.
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