The Microsoft Certified: Intelligent Applications Builder Associate (AB-410) certification validates a professional’s ability to design, build, and implement AI-powered business applications using Microsoft Power Platform. It focuses on developing intelligent, well-governed low-code solutions that bring together Dataverse data models, canvas and model-driven apps, Power Automate flows, Copilot, and AI agents to solve real business problems.
As organizations embed AI more deeply into everyday business tools, they increasingly need professionals who can go beyond basic app building and design solutions that reason, automate, and adapt using generative AI. AB-410 candidates are expected to translate business requirements into Power Platform solutions that improve productivity, streamline processes, and responsibly incorporate AI capabilities. AB-410 succeeds the retiring PL-200: Power Platform Functional Consultant Associate certification, shifting the focus from configuring a single feature to building AI-first applications across the full platform.
This video training course provides a structured and comprehensive learning path for the AB-410 certification. It begins with essential Microsoft Power Platform and artificial intelligence concepts before progressing into Dataverse data modeling, canvas and model-driven app development, Power Pages, Copilot and agent integration, business logic and automation, and application lifecycle management.
Throughout the course, learners develop conceptual knowledge of Microsoft Power Platform, Microsoft Dataverse, Power Apps, Power Automate, Power Pages, Microsoft Copilot Studio, and AI Hub. The course explains how these platforms and services work together to support intelligent applications where natural language prompts, low-code tools, and AI agents combine to extend what business users and developers can build.
This course contains the following lessons:
- Introduction – Azure history, cloud computing basics, shared responsibility, resource groups, and an intro to Power Platform and intelligent applications.
- AI Foundations for Intelligent App Builders – AI fundamentals, Azure AI services, AI Hub and models, and responsible AI principles.
- Generative AI & Model Design -Prompt-to-response app flow, chat vs. completion inference, model selection, and prompt templates.
- AI Agents & Copilot Studio – What AI agents are, memory and tool use, and an intro to Copilot and Copilot Studio.
- Prompt Engineering, RAG & AI Optimization – Prompt engineering, RAG, fine-tuning, and cost/latency/accuracy tradeoffs.
- Responsible AI & Safety Controls – The map-measure-mitigate lifecycle, safety risks, guardrails, and moderating AI input/output.
- Azure Language & Document Intelligence – NLP vs. generative AI, Azure AI Language, and Document Intelligence for structured data extraction.
- Azure Vision & Speech – Core Azure AI Vision and Speech capabilities.
- Microsoft Foundry Platform – Foundry, Foundry Local, the control plane, Foundry IQ, and Agent Service/Framework.
- Power Platform Core Concepts – Environments, Dataverse tables and relationships, security model, business rules/process flows, and ALM.
- Power Apps: Model-Driven and Canvas Apps – Model-driven and canvas apps, Power Fx, forms/dashboards, and Power Pages.
- Power Automate and Business Automation – Cloud flows, triggers, connectors, approvals, and conditions/loops.
The course progressively builds from foundational Power Platform and AI concepts to intelligent application development, business logic automation, and governance. This structure helps learners understand the underlying technologies and apply them to practical, AI-powered business scenarios.
All lectures include professionally created subtitles to enhance understanding.
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