AB-410 : Microsoft Certified Intelligent Applications Builder Associate

• Duration: 3 days

Overview

This course teaches learners how to design and build intelligent applications on the Microsoft Power Platform using AI, copilots, and agents to solve real-world business challenges.

Learners explore how Power Apps, Power Automate, Power Pages, Copilot Studio, and AI-enabled capabilities work together to create agent-first, AI-enhanced solutions that improve productivity, decision-making, automation, and user experience.

What You’ll Learn

• Design AI-powered business solutions using Microsoft Power Platform.
• Apply AI-first solution architecture principles to address business requirements.
• Identify and select appropriate Power Platform components for intelligent application development.
• Create effective prompts using prompt engineering best practices for generative AI tools.
• Use Plans in Power Apps to transform business requirements into solution designs and implementation plans.
• Create and manage Dataverse tables for secure and scalable data storage.
• Configure and maintain columns and data structures within Dataverse.
• Implement security roles and permissions to control access to environments and business data.
• Build intelligent Canvas Apps and Model-Driven Apps using Microsoft Power Apps.
• Develop data-driven websites and portals using Power Pages.
• Integrate Dataverse as the foundation for business applications and workflows.
• Create automated business processes and approval workflows using Power Automate.
• Utilize Dataverse triggers and actions to connect applications and automation.
• Incorporate AI Builder and generative AI capabilities into applications and automated workflows.
• Design agent-first solutions that improve productivity, decision-making, and user experiences.
• Apply governance, security, and responsible AI practices when developing Power Platform solutions.
• Build end-to-end intelligent applications combining AI, automation, data, and user experiences within the Microsoft Power Platform ecosystem.

Who Should Attend

This course is designed for individuals who want to learn how to build intelligent applications using Microsoft Power Platform and are beginning to work with AI, copilots, and agents in solution design.

It is ideal for:

• Power Platform beginners and aspiring developers
• Business application developers
• Business analysts
• IT professionals
• Automation and digital transformation professionals
• Students interested in AI-powered application development
• Professionals involved in designing and improving business processes

Learners should have a general understanding of business processes or application development and want to develop the skills required to analyze requirements, select appropriate Power Platform components, and create AI-enhanced solutions.

The course also introduces how AI and agents can improve application behavior, automation, and user experience while building awareness of governance and responsible AI practices.

Prerequisites

• Basic familiarity with Microsoft Power Platform
• General understanding of business processes is beneficial
• Basic knowledge of applications and data concepts is recommended

Curriculum

Module 01: Design AI-Powered Business Solutions with Microsoft Power Platform

Learn to think like an AI-first solution architect and understand how AI capabilities can be incorporated throughout the Power Platform.

Topics include:

• AI-first solution architecture principles
• Understanding AI capabilities across Power Platform
• Matching business problems to appropriate Power Platform components
• Designing agent-first solutions
• Combining AI, automation, data, and applications
• Designing solutions where agents and automation handle routine activities

Module 02: Create Effective Prompts for Generative AI Tools

Learn the fundamentals of prompt engineering and how to create effective prompts for generative AI capabilities.

Topics include:

• Fundamentals of prompt engineering
• Key elements of an effective prompt
• Prompt structure and context
• Prompt engineering best practices
• Improving the quality and relevance of AI-generated responses
• Applying prompts to business scenarios

Module 03: Turn Business Ideas into Power Platform Solutions with Plans

Learn how to use Plans in Power Apps to transform business requirements expressed in natural language into solution designs and implementation plans.

Topics include:

• Describing business requirements using natural language
• Using AI agents to analyze business requirements
• Generating solution requirements
• Creating data models
• Identifying suitable Power Platform technologies
• Developing implementation plans
• Transforming business ideas into Power Platform solutions

Module 04: Create Tables in Dataverse

Learn how Microsoft Dataverse provides secure and cloud-based data storage for business applications.

Topics include:

• Understanding Dataverse
• Standard and custom tables
• Creating Dataverse tables
• Configuring table properties
• Managing business data
• Using Dataverse as the foundation for Power Platform solutions
• Secure and scalable data management

Module 05: Create and Manage Columns within a Table in Dataverse

Learn how to create, configure, and manage data columns within Dataverse tables.

Topics include:

• Understanding Dataverse columns
• Creating new columns
• Using standardized and existing columns
• Configuring column properties
• Managing data types
• Maintaining data structures
• Designing tables to support business requirements 

Module 06: Get Started with Security Roles in Dataverse

Learn how to configure security roles and permissions to control access to Power Platform environments and Dataverse data.

Topics include:

• Understanding Dataverse security
• Security roles and permissions
• Controlling environment access
• Managing user permissions
• Controlling access to business data
• Configuring permissions to view, edit, and delete data
• Applying security principles to Power Platform solutions

Module 07: Build Intelligent Apps and Portals with Microsoft Power Apps

Build user experiences on top of your Dataverse data using Canvas Apps, Model-Driven Apps, and Power Pages.

Topics include:

• Building Canvas Apps
• Creating Model-Driven Apps
• Connecting applications to Dataverse
• Building data-driven Power Pages websites and portals
• Configuring application experiences for different audiences
• Working with Dataverse-backed applications
• Building internal business applications
• Creating structured and public-facing digital experiences
• Incorporating intelligent capabilities into Power Platform applications

Module 08: Automate and Extend Solutions with AI in Microsoft Power Automate

Learn how to connect Power Platform solutions using intelligent automation with Microsoft Power Automate.

Topics include:

• Creating cloud flows
• Automating business processes
• Using event-driven automation
• Configuring Dataverse triggers and actions
• Connecting automation with Dataverse data
• Building approval workflows
• Routing decisions to appropriate users
• Using AI Builder
• Creating grounded prompts
• Querying Dataverse data using natural language
• Integrating generative AI into applications and workflows
• Building intelligent end-to-end automation solutions

Course Outcome

Upon successful completion of this course, learners will be able to:

• Design AI-first business solutions using Microsoft Power Platform.
• Select appropriate Power Platform components based on business requirements.
• Create effective prompts for generative AI scenarios.
• Use Plans in Power Apps to transform business ideas into application solutions.
• Create and manage Dataverse tables, columns, and data structures.
• Configure security roles and permissions in Dataverse.
• Build intelligent Canvas Apps and Model-Driven Apps.
• Develop data-connected websites and portals using Power Pages.
• Create automated workflows using Power Automate.
• Integrate Dataverse triggers, actions, and AI Builder capabilities into automation.
• Apply AI, automation, data, and agent capabilities to real-world business solutions.
• Apply governance, security, and responsible AI principles when developing intelligent applications.