FA-0253Agentic & Generative AIAI for Leaders & BusinessAutomation, RPA & Power Platform

Intelligent Automation with Power Platform

Power Apps, Power Automate & AI-Driven Copilots in 3 days

Introduction

Why this course

Build smarter apps, automated workflows, and AI-enhanced business solutions with natural language, prompt engineering and model training.

This course equips professionals with the skills to harness Microsoft’s Power Platform for productivity and automation. It goes beyond traditional low-code app building and workflow automation by integrating Copilot and AI Hub capabilities, enabling users to create AI-augmented apps and automations using natural language, train and deploy custom models, and design intelligent AI prompts that can be embedded in apps and flows.

Attendees will learn real-world techniques that drive measurable business outcomes — not just theory — taught by an instructor with over 30 years of industry experience. The course emphasizes practical, demanding industry content to empower participants to build solutions that automate complex processes and enhance decision-making through AI.

Learning outcomes

By the end of this 3-day course, participants will be able to:

Explain the architecture and components of Microsoft Power Platform and how AI capabilities fit within it.
Create low-code business applications with Power Apps using both canvas and model-driven approaches.
Build automated workflows in Power Automate including triggers, actions and integration with AI Builder and Copilot.
Use Copilot in Power Apps and Power Automate to generate apps and flows through natural language prompts.
Navigate and leverage the Copilot/AI Hub to manage AI features and adopt AI-centric governance and insights.
Train and customize AI models and build reusable prompt components to integrate generative AI into solutions.
Apply Power Fx and AI Builder to insert AI-driven intelligence into apps and flows.
Deploy solutions that boost productivity, improve business outcomes, and support data-driven decision-making.

Prerequisites

Participants should have:

Basic understanding of business processes and automation concepts.
Familiarity with Microsoft 365 and cloud applications.
Desire to work with Power Platform and AI-enabled tools.
A laptop with access to a Power Platform environment (Power Apps, Power Automate, Dataverse).

Training outline

14 modules

01Overview of Power Platform and AI Integration2 topics

Introduction to Microsoft Power Platform
- Components: Power Apps, Power Automate, Power BI, Power Pages
- Power Platform ecosystem and governance
What is Generative AI in Power Platform
- Overview of Copilot in Power Platform
- AI Hub / Copilot Hub central admin and monitoring
- Responsible AI and security considerations

02Power Apps Fundamentals3 topics

Power Apps Studio and app types
- Canvas apps
- Model-driven apps
Dataverse essentials
- Tables, relationships, security
Building basic UI and business logic
- Screens, controls, forms, galleries
- Power Fx fundamentals

03Copilot in Power Apps3 topics

Introduction to Copilot in Power Apps
- Natural language driven app creation
- Generating tables and screens from business descriptions
Using Copilot for editing and enhancing apps
- Modifying controls and formulas
- Contextual suggestions and optimization
Enabling Copilot chat in model-driven apps
- Configuration settings
- Interactive use cases

04AI Builder in Power Apps3 topics

AI Builder models: prebuilt and custom
- Sentiment, text extraction, classification
Adding AI components to canvas apps
Using Power Fx with AI models in apps

05Power Automate Fundamentals2 topics

Creating workflows and automation
- Triggers, actions, connectors
- Cloud flows vs. desktop flows
Introduction to AI Builder in Power Automate
- Adding intelligence to flows
- Using prebuilt AI models

06Copilot in Power Automate4 topics

Generating flows with natural language
Copilot in automation center
Using Copilot to analyze and fix errors
Desktop automation and Copilot

07Integrating Apps and Flows3 topics

Passing data between Power Apps and Power Automate
Building end-to-end automated solutions
Error handling and debugging

08AI Hub and Copilot Management3 topics

Overview of Copilot/AI Hub capabilities
- Monitoring usage, governance, insights
Configuring AI settings and environment governance
AI feature adoption best practices

09Prompt Engineering and Custom Prompts3 topics

Introduction to prompts and their role
Using AI Hub / Copilot Studio to build prompts
- Defining input variables and dynamic content
- Testing and validating prompts
Incorporating prompts into apps and flows

10Model Training and Custom AI Models3 topics

Creating and training custom AI models
- Understanding model types and use cases
Using “bring your own model” for advanced scenarios
Lifecycle: train, test, deploy, monitor

11Copilot Studio and Agent Creation3 topics

Copilot Studio fundamentals
- Creating AI agents
- Agent flows and integration with Power Automate
Building conversational and task agents
Dynamic functionality and Power Fx in Copilot Studio

12Productivity and Automation Best Practices3 topics

Design patterns for scalable automation
Reusability strategies
Performance and monitoring

13Solution Deployment and Governance3 topics

Packaging and deploying solutions
Dataverse security and licensing considerations
Monitoring AI usage and cost

14Hands-On Labs and Real Use Cases4 topics

Build a complete Power Apps solution with AI insights
Automate a business process using Copilot generated flows
Train a simple AI model and apply it across apps and flows
Build a custom prompt and integrate it into a productivity solution

A programme built around your team.

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