FA-0363Agentic & Generative AIAI for Leaders & BusinessAutomation, RPA & Power Platform

Power Platform Mastery

Build, Automate & AI‑Enable

Introduction

Why this course

From App Concept to Intelligent Automation in 3 Days

The way we build software solutions is changing dramatically. Low-code platforms like Power Apps and Power Automate are putting the power to create directly into the hands of people who understand business problems best—no lengthy development cycles or complex coding required. When you add AI and Copilot into the mix, it's like having a skilled partner working alongside you, suggesting solutions and helping bring your ideas to life faster than ever before.

Over three intensive days, you'll learn to harness these powerful tools with guidance from someone who's spent more than three decades solving real business challenges in enterprise environments. Together, we'll build applications that actually work, automate the processes that eat up your team's time, and explore how AI can make your solutions smarter and more intuitive.

This isn't about learning abstract concepts—it's about developing practical skills you can use immediately. Whether you're looking to streamline operations, solve persistent workflow problems, or create tools that make your colleagues' lives easier, you'll walk away with the confidence and know-how to make it happen.

Learning outcomes

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

Design and build Canvas and Model‑driven Power Apps tailored to business needs
Create and manage complex flows in Power Automate with conditions, approvals, and enterprise-grade governance
Seamlessly integrate Power Apps with Power Automate for event-driven automation
Leverage AI Builder and Copilot to automate document processing, natural‑language scripting, and pattern detection
Understand governance, monitoring, and AI‑capacity administration in Power Platform
Deploy intelligent workflows that use generative AI and natural language capabilities within enterprise processes

Prerequisites

Basic familiarity with Microsoft 365 and Azure environments
Comfort using SharePoint, Excel, and Dataverse / CDS
Understanding of basic concepts in app logic and automations
Access to Power Apps and Power Automate via Microsoft 365 or trial account

Training outline

9 modules

011. Power Apps Foundations5 topics

Overview of Power Platform ecosystem and roles of Power Apps & Power Automate
Differences and use cases: Canvas vs Model‑driven apps
Power Apps Studio environment, navigation, and components
Built-in connectors: SharePoint, Dataverse, SQL, Teams
Working with forms, galleries, controls, variables, collections, formulas

022. Advanced App Functionality5 topics

Data integration: APIs, Dataverse relationships, and external sources
Complex screen navigation and app state management
Optimizing performance in Canvas apps
Embedding apps into SharePoint/Teams
Security fundamentals: Environments, roles, and permissions

033. Introduction to Power Automate4 topics

Flow types: Automated, Instant, Scheduled, Desktop, and Business Process Flows
Creating flows with triggers, conditions, loops, and actions
Error handling, concurrency controls, and run history insights
Building approval-based workflows with built-in connectors

044. Power Apps & Power Automate Integrated Workflows3 topics

Triggering flows from Power Apps and returning data/results
Practical end‑to‑end exercise: Submit, approve, and notify app
Case study: modern approvals via Dataverse row triggers

055. Bringing in AI Builder3 topics

Overview: AI Builder models and use cases
Text classification, form processing, object detection in workflows
Hands-on: Build a form processing model and integrate it into Power Automate

066. Copilot & Generative AI in Power Platform3 topics

New AI features in 2025: Copilot, prompt-builder, custom model access
Natural-language flow creation & AI-driven script transformations
Use-cases: From “When invoice arrives…” to full approval & category flow

077. Deep Reasoning and Agentic Automation3 topics

Overview of agentic AI and its relevance in workflows
Microsoft’s Deep Reasoning agents in Copilot for data and research
Practical setup of an AI‑augmented automation with self‑correcting logic

088. Governance, Monitoring & AI Management3 topics

Admin interface and environment controls for AI Builder
Flow governance: Monitoring, concurrency, auditing
Using automation center and diagnostic tools in Power Automate

099. Real‑World Scenarios & Roadmap4 topics

Cross-platform integration: Teams, Power BI, Azure services
Performance tuning and handling large data sets
Best practices from the field—common pitfalls and production-ready patterns
Roadmap: Wave 1 updates (AI governance, custom generative models, document intelligence)

This in-depth structure ensures you leave with not only a solid understanding but also practical, AI-enhanced solutions you can implement immediately.

A programme built around your team.

Share your training goals and requirements.