Course Code:
powerplatform
Duration:
35 hours
Prerequisites:
- Basic understanding of business processes
- Basic IT and database knowledge
Audience
- IT professionals
- Data analysts
- Business analysts
Overview:
Microsoft Power Platform is a suite of business applications that enables individuals and organizations to analyze data, automate processes, and create custom applications in a low-code environment.
This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to use Power Platform to effectively automate processes and enhance data insights.
By the end of this training, participants will be able to:
- Develop and customize applications using Power Apps.
- Manage and analyze data with DataVerse and Power BI.
- Automate complex processes with Power Automate.
- Design and deploy intelligent chatbots using Power Virtual Agents.
- Integrate and optimize workflows across the Power Platform suite.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline:
Introduction to Microsoft Power Platform
- Overview of Power Platform
- Key components and their interactions
- Setting up the environment
- Overview of common data service (DataVerse)
- Understanding connectors and integrations
Power Apps
- Introduction to Power Apps
- Types of Power Apps (Canvas, Model-driven, and Portal)
- Planning and setting up an app environment
- Designing user interfaces
- Integrating data sources
- Using formulas and controls
- Data modeling basics
- Form customization and business rules
- Automated workflows
- Using custom connectors
- Integration with other Power Platform components
- Monitoring and analytics
Power Automate
- Overview of automation capabilities
- Different types of flows (Automated, Button, Scheduled, and Business process flows)
- Triggering events and actions
- Working with expressions and conditions
- Error handling and debugging
- Using AI Builder
- Handling approvals and complex processes
- Best practices for efficient flows
DataVerse
- Introduction to DataVerse
- Architecture and data management
- Security modeling
- Creating and managing entities
- Relationships and data integrity
- Using calculated fields and roll-up fields
- Customizing forms, views, and dashboards
Power BI
- Fundamentals of Power BI
- Data sourcing and preparation
- Building datasets and data models
- Designing effective dashboards
- Sharing insights across the organization
- DAX and advanced data modeling
- Administration and workspace management
Power Virtual Agents
- Introduction to Power Virtual Agents
- Planning and creating bots
- Understanding the authoring canvas
- Integrating bots with data sources
- Handling user inputs and outputs
- Using AI to enhance bot capabilities
- Monitoring and analyzing bot performance
Summary and Next Steps
Sites Published: