The Solution Architect is responsible for the successful design, implementation, deployment and adoption of an overall solution. The Solution Architect ensures that the solution meets the customer’s needs now and in the future. In this course, students will learn about decisions a Solution Architect makes during an implementation, covering security, integrations, Power Apps architecture, Power Automate architecture, and more. This course is designed to give you an introduction to the Solution Architect role.
Senior Consultants (both functional and technical) that aspire to be Solution Architects, or current Solution Architects that are new to the role.
1 - Becoming a solution architect for Dynamics 365 and Microsoft Power Platform
Existing product and platform skills
Expectations of a solution architect
Solution architect role during project phases
Pillars of a great architecture
2 - Discover customer needs as a Solution Architect for Dynamics 365 and Microsoft Power Platform
Initial customer discovery
Customer discovery meetings
Customer communication strategy
3 - Propose a solution as a Solution Architect for Microsoft Power Platform and Dynamics 365
Identify solution components
Develop and validate a demo
Identify potential third-party components
Recognize strengths and weaknesses in a solution
4 - Work with requirements for Microsoft Power Platform and Dynamics 365
Lead requirement capture sessions
Identify functional requirements
Identify non-functional requirements
Confirm and finalize requirements
5 - Perform fit gap analysis
Determine feasibility of requirements
Refine requirements from proof of concept insights
Categorize business requirements and perform gap fit analysis
Evaluate Dynamics 365 and Microsoft Power Platform apps
6 - Solution Architect series: Implement project governance for Power Platform and Dynamics 365
Project governance
Solution architect’s role in project governance
Techniques for keeping a project on track
Work as a team
7 - Solution Architect series: Power Platform architecture
Environments
Environment data location
Work with data
Custom logic
Platform limits
High availability and disaster recovery considerations
8 - Solution Architect series: Explore Power Apps architecture
Common app patterns
App composition
Components
Optimize canvas apps
Microsoft Teams and Power Apps
Portal apps
9 - Explore Power Automate architecture
Triggers
Common actions
Error handling
Best practice
Business process flows
10 - Solution architect series: Explore Microsoft Copilot Studio
Agent building options
Agent concepts
Best practices
Integrate agents
Microsoft Copilot Studio in Teams
11 - Solution architect series: Explore robotic process automation
Power Automate for desktop
Record and edit tasks
Run desktop flows
Process advisor
12 - Solution architect series: Model data for Power Platform solutions
Common Data Model
Data modeling
Choose a data store
Data modeling for Dataverse
Best practices for Dataverse
Architecture of Fabrikam data model and devices
Report data and handle primary visitors
Handle visitors, waivers, and photos
Example data model solution
13 - Solution architect series: Model security for Power Platform solutions
Environment security
Data loss prevention
Access to Dataverse
Security in apps
14 - Solution Architect series: Evaluate Power Platform analytics and AI
Power Platform reporting capabilities
Power BI overview
Data requirements
Power BI and Power Platform
Dataflows
AI
15 - Solution Architect series: Implement integrations with Power Platform
Integration challenges
Inbound data integration
Outbound data integration
16 - Solution Architect series: Plan application lifecycle management for Power Platform
Key considerations for ALM
Solutions
Configuration and reference data
Release process
ALM with Azure DevOps
17 - Solution Architect series: Testing and go-live
Plan for go-live
Data migration
Plan for go-live
18 - Becoming a solution architect for Dynamics 365 and Microsoft Power Platform
Existing product and platform skills
Expectations of a solution architect
Solution architect role during project phases
Pillars of a great architecture
19 - Design a semantic model in Power BI
Work with tables
Create a date table
Work with dimensions
Define data granularity
Work with relationships and cardinality
Resolve modeling challenges
20 - Challenge project - Create Microsoft Power Platform solutions
Prepare
