A tailored course, built for your situation
Mastering Power Platform Automation for Enterprise Developers
Build once, deploy across functions, turn point solutions into enterprise-grade systems
Each order is checked and updated against the latest insights before delivery. That is why access takes up to 24 hours rather than being instant.
The situation this course is for
Custom Power Platform solutions often start strong but stall when they hit governance, security, or integration requirements later in the cycle. The result? Rework, delayed rollouts, and missed opportunities to scale. This course eliminates that drag by embedding compliance, reuse, and interoperability into the initial design phase.
Who this is for
Senior Power Platform developers working in global services firms who are expected to deliver scalable, auditable automation but lack formal frameworks to do so efficiently
Who this is not for
Citizen developers just starting with Power Apps, or IT admins focused only on user management and licensing
What you walk away with
- Design Power Automate flows with built-in compliance guardrails that satisfy internal audit standards
- Create reusable component libraries that accelerate future builds across client engagements
- Standardize solution documentation so handoffs to operations or clients take minutes, not days
- Embed role-based access and data lineage tracking at deployment level, not as afterthoughts
- Produce architecture diagrams and control mappings that stand up to senior technical reviews
The 12 modules (with all 144 chapters)
- Defining enterprise-readiness in Power Platform solutions
- Mapping platform capabilities to business process layers
- Setting up consistent naming and versioning standards
- Choosing between canvas apps and model-driven apps strategically
- Managing environments across development, test, and production
- Aligning solution structure with client engagement timelines
- Using solutions as deployment units, not just containers
- Integrating Azure AD groups into role definitions early
- Planning for data growth and retention from day one
- Documenting assumptions and constraints proactively
- Leveraging Common Data Service effectively across use cases
- Avoiding hard-coded values in favor of configuration tables
- Identifying common workflow patterns across client needs
- Creating standardized action flows for frequent tasks
- Designing configurable components using input parameters
- Packaging components as managed solutions for sharing
- Versioning strategies for backward compatibility
- Testing components in isolation before integration
- Building template apps for rapid prototyping
- Using PCF controls to extend functionality uniformly
- Centralizing error handling logic in shared components
- Documenting usage guidelines for team adoption
- Measuring reuse rates across engagements
- Governance for component library maintenance
- Role-based security models in Dataverse
- Implementing field-level security for sensitive data
- Configuring business unit hierarchies correctly
- Using teams instead of individual users for access grants
- Applying row-level security through business rules
- Auditing permission changes systematically
- Integrating with on-premise identity providers securely
- Handling guest user access in hybrid scenarios
- Securing APIs exposed through Power Automate
- Encrypting data at rest and in transit appropriately
- Reviewing security configurations pre-deployment
- Generating audit-ready access reports automatically
- Mapping Power Platform usage to ISO 27001 controls
- Aligning with SOC 2 Type II evidence requirements
- Documenting data processing activities for GDPR
- Meeting NIST SP 800-53 security baselines
- Preparing artifacts for internal audit requests
- Tracking consent and data subject rights workflows
- Logging all user actions for forensic readiness
- Integrating with third-party GRC platforms
- Automating control testing within solutions
- Producing compliance dashboards for stakeholders
- Version-locking compliance documentation
- Updating compliance mappings during platform updates
- Labeling data sources according to sensitivity tiers
- Capturing metadata during solution configuration
- Using AI Builder responsibly with documented training sets
- Tracking data movement across cloud services
- Visualizing end-to-end data flow paths
- Implementing data quality checks at ingestion points
- Flagging PII and regulated data automatically
- Connecting to data catalog tools like Purview
- Enforcing retention policies within flows
- Reporting on data lineage for auditor requests
- Versioning schema definitions alongside solutions
- Alerting on unauthorized data exports
- Defining promotion gates between environments
- Using source control with Azure DevOps or GitHub
- Automating build and release pipelines
- Validating solutions before import
- Rolling back failed deployments safely
- Scheduling off-hours updates to minimize disruption
- Notifying stakeholders of upcoming changes
- Capturing change justification for audits
- Managing dependencies across solutions
- Testing impact of platform updates beforehand
- Freezing configurations during critical periods
- Archiving deprecated solutions properly
- Monitoring API call limits and throttling risks
- Reducing latency in complex Power Automate flows
- Caching frequently accessed reference data
- Optimizing queries against large datasets
- Minimizing network round trips in app logic
- Using parallel branches effectively in flows
- Avoiding infinite loops and recursion traps
- Profiling execution times per action
- Scaling backend systems in tandem with frontend
- Stress-testing before go-live
- Setting performance benchmarks per module
- Alerting on degradation trends
- Integrating with SAP via Logic Apps connectors
- Syncing data with Salesforce objects securely
- Calling legacy APIs using HTTP actions safely
- Using Service Bus for reliable messaging
- Orchestrating multi-system workflows end to end
- Handling authentication across domains
- Transforming data formats between systems
- Managing timeouts and retries gracefully
- Exposing Power Automate flows as reusable APIs
- Consuming external webhooks in real time
- Monitoring integration health continuously
- Documenting interface contracts clearly
- Auto-generating solution inventories from metadata
- Creating architecture decision records (ADRs)
- Diagramming flows and data models visually
- Publishing runbooks for operational teams
- Embedding context directly into solution comments
- Linking requirements to implemented features
- Maintaining changelogs per release
- Exporting documentation in client-friendly formats
- Using Markdown for portable content
- Versioning docs alongside code
- Indexing documentation for searchability
- Training clients on self-service doc access
- Running effective knowledge transfer sessions
- Providing admin training materials
- Setting up monitoring and alerting guides
- Handing over source code and repositories
- Documenting escalation paths and support levels
- Teaching basic troubleshooting techniques
- Building user feedback loops into apps
- Onboarding super-users within client teams
- Transitioning from build to operate mode
- Measuring post-handoff success metrics
- Conducting follow-up health checks
- Capturing lessons learned for future improvements
- Instrumenting apps and flows with telemetry
- Tracking user engagement and feature adoption
- Measuring time saved per process
- Calculating ROI based on effort reduction
- Setting up Power BI dashboards for insights
- Alerting on failures or anomalies
- Logging exceptions for root cause analysis
- Gathering qualitative feedback from users
- Benchmarking against industry norms
- Prioritizing backlog items based on data
- Running retrospectives after major releases
- Iterating based on actual usage patterns
- Developing a center of excellence framework
- Creating standards for citizen developer enablement
- Balancing innovation with risk management
- Influencing procurement decisions around tooling
- Shaping internal training curricula
- Presenting case studies to leadership
- Driving reuse across account teams
- Negotiating platform budgets and licensing
- Representing best practices in client discussions
- Mentoring junior developers on enterprise design
- Contributing to firm-wide digital transformation goals
- Expanding your remit beyond coding to architecture oversight
How this maps to your situation
- Pre-deployment design phase
- Mid-cycle integration challenges
- Post-launch scaling demands
- Client transition and sustainment
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 90 minutes per week over six weeks, with flexibility to complete at your pace.
How this compares to the alternatives
Unlike generic Power Platform tutorials, this course focuses exclusively on enterprise-scale delivery patterns used in global consulting firms , covering compliance, reuse, integration, and handoff rigor missing from most online content.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.