Training · Microsoft Power Platform
The Power Platform is the most rewarding Microsoft investment for any company — when the users know what they are doing. Our trainings take citizen developers, power users, administrators, and pro developers to productive results. MCT-certified trainers, with your Dataverse, your connectors, your requirements.
Microsoft Power Platform is today the most productive low-code platform on the market — and at the same time the most underestimated. Many mid-sized companies use Power BI as a reporting tool and Power Automate for a few SharePoint workflows, without seeing the strategic leverage of the platform: own business applications without classic development budgets, RPA automation of legacy processes, external portals with Dataverse backend, Copilot agents on own knowledge sources. To realize the potential, you need structured learning — not just feature demos.
Our Power Platform trainings have been on the road in DACH since 2019 and rest on an unusual combination: MCT certification (we actively maintain the Microsoft curricula), active solution architecture in real projects, and our own Power Platform governance solution devonso. That means: you learn the official Microsoft methods but also the real stumbling blocks we know from 200+ Power Platform implementations.
We train role-specifically in four levels: user (app consumer), citizen developer (own apps and flows), pro developer (complex solutions with custom connectors and plugins), and administrator (tenant and environment responsibility). Each level has its own curriculum with its own learning depth — and the transition between levels is explicitly a training topic. Many power users fail in the jump to citizen developer not on technology but on missing structure. We deliver both.
What this training covers
The entire Power Platform, from citizen developer to pro developer.
Canvas apps for mobile- and tablet-oriented applications. Model-Driven apps for Dataverse-centric business applications. Power Fx as a formula language. Component libraries. With real application scenarios from your company.
Cloud flows for online automation across Microsoft and third-party connectors. Desktop flows for RPA automation of legacy systems. Process mining for process analysis before automation.
Data modeling (tabular model, star schema), DAX, Power Query, visualization, Power BI Service, datasets, apps, premium capacities, and Fabric integration. Training focus for analysts, developers, and admins.
External web portals on a Dataverse backend. Identity provider integration (Entra ID B2C, Authentik), page templates, web roles, Liquid templates. For customer, partner, or vendor portals without classic web development.
The foundation of the Power Platform: tables, relationships, choice lists, security roles, business rules, workflows. Those who understand Dataverse build better apps and flows. Including license-relevant consequences.
Power Platform admin center, environment concept, DLP policies, solutions, ALM pipelines, license control. With our governance solution devonso as reference for scalable tenant strategies.
Three formats
Format matched to team size, learning depth, and budget.
At your site or remote, with your tenant, your Dataverse, your connectors.
Fixed annual day quota, flexibly callable — ideal for citizen-developer communities with continuous learning needs.
Classic one-day training from the catalog — online or classroom.
Training topics in detail
Power Fx is the formula language of the Power Platform — modeled on Excel but with a modern data model underneath. The most common beginner mistake: writing Power Fx like VBA or JavaScript. We train the declarative logic: when do you use ForAll, when Filter, when LookUp — and why performance differs dramatically. Including the typical delegation traps (Filter works locally but not on SharePoint lists over 2,000 records).
Many Power Apps beginners start with SharePoint lists as a data source — and hit growth limits after three months. We train the decision framework: when is Dataverse the right data source, when does SharePoint suffice, when do you need a classic SQL backend? And when Dataverse: how do you model tables, relationships, choice lists, and security roles so the system is still sustainable after three years?
Cloud flows automate online systems through connectors — fast, scalable, license-controlled. Desktop flows (RPA) automate legacy systems through GUI control — powerful but maintenance-heavy. Who needs what when? We train both worlds and the architecture decision behind it. Including process mining, which can prepare both worlds with data.
Many Power BI reports look superficially good but collapse with real data volume or new questions. Reason: weak data model. We train the star schema systematically — fact tables, dimension tables, relationship directions, calculation groups in DAX, performance tuning with DAX Studio. Plus the strategic decision Power BI Pro vs. Premium vs. Fabric.
The most common Power Platform crisis in the mid-market: 300 apps, 800 flows, 12 Power BI workspaces, no one knows anymore what runs, what connectors consume premium licenses, what processes GDPR-relevant data. We train the governance model from the start — environment concept (Dev/Test/Prod), DLP policies, solutions strategy, license control. With our own solution devonso as a practical example of scalable governance.
Typical questions from participants
Answer: delegation. Some functions (StartsWith, In, sorting by certain fields) do not delegate against SharePoint lists over 2,000 records. Power Apps then only fetches the first 500 (or configured) records and filters locally — which confuses the user. We show the delegation warning markings and which functions delegate per data source.
Answer: the license logic has multiple tiers — the Microsoft 365-included flows (standard connectors), the premium connectors (per user or per flow), the process mining licenses, the RPA licenses (attended/unattended). We walk through the real costs against your flow scenarios — many mid-sized companies discover here that they need premium connectors without knowing it.
Answer: premium capacities are tenant-wide and can be split between workspaces. With Microsoft Fabric Capacity, the model has fundamentally changed in 2024 — pay-as-you-go capacities can be paused and then cost nothing. We show the sizing logic with real workload data.
Answer: yes, as soon as more than one person works on Power Platform solutions. Without solutions, there is no clean deployment between environments, no ALM, no controlled rollback. We train managed vs. unmanaged solutions and which workflow is practical for mid-sized companies.
Answer: DLP policies (Data Loss Prevention) classify connectors into Business / Non-Business / Blocked. We train the policy architecture and which connectors are typically problematic (Twitter/X, RSS, third-party CRMs without contract).
FAQ
Power Apps (Canvas, Model-Driven), Power Automate (cloud, desktop/RPA), Power BI, Power Pages, Dataverse, Copilot Studio, governance/admin. All trainers are MCT-certified.
In-house as daily rate for the entire group, standard trainings per format indication, training subscription as annual quota. Pricing on request.
Citizen developer = business unit without code background. Pro developer = IT pros. We train both roles with different curricula.
Beginner 2 days, advanced 2 days, citizen-developer curriculum 3 days, solution architect 4–5 days.
Yes — own focus, with our governance solution devonso. Typically 2–3 days for admins plus compliance owners.
Related
Background on the platform: architecture, components, license models, governance.
Copilot Studio on the Power Platform — agent development for own use cases.
SharePoint and Teams as data sources and hosting targets for Power Platform solutions.
After the training, maintain your Power Platform application as a flat rate — including license monitoring.
Request Power Platform training
30-min initial conversation with an MCT trainer — we clarify topic scope, role mix, format, and price. Concrete offer promptly.
