Engineering programme
Data Engineering with Microsoft Fabric
Engineers design and ship data pipelines on Microsoft Fabric, from lakehouse to governance.
- Duration
- 6 weeks
- Delivery
- On-site or virtual
- Fee
- From ₦580,000 per learner
The gap this programme closes
Scattered data and fragile pipelines mean the organisation cannot fully trust its own numbers.
What the programme builds
This programme builds engineers who design and ship modern data pipelines on Microsoft Fabric, end to end: lakehouse, ingestion, transformation, semantic models and governance.
What it covers
- Lakehouse
- Ingestion
- Transformation
- Semantic models
- Governance
Who it is for
- For
- Technical officers and managers
- Level
- Engineering
- Team size
- Teams of 10 or more
We fit each programme to your sector's data, workflows and regulatory context, and deliver it on-site at your offices or virtually.
How a programme runs
1. Scope. A call on the capability gap, the team and the timeline.
2. Design. We fit the curriculum to your sector's data, workflows and regulatory context.
3. Deliver. Hands-on sessions on-site or virtual, over two to six weeks.
Commissioned by
Quick answers
Who is Data Engineering with Microsoft Fabric for?
Data Engineering with Microsoft Fabric is a engineering programme for technical officers and managers. Programmes run for teams of 10 or more.
How long does it run?
Data Engineering with Microsoft Fabric runs for 6 weeks, on-site or virtual.
What does it cost?
From ₦580,000 per learner. Programmes are priced per learner and run for teams of 10 or more.
Can you tailor it to our industry?
Yes. We fit each programme to your sector's data, workflows and regulatory context. We work with organisations in financial services, energy, telecommunications and the public sector.
Where do you deliver?
We are based in Lagos and deliver on-site at your offices or virtually.
How do we start?
Request a proposal or book a scoping call. We scope the programme around your team, your context and your timeline.
Other programmes
Workshop
AI Workflows for Teams
Each participant leaves with a working skill, its connectors and one task running end to end in the AI assistant the team already pays for.
Foundation
AI Fluency
Every team uses AI tools confidently, consistently and responsibly in daily work.
Foundation
Data Analysis with Microsoft Excel
Analysts clean, model and report from Excel with rigour.
Practitioner
Decision-Making with Power BI
Practitioners model data, write the DAX that counts and build dashboards executives rely on.
Practitioner
SQL for Data Practitioners
Teams query data warehouses with confidence: joins, aggregations, window functions and performance basics.
Practitioner
AI Builder Studio
Non-engineers design, build and ship AI tools and workflow automations on no-code platforms.
Engineering
AI Engineering Forge
Engineers take AI systems from pilot to production: LLM integration, retrieval, agents, evaluation and deployment.
Tell us the capability gap you need to close
We will scope a programme around your team, your context and your timeline.