Microsoft Fabric
Develop the skills to build a Fabric ingestion-to-report workflow through a learning path centred on Microsoft Fabric. Explore concepts, guided practice and an applied project.
Build practical Microsoft Fabric skills.
Skills and knowledge developed in this course.
- Fabric workspace model
- Ingestion and storage
- Transformation and analytics
- Governance and delivery
- Applied project: Build a Fabric ingestion-to-report workflow
- Microsoft Fabric — validation and review
About this course
This course develops practical capability in Microsoft Fabric. Its course-specific content covers Fabric workspace model, Ingestion and storage, Transformation and analytics, Governance and delivery, followed by an applied project focused on build a fabric ingestion-to-report workflow. The lessons include concrete configuration, design, testing or operational decisions appropriate to the subject.
Who this is for
Administrators, developers and practitioners who work with Microsoft Fabric or plan to take on responsibilities in this area.
Before you start
Basic computer literacy and a foundational understanding of data engineering & analytics. Prior experience with the named product helps with the practical exercises.
Build a Fabric ingestion-to-report workflow
Deliver build a fabric ingestion-to-report workflow. Use the module outcomes to state requirements, demonstrate a working result, test an expected failure or boundary case, and document assumptions and follow-up work.
Course content
Course-specific syllabus and practical exercises. Lab release, access arrangements and final delivery scope are confirmed before enrolment.
01Fabric workspace model
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- Capacity, workspace and item boundaries
- OneLake and data-access concepts
Practical exerciseApply fabric workspace model to the build a fabric ingestion-to-report workflow and capture the validation evidence.
02Ingestion and storage
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- Dataflows, pipelines and lakehouse choices
- Warehouse and shortcut use cases
Practical exerciseApply ingestion and storage to the build a fabric ingestion-to-report workflow and capture the validation evidence.
03Transformation and analytics
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- Notebooks, SQL and semantic models
- Incremental processing and validation
Practical exerciseApply transformation and analytics to the build a fabric ingestion-to-report workflow and capture the validation evidence.
04Governance and delivery
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- Permissions, lineage and deployment workflows
- Refresh monitoring and capacity-cost review
Practical exerciseApply governance and delivery to the build a fabric ingestion-to-report workflow and capture the validation evidence.
05Applied project: Build a Fabric ingestion-to-report workflow
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- Define inputs, assumptions and acceptance criteria for: Build a Fabric ingestion-to-report workflow.
- Implement the project using fabric workspace model, ingestion and storage, transformation and analytics, governance and delivery.
Practical exerciseBuild a Fabric ingestion-to-report workflow.
06Microsoft Fabric — validation and review
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- Demonstrate the completed project against its acceptance criteria.
- Exercise an invalid-input or failure scenario and document the observed result.
Practical exercisepresent the project evidence, limitations and a repeatable handover.
Technical references
These primary vendor, project or standards sources inform this independent IT Purview outline. Reference pages checked 25 October 2026; current provider documentation and exam objectives take precedence when versions change.
From understanding to application.
Progress by learning milestone. The schedule is agreed around your starting level and learning goals.
- 01Learning milestone 1 In progress
Set the context
Fabric workspace model · Ingestion and storage
Establish the Microsoft Fabric scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Transformation and analytics · Governance and delivery
Apply the core Microsoft Fabric techniques in the course lab and record the result. - 03Learning milestone 3 In progress
Validate and handle exceptions
Check expected behavior, investigate a failure case and capture evidence for build a fabric ingestion-to-report workflow. - 04Learning milestone 4 In progress
Deliver the applied project
Complete build a fabric ingestion-to-report workflow, explain key decisions and identify a practical next step.
Career outlook after this learning path
Typical roles this roadmap can support, with broad salary ranges by relevant work experience.
| Role | 0–3 years | 3–7 years | 7–12+ years |
|---|---|---|---|
| Data Engineer | ₹8–15 LPA | ₹17–28 LPA | ₹29–50 LPA |
Ranges are indicative India-market compensation estimates in ₹ lakh per annum, not a salary promise. They reflect broad market guides and vary by location, employer, skills and role scope; the experience bands refer to relevant work experience, not time since training. Completing this course does not guarantee employment, a role, compensation or career progression. View market reference ↗