dbt
Develop the skills to build a tested and documented SQL transformation project through a learning path centred on dbt. Explore concepts, guided practice and an applied project.
Build practical dbt skills.
Skills and knowledge developed in this course.
- dbt project model
- SQL transformation
- Quality and documentation
- Delivery workflows
- Applied project: Build a tested and documented SQL transformation project
- dbt — validation and review
About this course
This course develops practical capability in dbt. Its course-specific content covers dbt project model, SQL transformation, Quality and documentation, Delivery workflows, followed by an applied project focused on build a tested and documented sql transformation project. 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 dbt 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 tested and documented SQL transformation project
Deliver build a tested and documented sql transformation project. 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.
01dbt project model
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- Profiles, targets and model structure
- Sources, refs and dependency graphs
Practical exerciseApply dbt project model to the build a tested and documented sql transformation project and capture the validation evidence.
02SQL transformation
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- Staging, intermediate and mart models
- Materialisations and incremental strategy
Practical exerciseApply sql transformation to the build a tested and documented sql transformation project and capture the validation evidence.
03Quality and documentation
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- Data tests and freshness checks
- Descriptions, lineage and generated documentation
Practical exerciseApply quality and documentation to the build a tested and documented sql transformation project and capture the validation evidence.
04Delivery workflows
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- Environment separation and CI checks
- Version control, deployment and failed-run investigation
Practical exerciseApply delivery workflows to the build a tested and documented sql transformation project and capture the validation evidence.
05Applied project: Build a tested and documented SQL transformation project
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- Define inputs, assumptions and acceptance criteria for: Build a tested and documented SQL transformation project.
- Implement the project using dbt project model, sql transformation, quality and documentation, delivery workflows.
Practical exerciseBuild a tested and documented SQL transformation project.
06dbt — 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
dbt project model · SQL transformation
Establish the dbt scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Quality and documentation · Delivery workflows
Apply the core dbt 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 tested and documented sql transformation project. - 04Learning milestone 4 In progress
Deliver the applied project
Complete build a tested and documented sql transformation project, 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 ↗