Technical AIintermediateVideo + quiz

AI for Data Engineers: Build, Test and Document Pipelines Faster

For data engineers and analytics engineers.

26 lessons · 1.7 hours
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What you will be able to do

Draft SQL and dbt models with an AI assistant and test them before trusting themDebug a failed pipeline run with AI and reconcile the resultsExtract typed columns from messy text and run batch model calls within cost limitsDraft cleansing rules, mappings and data quality checks that a person ownsGive an agent read-only warehouse access through MCP and keep personal data out of promptsBuild a tested, documented pipeline in a free lab on DuckDB, dbt Core and a free model

Skills you will gain

  • Text-to-SQL
  • dbt models and tests
  • Structured output extraction
  • Batch model calls
  • Data quality checks
  • Metadata generation

About this course

For data engineers and analytics engineers. Use generative AI to draft SQL and dbt models, extract typed fields from messy text inside a pipeline, propose cleansing rules, mappings and column descriptions, and debug failed runs, without ever shipping a wrong number. Follow a food wholesaler’s supplier returns data from raw files to a tested, documented pipeline, learn where the 2026 warehouse AI features fit, and finish by building the whole pipeline yourself in a free lab on DuckDB, dbt Core and a free model.

Technical AI

Curriculum

8 modules · 26 lessons · 1.7h

Requirements

SQL, joins and group by included
A short Python script you can read and run
Python 3.10 to 3.13 and a terminal
A habit of checking totals

What you walk away with

A Yallo AI academy certificate of completion, issued when every lesson is complete and the final assessment is passed at 70% or aboveA public verification page, so a stranger can check the certificate without asking you for a filePDF download, and a one-click share to your LinkedIn profile

Yallo AI academy certifies completion of

AI for Data Engineers: Build, Test and Document Pipelines Faster