What can you build with Data & AI?
Modern analytics rely on Python script schedulers, dbt frameworks, and AI vector search APIs. This track represents the "glue" that binds cloud infrastructure to insights. As a Data & AI Engineer, you will build:
- SQL Transformation Models: Write tests, models, and data documentation parameters in dbt (Data Build Tool).
- Batch & Live ingestion scripts: Program custom data extraction files using Python and Pandas.
- AI integration: Configure vector databases (Pinecone / Pgvector) and prompt LLMs to extract insights from text fields.
Official Certifications & Resources
dbt Certified Developer
Industry-standard certificate confirming SQL modeling capabilities, tests setup, and repository branching.
Curated Video Material
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4h 10m
Learn Advanced SQL for Data Engineers and Analysis
Instructor: freeCodeCamp / Alex The Analyst
Watch on YouTube →►
6h 35m