Data + AI
Data Engineering + AI
SQL, Python, data pipelines, cloud data platforms and RAG pipelines.
16 weeks Intermediate
Online LiveRecorded Course
How to Become a Database / Data Engineer
Every application needs data.
With AI: AI-Ready Data Engineer
What You Do
- Design data structures
- Manage data stores
- Build data pipelines
- Maintain data quality
- Support analytics and applications
Core Skills
- SQL
- PostgreSQL
- MySQL
- SQL Server
- MongoDB
- Redis
- Python
- Data pipelines
AI Advantage
- Embeddings
- Vector search
- Vector databases
- RAG pipelines
- Metadata & data quality
Fundamentals + AI, Not AI Instead of Fundamentals
AI can generate code, SQL, scripts, test cases and documentation, but a Database / Data Engineer still needs strong fundamentals and the judgement to verify AI output. Start with your role, build fundamentals, add AI, build projects and keep learning.
Courses to Become a Database / Data Engineer
Data + AI
Data Science + AI
Python, statistics, machine learning and Generative AI for data.
22 weeks Beginner to Advanced
Online LiveRecorded Course