edX
edXWeb Applications and Command-Line Tools for Data Engineering
29 studentsBEGINNEREnglish
Korshub's take
Data Engineering: From Notebooks to Production
Modern data engineering spans multiple environments and tools. This course connects them: Jupyter notebooks for analysis deployed on cloud platforms (Colab, SageMaker), FastAPI microservices for scalable APIs, containerization for portability, and CLI tools in Python and Rust. You'll also automate testing and publishing, turning experiments into reliable systems.
Practical focus means you leave with working examples for your own data pipelines.
About this course
In this practical course, you'll gain essential skills for modern data engineering:
- Build interactive Jupyter notebooks for data analysis and machine learning
- Deploy notebooks on cloud platforms like Google Colab and AWS SageMaker
- Construct scalable Python microservices using FastAPI
- Containerize and deploy machine learning microservices
- Create robust command-line tools in Python and Rust
- Automate testing and publishing of your data engineering projects
Whether you're a data engineer, scientist, or analyst, this course will level up your abilities to build powerful data solutions. Get hands-on experience with cutting-edge tools and techniques you can apply on the job.
Price
$449
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