Course Syllabus

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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.



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Course Summary
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