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Web Applications and Command-Line Tools for Data Engineering

This course is part of Python, Bash and SQL Essentials for Data Engineering.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Python, Bash and SQL Essentials for Data Engineering Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.3

(33 ratings)

4,072 already enrolled

Instructors:

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Web Applications and Command-Line Tools for Data Engineering

This course includes

43 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Construct Python Microservices with FastAPI

  • Build powerful command-line tools using Click

  • Master cloud-hosted Jupyter notebooks

  • Implement continuous integration workflows

  • Deploy containerized machine learning services

Skills you'll gain

Python Programming
FastAPI
Command-Line Tools
Microservices
Jupyter Notebooks
Cloud Computing
Container Services
Web Development
Data Engineering
Click Framework

This course includes:

4.2 Hours PreRecorded video

10 quizzes, 7 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This comprehensive course focuses on building web applications and command-line tools essential for data engineering. Students learn to construct Python microservices with FastAPI, develop command-line tools using Click, and work with cloud-hosted Jupyter notebooks. The curriculum covers project structure, continuous integration, package distribution, and containerization. Through hands-on projects, learners gain practical experience in creating scalable data engineering solutions and automated testing workflows.

Jupyter Notebooks

Module 1 · 4 Hours to complete

Cloud-Hosted Notebooks

Module 2 · 5 Hours to complete

Python Microservices

Module 3 · 12 Hours to complete

Python Packaging and Rust Command Line Tools

Module 4 · 19 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Python, Bash and SQL Essentials for Data Engineering

Instructors

Alfredo Deza
Alfredo Deza

4.8 rating

25 Reviews

1,06,363 Students

29 Courses

Adjunct Assistant Professor at Duke University

Dr. Alfredo Deza is an Adjunct Assistant Professor in the Pratt School of Engineering at Duke University, where he teaches courses on machine learning, programming, and data engineering. He has been involved in academia for several years, focusing on innovative teaching methods and practical applications of technology. Dr. Deza co-authored the book Practical MLOps and has published several other works related to Python and machine learning. His teaching includes courses such as Python Bootcamp and advanced data engineering topics, and he actively develops online courses available on platforms like Coursera. In addition to his academic role, Dr. Deza works in developer relations at Microsoft, leveraging his extensive experience in software engineering and cloud computing to enhance educational content and support for students and faculty. He collaborates with various universities worldwide, including Georgia Tech and Carnegie Mellon University, to promote knowledge sharing in the field of technology and data science.

 Noah Gift
Noah Gift

4.4 rating

63 Reviews

1,50,463 Students

40 Courses

Executive in Residence and Founder of Pragmatic AI Labs

Noah Gift is the founder of Pragmatic AI Labs and serves as an Executive in Residence at Duke University, where he lectures in the MIDS Graduate Data Science Program. With nearly two decades of experience, he specializes in machine learning, MLOps, and cloud architecture, designing graduate-level courses that bridge theory and practical applications. Gift is a recognized expert in the field, being a Python Software Foundation Fellow and an AWS Machine Learning Hero, with extensive experience working with major companies such as Disney Feature Animation, Sony Imageworks, and AT&T. He has authored several influential books, including Practical MLOps and Python for DevOps, and has published numerous technical articles across various platforms.In his teaching role, Gift offers a wide range of courses such as Advanced Data Engineering, Cloud Machine Learning Engineering and MLOps, and Data Visualization with Python. His work emphasizes hands-on learning and real-world problem-solving using contemporary tools in AI and cloud computing. By leveraging his industry experience and academic insights, Gift aims to equip students with the skills necessary to tackle complex challenges in data science and machine learning, preparing them for successful careers in these rapidly evolving fields.

Web Applications and Command-Line Tools for Data Engineering

This course includes

43 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.