Cloud Data Engineering Essentials
This course is part of Introduction to Cloud Computing.
This comprehensive course covers essential data engineering principles for cloud environments. Learn to build scalable distributed systems, implement big data solutions, and develop serverless data pipelines. Gain practical experience with ETL processes, cloud databases, and storage systems. Master key concepts including data governance, security best practices, and modern data processing techniques. The course combines theoretical knowledge with hands-on labs using tools like AWS Lambda, Google BigQuery, and Databricks. Perfect for those looking to develop expertise in cloud-based data engineering solutions.
Instructors:
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What you'll learn
Build scalable distributed systems using cloud technologies
Implement big data solutions with modern processing techniques
Develop serverless data engineering pipelines
Master cloud ETL processes and data governance strategies
Optimize cloud databases and storage solutions
Apply security best practices in data engineering
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams, quizzes, labs
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
This comprehensive data engineering course focuses on cloud-native application development and modern data processing techniques. Students learn to build scalable distributed systems, implement big data solutions, and develop serverless data pipelines. The curriculum covers essential topics including ETL processes, cloud databases, storage systems, and data governance. Practical skills are developed through hands-on experience with industry-standard tools and platforms.
Methodologies in Data Engineering
Module 1
Principles of Data Engineering
Module 2
Building Data Engineering Pipelines
Module 3
Applying Key Data Engineering Tasks
Module 4
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: Introduction to Cloud Computing
Instructor
30 Courses
Pioneering Tech Leader & AI Educator Shaping the Future of Machine Learning
Noah Gift is a distinguished technology leader and founder of Pragmatic AI Labs with a remarkable 30-year career spanning film, TV, telecom, social networks, startups, and big data, currently serving as an Executive-in-Residence at Duke University. As an AWS ML Hero and Python Software Foundation Fellow, he has authored best-selling books through O'Reilly and Pearson on DevOps, MLOps, data engineering, and cloud computing that are widely adopted by major universities. His expertise in MLOps, data engineering, cloud architecture, and Rust programming has led him to teach thousands of students across prestigious institutions including Duke, Northwestern, UC Berkeley, University of San Francisco, and UC Davis, while also collaborating with Caltech and JPL on automated IT systems. Gift's impact extends beyond academia through his work as a startup CTO, his role in developing scalable distributed systems, and his contributions as a keynote speaker at conferences focused on cloud development and ethical AI use, holding certifications from AWS, Google, and Microsoft, and having published over 100 technical works while conducting workshops for organizations like NASA, PayPal, and PyCon.
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Frequently asked questions
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