Generative AI: Elevate your Data Engineering Career
Master generative AI tools and techniques for data engineering, from pipeline automation to ETL workflows. Transform your data engineering skills.
Master generative AI tools and techniques for data engineering, from pipeline automation to ETL workflows. Transform your data engineering skills.
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 IBM Data Engineering Professional Certificate 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.
4.9
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What you'll learn
Apply generative AI tools in data engineering processes
Implement data generation and augmentation techniques
Design data warehouse schemas using AI assistance
Automate ETL workflows and data pipelines
Perform data analysis and mining with generative AI
Skills you'll gain
This course includes:
1.7 Hours PreRecorded video
7 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 modules in this course
This comprehensive course explores the transformative impact of generative AI on data engineering processes. Students learn to leverage generative AI tools for various data engineering tasks including architecture design, database querying, data warehouse schema design, data augmentation, pipeline automation, and ETL workflows. The curriculum covers practical applications through hands-on labs and real-world case studies, with a focus on ethical considerations and industry best practices.
Data Engineering and Generative AI
Module 1 · 5 Hours to complete
Use of Generative AI for Data Engineering
Module 2 · 5 Hours to complete
Final Project and Exam
Module 3 · 2 Hours to complete
Fee Structure
Instructors
Experienced Educator and Applied AI Researcher with a Passion for Knowledge Sharing
With over a decade of university-level teaching experience, this passionate educator has developed numerous course modules, educational content, and hands-on lab designs. As a doctorate-level researcher specializing in applied AI, machine learning, and deep learning applications, they are dedicated to advancing both academic and practical knowledge. Their extensive background spans curriculum development, research, and fostering student engagement through practical projects.
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Testimonials
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4.9 course rating
10 ratings
Frequently asked questions
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