Generative AI: Elevate your Data Engineering Career
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Generative AI: Elevate your Data Engineering Career
This course is part of multiple programs.
Instructor: Rav Ahuja
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What you'll learn
Leverage various generative AI tools and techniques in data engineering processes across industries
Implement various data engineering processes such as data generation, augmentation, and anonymization using generative AI tools
Practice generative AI skills in hands-on labs and projects for data warehouse schema design and infrastructure setup
Evaluate real-world case studies showcasing the successful application of Generative AI for ETL and data repositories
Skills you'll gain
Tools you'll learn
Details to know
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- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 3 modules in this course
Data engineering processes have undergone an amazing transformation since the advent of Generative AI. In this course, you will explore the impact of generative AI on data engineering. You as a data engineer can use Generative AI to enhance productivity by introducing innovative ways to deliver projects.
Data engineering is responsible for building strong data pipelines, managing data infrastructure, and ensuring high-quality data evaluation. This course is suitable for existing and aspiring data engineers, data warehousing specialists, and other data professionals such as data analysts, data scientists and BI analysts. You will learn how to use and apply generative models for tasks such as architecture design, database querying, data warehouse schema design, data augmentation, data pipelines, ETL workflows, data analysis and mining, data lakehouse, and data repositories. You will also explore challenges and ethical considerations associated with using Generative AI. Demonstrate your new generative AI skills in a hands-on data engineering project that you can apply in your real-life profession. Then, complete your final quiz to earn your certificate. You can share both your project and certificate with your current or prospective employers.
In this module, you will acquire the necessary skills to use generative AI tools for data engineering effectively. You will learn some successful implementations of generative AI tools in databases, data warehousing schema design, data generation, augmentation, and anonymization. You will also learn how to use generative AI for infrastructure design.
What's included
13 videos2 readings3 assignments5 app items1 discussion prompt7 plugins
13 videos•Total 71 minutes
- Course Introduction•3 minutes
- Meet Your Experts•3 minutes
- Generative AI for Data Engineering •4 minutes
- How Data Engineers Leverage the Power of Generative AI •9 minutes
- Examples of Generative AI in Data Engineering •5 minutes
- Expert Viewpoints: Impact of Generative AI on Data Engineering•5 minutes
- Data Engineering |Expert Viewpoints: AI’s Impact on the Design and Architecture of Data Repositories•5 minutes
- Designing Future-Ready Data Architectures with Generative AI•4 minutes
- Automating Schema Design with Generative AI •8 minutes
- Demo: Generative AI for Data Generation and Augmentation •7 minutes
- Demo: Generative AI for Infrastructure Setup•6 minutes
- Expert Viewpoints: How is Gen AI impacting the Design and Architecture of Data Repositories?•5 minutes
- Successful Implementations of Generative AI for Data Design •6 minutes
2 readings•Total 5 minutes
- Reading: Course Syllabus and Prerequisites •3 minutes
- Module 1 Summary: Data Engineering and Generative AI•2 minutes
3 assignments•Total 50 minutes
- Module 1 Graded Quiz: Data Engineering and Generative AI•30 minutes
- Practice Quiz: Data Engineering and Generative AI •10 minutes
- Practice Quiz Generative AI for Data Design•10 minutes
5 app items•Total 135 minutes
- Hands-on Lab: Generative AI for Architecture Design •30 minutes
- Hands-on Lab: Generative AI for Database, Data Warehouse Schema Design•30 minutes
- Hands-on Lab: Generative AI for Data Anonymization•30 minutes
- Hands-on Lab: Testing Environment•15 minutes
- Hands-on Lab: Generative AI for Infrastructure Setup•30 minutes
1 discussion prompt•Total 5 minutes
- Discussion Prompt: Discuss How Generative AI Can Be Used in Data Engineering •5 minutes
7 plugins•Total 76 minutes
- Helpful Tips for Course Completion•3 minutes
- Reading: Generative AI Tools for Data Engineering•10 minutes
- Reading: Case Study on Successful Implementations of Generative AI in Data Engineering •6 minutes
- Reading: Leveraging Generative AI in Data Engineering Process •7 minutes
- Hands-on Lab: Generative AI for Data Generation and Augmentation•30 minutes
- Reading: Generative AI for Data Anonymization•5 minutes
- Module 1 Cheat Sheet: Data Engineering and Generative AI•15 minutes
This module will give you the skills and knowledge to effectively use generative AI to prepare data pipelines and ETL workflows. In addition, you will acquire skills in querying databases, data analysis, and data mining. You will also understand the importance of ethical practices in using generative models.
What's included
10 videos1 reading3 assignments6 app items3 plugins
10 videos•Total 52 minutes
- Demo: Generative AI for Data Pipelines and ETL Workflows•6 minutes
- Demo: Generative AI for Data Repository Maintenance and Administration•4 minutes
- Demo: Generative AI for Querying Databases•5 minutes
- Demo: Generative AI for Data Mining and Analysis•4 minutes
- Generative AI for Data Lakehouse•7 minutes
- Expert's Viewpoint: AI's Role in Shaping Data Repositories•4 minutes
- Successful Implementations of Generative AI for ETL and Data Repositories •7 minutes
- Considerations While Using Generative AI in Industries•6 minutes
- Challenges While Using Generative AI•7 minutes
- Data Engineering |What are the key risks and challenges of using Generative AI for data professionals?•3 minutes
1 reading•Total 5 minutes
- Module 2 Summary: Use of Generative AI for Data Engineering•5 minutes
3 assignments•Total 46 minutes
- Module 2 Graded Quiz: Use of Generative AI for Data Engineering•30 minutes
- Practice Quiz: Generative AI for ETL and Data Repositories •6 minutes
- Practice Quiz: Generative AI Considerations for Data Professionals•10 minutes
6 app items•Total 195 minutes
- Hands-on Lab: Generative AI for Data Pipelines and ETL Workflows •30 minutes
- Hands-on Lab: Generative AI for Data Repository Maintenance and Administration •30 minutes
- Hands-on Lab: Generative AI for Querying Databases•30 minutes
- Hands-on Lab: Generative AI for Data Analysis and Mining •30 minutes
- Hands-on Lab: Testing Environment•15 minutes
- Hands-on Lab: Considerations for Data Professionals using Gen AI•60 minutes
3 plugins•Total 21 minutes
- Reading: Responsible Generative AI for Data Professionals•10 minutes
- Case Study: Considerations While Using Generative AI in Healthcare•6 minutes
- Reading: Module 2 Cheat Sheet: Use of Generative AI for Data Engineering•5 minutes
In this module you will work on a real-world dataset and apply the skills acquired in this course to the test. You will use Generative AI to perform multiple Data Engineering operations in terms of planning, preparing and processing the data.
What's included
2 videos2 readings1 assignment2 app items1 plugin
2 videos•Total 9 minutes
- Enhancing Your Data Engineer Career with Generative AI•6 minutes
- Expert Viewpoints: Tips for Data Professionals•3 minutes
2 readings•Total 6 minutes
- Congratulations and Next Steps•5 minutes
- Thanks from the Course Team•1 minute
1 assignment•Total 30 minutes
- Final Exam•30 minutes
2 app items•Total 90 minutes
- Hands-on Lab: Final Project•75 minutes
- Hands-on Lab: Testing Environment•15 minutes
1 plugin•Total 5 minutes
- Reading: Final Project Overview•5 minutes
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