Generative AI Skills for Data Engineers
Boost your Data Engineering career with Generative AI! Use GenAI for ETL, Data Pipelines, Data Architecture, Database Querying, Maintenance & Administration.
Language
- English
Topic
- Artificial Intelligence
Industries
- Social Sciences
Skills You Will Learn
- Generative AI, Artificial Intelligence, Data Engineering, Data Architecture, Database Querying, Maintenance & Administration
Offered By
- IBMSkillsNetwork
Estimated Effort
- 12 hours
Platform
- SkillsNetwork
Last Update
- September 13, 2024
Learning Outcomes
- Use a variety of generative AI tools and methodologies throughout the data engineering lifecycle.
- Perform data engineering tasks including: data generation, augmentation, and anonymization, with the help of generative AI tools.
- Engage in hands-on labs and projects to hone generative AI proficiency, focusing on tasks like data warehouse schema design and infrastructure configuration.
- Analyze real-world case studies illustrating the effective deployment of Generative AI in ETL processes and data repositories.
Course Syllabus
- Welcome
- Data Engineering and Generative AI
- Generative AI for Data Architecture, Planning and Preparation
- Module Assessment
- Generative AI for ETL and Data Repositories
- Generative AI Considerations in Data Engineering
- Module Assessment
- Guided Project
- Final Exam
- Course Wrap-Up
General Information
- This course is self-paced.
- This platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.
Recommended Skills Prior to Taking this Course
- Generative AI Essentials
- Prompt Engineering Essentials
Language
- English
Topic
- Artificial Intelligence
Industries
- Social Sciences
Skills You Will Learn
- Generative AI, Artificial Intelligence, Data Engineering, Data Architecture, Database Querying, Maintenance & Administration
Offered By
- IBMSkillsNetwork
Estimated Effort
- 12 hours
Platform
- SkillsNetwork
Last Update
- September 13, 2024
Instructors
Rav Ahuja
Global Program Director, IBM Skills Network
Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.
Read moreAbhishek Gagneja
Freelance Subject Matter Expert
I am a lifelong learner with more than a decade of teaching experience at university level. I am an AI enthusiast and love learning new things.
Read more