Gen AI Supporting Data Engineers
Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.
Description for Gen AI Supporting Data Engineers
- Utilize your abilities to identify generative AI models and tools for text, code, image, audio, and video, as well as to identify real-world applications of generative AI.
- Describe the concepts, examples, and common tools of generative AI prompt engineering, and acquire the necessary techniques to develop effective, impactful prompts.
- Utilize generative AI tools to execute data engineering processes, including data warehouse schema design, data generation, augmentation, and anonymization.
- Assess real-world case studies that illustrate the successful implementation of generative AI in data repositories and ETL.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera offered by IBM
Duration: 2 months at 2 hours a week
Schedule: Flexible
Pricing for Gen AI Supporting Data Engineers
Use Cases for Gen AI Supporting Data Engineers
FAQs for Gen AI Supporting Data Engineers
Reviews for Gen AI Supporting Data Engineers
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Groupify Team
I�ve incorporated it into team projects with great success.
Groupify Team
I rely on this AI tool more than I thought I would.
Ethan Davis
I can rely on it to draft solid beginnings to my work.
Groupify Team
I�ve had a better work-life balance since using this regularly.
Groupify Team
Can be used in so many creative ways�it�s very adaptable.
Alternative Tools for Gen AI Supporting Data Engineers
Featured Tools
This course provides practical competencies in generative artificial intelligence, large language models, and natural language processing data management, all underpinned by a credential esteemed within the industry.
Acquire practical business analytics expertise. Utilize data to resolve intricate business challenges.
Develop essential product development artifacts, create a personal portfolio demonstrating product management skills, and assess readiness for the AIPMM Certified Product Manager (CPM) certification exam.
Advance your career by acquiring in-demand skills such as IT automation, Git, and Python.
Apply linear algebra concepts like linear independence, rank, singularity, eigenvalues, and eigenvectors to analyze data and solve machine learning problems using standard vector and matrix operations.