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.
Convolutional Neural Network,Information Engineering,Querying Databases,Data Generation,Generative AI,Artificial Intelligence (AI),ChatGPT,Large Language Models (LLM),Natural Language Generation,Prompt Engineering,prompt patterns
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
4.4 / 5
from 5 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Sari Noor
I�ve incorporated it into team projects with great success.
Reid Byrd
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.
Ellis Wade
I�ve had a better work-life balance since using this regularly.
Grant Pike
Can be used in so many creative ways'it's very adaptable.
Featured Tools
Improve your cybersecurity career by incorporating AI. In three months or less, acquire the necessary credentials for your cybersecurity profession and develop in-demand generative AI skills. There is no prerequisite for a degree or prior experience.
Comprehend generative AI basics, practical applications, ethical implications, and potential impacts on student learning in education.
Explore the use of generative AI tools to enhance data preparation, querying, and machine learning model development in data science workflows through hands-on projects.
Explore the transformative impact of generative AI on businesses and careers, and its potential to enhance productivity across various sectors.
Unlock and capitalize on the capabilities of generative AI. Discover how the capabilities of generative AI can be leveraged to improve your work and personal life.