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
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.
Alternative Tools for Gen AI Supporting Data Engineers
Featured Tools
Learn to apply prompt engineering to the effective use of large language models such as ChatGPT, utilize prompt patterns to leverage model capabilities, and develop sophisticated prompt-based applications for diverse contexts such as life, business, or education.
Empower HR processes with AI to optimize recruitment, enhance employee engagement, and implement transformative strategies for organizational growth.
A structured guide to the study of business opportunities in the chatbot space, as well as the comprehension, design, and deployment of chatbots using Watson Assistant.
Brief Summary This course analyzes the deployment of machine learning models on Arm microcontrollers, with an emphasis on real-world applications in edge computing.
The goal of this course is to provide professionals with the necessary data science abilities in MATLAB so that they can carry out practical activities in businesses that rely heavily on data without having to learn extensive programming.