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Inicio 4 June 2026 03:57

Fin 4 June 2026

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Generative AI for Data Engineering

Las previsiones de Gartner sugieren que para 2027, el 80% de la fuerza laboral de ingeniería necesitará adaptarse al auge de la IA generativa. Para los ingenieros de datos, la competencia en IA se convertirá en crucial para el progreso profesional. La Ingeniería de Datos implica la recolección, transformación y almacenamiento eficiente de datos. L.
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Resumen

Gartner forecasts suggest that by 2027, 80% of the engineering workforce will need to adapt to the rise of generative AI. For data engineers, AI proficiency is set to become crucial for career progression.

Data Engineering involves the proficient collection, transformation, and storage of data.

The application of generative AI tools enhances these processes, improving efficiency and convenience within ETL pipelines.

Kickstart your learning by understanding what sets generative AI apart from discriminative AI. Delve into generative AI's real-world applications and familiarize yourself with leading generative AI models and tools for producing text, code, images, audio, and video.

Discover the concept of generative AI prompt engineering and its practical applications.

Gain pragmatic experience in prompting techniques, including zero-shot and few-shot learning, while exploring useful tools like IBM Watsonx, Prompt Lab, Spellbook, and Dust.

Our courses combine theoretical learning with practical labs and assessments. You'll complete this program with a prestigious industry-recognized certificate that can bolster your current career or help you pursue new opportunities.

This comprehensive three-course program caters to Data Engineers and individuals eager to integrate generative AI into their data engineering toolkit to advance their careers.

Don’t miss this opportunity—enroll today!


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