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Generative AI for Data Engineers

United States

The Non-degree in Generative AI for Data Engineers at International Business Machines Corporation (IBM) is a program for international students taught in English.

📖 Introduction

International Business Machines Corporation (IBM) is a globally recognized public multinational technology company founded in 1911. Initially named the Computing-Tabulating-Recording Company (CTR), it was renamed IBM in 1924. Known for its pioneering innovations in computer hardware, software, and IT consulting services, IBM has played a key role in advancing fields such as artificial intelligence (AI), cloud computing, and quantum computing. Distinguished by its commitment to research and development, IBM is responsible for groundbreaking inventions like the ATM, personal computer, and the Watson AI system.

📚 About the Program

Data Engineering is all about efficient data collection, generation, transformation and storage. Generative AI tools have the capability of making each of data engineering tasks more efficient, effective, and convenient on an ETL pipeline. This specialization is designed not only for Data Engineers but for anyone who might be interested in the use of generative AI in Data Engineering.\n\nWith three self-paced courses in the specialization, you will begin with learning the differences that distinguish generative AI from discriminative AI. You’ll delve into real-world generative AI use cases and explore popular generative AI models and tools for text, code, image, audio, and video generation.\n\nNext, delve into generative AI prompts engineering concepts and real-world business uses. Learn about prompt techniques like zero-shot and few-shot and explore various prompt engineering approaches and explore commonly used prompt engineering tools including IBM Watsonx, Prompt Lab, Spellbook, and Dust.\n\nNo experience is needed to begin this specialization, although you might find it helpful to have some data engineering knowledge.\n\nTake your career to the next level. Let’s get started!

Data Engineering is all about efficient data collection, generation, transformation and storage. Generative AI tools have the capability of making each of data engineering tasks more efficient, effective, and convenient on an ETL pipeline. This specialization is designed not only for Data Engineers but for anyone who might be interested in the use of generative AI in Data Engineering.\n\nWith three self-paced courses in the specialization, you will begin with learning the differences that distinguish generative AI from discriminative AI. You’ll delve into real-world generative AI use cases and explore popular generative AI models and tools for text, code, image, audio, and video generation.\n\nNext, delve into generative AI prompts engineering concepts and real-world business uses. Learn about prompt techniques like zero-shot and few-shot and explore various prompt engineering approaches and explore commonly used prompt engineering tools including IBM Watsonx, Prompt Lab, Spellbook, and Dust.\n\nNo experience is needed to begin this specialization, although you might find it helpful to have some data engineering knowledge.\n\nTake your career to the next level. Let’s get started!

🏫 About the University

IBM, established in 1911, is one of the oldest and most influential technology companies in the world. With its headquarters in Armonk, New York, IBM has been a leader in driving technological advancement across industries. The company is known for delivering enterprise solutions in cloud computing, artificial intelligence, cybersecurity, and quantum computing. Through its AI platform Watson, IBM has revolutionized data analytics and machine learning. With a strong focus on innovation and research, IBM holds thousands of patents and is committed to addressing global challenges through technology and consulting services tailored to businesses worldwide.

💰 Fees

Application Fee

$0 USD

$0 USD

Tuition Fee

$49 USD

$49 USD

per year

✅ Entry Requirements

All students from all countries are eligible to apply to this program.

📬 Admissions Process


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