Generative AI for Data Engineers

International Business Machines Corporation, or IBM, is a renowned technology company based in the United States. As a leader in driving technological advancement, IBM offers opportunities for you to be part of a community that focuses on innovation and research. You will have access to a company that has been at the forefront of technological development for over a century, with a strong presence in cloud computing, artificial intelligence, and cybersecurity.

Specifically, IBM focuses on delivering enterprise solutions in areas like cloud computing, artificial intelligence, cybersecurity, and quantum computing. With 345 programs available, you can explore different aspects of technology and consulting services. For instance, IBM's AI platform Watson has revolutionized data analytics and machine learning, giving you a unique opportunity to learn from industry leaders.

As you join IBM, you will be part of a global network with a strong presence in the United States. You will have opportunities to engage with a company that holds thousands of patents and is committed to addressing global challenges through technology. With its headquarters in Armonk, New York, you will be close to a major hub for business and technology, offering a unique blend of academic and professional experiences.

The Generative AI for Data Engineers program is a non-degree course for data engineers and others interested in using generative AI in data engineering, offered by IBM in the United States, taught in English, and lasting several weeks. The main advantage is that it helps you make data engineering tasks more efficient.

The curriculum covers generative AI concepts, including differences from discriminative AI, real-world use cases, and popular generative AI models and tools for text, code, image, audio, and video generation. You will also learn about prompt engineering concepts, techniques, and tools like IBM Watsonx and Prompt Lab.

After completing this program, you can pursue careers such as Data Engineer, AI Engineer, Data Scientist, Machine Learning Engineer, or Business Intelligence Developer, and work with companies that use generative AI in their data engineering tasks.