Generative AI for Data Scientists

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.

This program is a non-degree course for data professionals who want to learn about generative AI. It's a specialization that lasts several weeks and is taught in English. The main advantage is that it helps students boost their careers by applying generative AI in data science.

The curriculum covers the basics of generative AI, its real-world applications, and prompt engineering concepts. Students will learn about generative AI tools, including IBM Watsonx, Prompt Lab, and Spellbook, and explore how to apply generative AI throughout the data science methodology. They will practice data augmentation, data generation, feature engineering, and model development.

After completing this program, students can pursue careers as Data Scientists, Data Analysts, Cognitive Scientists, Data Architects, or AI Engineers. They can work in various industries, including finance, healthcare, and technology, and for employers such as IBM, Google, or Amazon.