Generative AI for Data Analysts

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 Analysts program is a non-degree course offered by IBM in the United States. It's for anyone looking to gain knowledge of artificial intelligence, regardless of their background. The program lasts several weeks and helps students understand generative AI concepts and their real-world applications.

The curriculum covers generative AI prompts engineering, prompt techniques, and tools like IBM Watsonx and Prompt Lab. Students learn about fundamental concepts, models, and applications of generative AI, including GPT, DALL-E, and IBM Watson Studio. Hands-on labs allow students to apply these tools in a realistic setting, and a final project helps them practice their skills.

After completing this program, students can pursue careers as Data Analysts, Business Intelligence Developers, AI Engineers, Data Scientists, or Machine Learning Engineers. They can work in various industries, including finance, healthcare, and technology, for employers like IBM, Google, or Microsoft.