IBM Generative AI Engineering

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 IBM Generative AI Engineering program is a non-degree course for aspiring gen AI engineers and AI professionals, taught in English and lasting several weeks. It helps students develop essential skills in gen AI, large language models, and natural language processing.

This program covers AI, gen AI, and prompt engineering, along with data analysis, machine learning, and deep learning using Python. Students work with libraries like SciPy and scikit-learn and build apps using frameworks and models such as BERT, GPT, and LLaMA. They also gain practical experience in hands-on labs and projects, including a significant guided project to create a real-world gen AI application.

Graduates can pursue careers as AI Engineers, Machine Learning Engineers, Data Scientists, AI Research Engineers, and Natural Language Processing Specialists, working in industries like tech, healthcare, and finance, for employers such as IBM, Google, and Microsoft.