Project: Generative AI Applications with RAG and LangChain

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 project that helps you apply your generative AI engineering skills in a real-world setting. It's for individuals who want to build their own AI application and gain practical experience. The program is taught in English and lasts several weeks, with the main advantage being hands-on experience.

The curriculum focuses on building a gen AI application using RAG and LangChain. You'll learn about document loaders, text-splitting strategies, and model responsiveness. You'll also use Watsonx to embed documents, a vector database to store document embeddings, and LangChain to develop a retriever to fetch documents. Additionally, you'll implement RAG to improve retrieval, create a QA bot, and set up a simple Gradio interface to interact with your models.

By completing this program, you can pursue careers such as AI Engineer, Machine Learning Engineer, Data Scientist, QA Engineer, or Software Developer. You'll be able to work in industries like tech, healthcare, or finance, and potential employers may include companies like IBM or other leading AI firms.