In today's rapidly evolving technological landscape, mastering fundamental AI concepts like Retrieval-Augmented Generation (RAG) and Agentic AI is no longer optional—it's essential for any aspiring software engineer or machine learning engineer trying to get their foot in the door. Businesses face challenges responding to clients' queries: teams spending endless hours answering repetitive questions that waste their valuable time. This project offers you a unique opportunity to build a customized, efficient chatbot that solves such real-world problems, allowing staff to focus on true value-adding tasks. By completing this guided project, you'll gain practical, hands-on experience in building intelligent systems that can revolutionize customer interactions and streamline operations.

This hands-on project delivers essential, high-demand skills that define today's technology sector. In just 30 minutes, you'll gain practical experience building AI solutions through clear visual demonstrations and accessible explanations. The course accommodates both newcomers to AI concepts and experienced developers seeking to solidify their understanding of these foundational technologies. By the end, you'll have both theoretical knowledge and practical implementation skills that are immediately applicable to real-world projects.

Upon completing this 30-minute beginner-friendly lab, you will be able to:

RAG Process

You will build your project using the IBM Skills Network Labs, a virtual lab environment that will provide you with everything you need to complete your project. The only thing you need is a modern web browser like Chrome, Firefox, Edge, or Safari. If you would like to showcase your project or deploy it in production for others to use, we recommend deploying it to the IBM Cloud® Code Engine or a similar fully managed serverless or Kubernetes service.