Offered By: IBMSkillsNetwork
Build an Agentic RAG Customer Service Chatbot with CrewAI
Build a Retrieval-Augmented Generation (RAG) and Agentic AI chatbot with CrewAI. Apply in-demand skills to solve real-world challenges with AI, leveraging LLMs. Create and orchestrate AI agents, work with databases, and refine prompt engineering for a customer service application used by a restaurant. This hands-on project is a necessity for all software engineers and machine learning engineers seeking to level-up their skills, in only 30-minutes!
Continue readingGuided Project
Artificial Intelligence
241 EnrolledAt a Glance
Build a Retrieval-Augmented Generation (RAG) and Agentic AI chatbot with CrewAI. Apply in-demand skills to solve real-world challenges with AI, leveraging LLMs. Create and orchestrate AI agents, work with databases, and refine prompt engineering for a customer service application used by a restaurant. This hands-on project is a necessity for all software engineers and machine learning engineers seeking to level-up their skills, in only 30-minutes!
Who Should Enroll
- Anyone interested in learning about AI agents and fundamental machine learning concepts like Retrieval-Augmented Generation (RAG)Ā
- Those looking to build specialized chatbots for domain-specific applications such as customer service, technical support, or other interactive use casesĀ
- Developers and tech enthusiasts seeking to gain practical experience with in-demand AI technologies
Why Enroll
A Look at the Project Ahead
- Build a customer service chatbot using CrewAI and LLMsĀ
- Deploy AI agents with specific roles, tools, and knowledge sourcesĀ
- Extract context from PDFs using Retrieval Augmented Generation (RAG)
What You'll Need
Estimated Effort
30 Minutes
Level
Beginner
Skills You Will Learn
Machine Learning
Language
English
Course Code
GPXX0S25EN