This course provides a practical introduction to Artificial Intelligence (AI), Retrieval-Augmented Generation (RAG), and AI application deployment. Participants will explore the fundamentals of AI and Large Language Models (LLMs), understand the limitations of standalone language models, and learn how RAG enhances AI systems by integrating external knowledge sources to generate accurate, reliable, and context-aware responses. The course also introduces the essential concepts and tools required to deploy AI applications, enabling learners to move from prototype to production. Through hands-on exercises, participants will gain foundational skills for building and deploying modern AI-powered applications.
Learn Retrieval-Augmented Generation (RAG) by building and deploying LLM-powered chatbots that retrieve, reason, and query domain-specific documents.
You now understand how to get creative and powerful outputs from AI models.
But with that power comes vital responsibility: USER SAFETY.
Introduces Artificial Intelligence, covering history, types, benefits, risks, ethics, data, productivity, regulation, careers, generative systems, and assessment foundations overview.