AI Accelerator Program

This is a hands-on, end-to-end course designed to help professionals build reliable, production-grade Generative AI systems using modern Retrieval-Augmented Generation and agentic architectures.

The course starts by building strong foundations in how large language models work and how to use them effectively through prompt engineering and real business use cases. You will then learn how to design and implement RAG systems that ground LLM outputs in enterprise data, reduce hallucinations, and improve factual accuracy using embeddings, vector databases, and advanced retrieval strategies.

As the course progresses, you will move beyond single-step LLM applications to agentic AI systems that can plan, reason, use tools, and dynamically retrieve information to solve complex tasks. You will design and build Agentic RAG systems that combine retrieval with multi-step decision making and reasoning workflows.

The final part of the course focuses on what truly matters in real-world: evaluation, observability, and monitoring of RAG systems, followed by advanced retrieval paradigms such as GraphRAG, helping you understand when and why to move beyond vector-only approaches.

By the end of this course, you will have a clear mental model, practical experience, and architectural intuition to confidently design and evaluate advanced RAG and Agentic RAG systems.