Advanced RAG: Retrieval, Reasoning and Reliable AI Systems

Advanced RAG Course: Retrieval, Reasoning and Reliable AI Systems

Move beyond the definition of Retrieval Augmented Generation and learn to evaluate how RAG systems use evidence. This advanced conceptual course from NORAI Academy examines the decisions behind reliable retrieval, context preparation, grounded answers and responsible operation.

The October 2026 edition contains forty original text lessons, practical source packets and eight automatically marked assessments. It is designed for learners who understand the fundamentals and want to judge architectures, diagnose failures and explain which improvements are supported by evidence.

What you will study

• Requirements, answerability and the differences between correctness, groundedness and completeness.
• Source authority, document structure, contextual retrieval and knowledge maintenance.
• Keyword, vector and hybrid search, filtering, query planning and reranking.
• Context selection, conflicting evidence, citation support and appropriate uncertainty.
• Agentic retrieval, structured data tools, GraphRAG, multimodal evidence and memory.
• Evaluation sets, precision, recall, ranking and the limits of automated judges.
• Permission boundaries, prompt injection, poisoned sources and data handling.
• Cost, latency, caching, model changes and operational decisions.

Understanding before implementation

This is not a coding tutorial. You will interpret documents, search results, answer traces and performance reports rather than install frameworks or submit a software project.

Examples and assessment datasets are fictional unless explicitly identified as published research. Their numbers are teaching inputs, not claims about a commercial product or universal performance benchmarks.

Assessments

Each section ends with an assessment. Questions use fixed answer keys and require no instructor marking, essay submission or AI grading service. The final section includes a case assessment that draws together the whole course. A minimum score of 80% is required in each assessment, with unlimited attempts and no time limit.

Who should take this course?

The course suits professionals, product owners, consultants, business leaders and technical learners who want a deeper conceptual understanding of RAG. Complete NORAI Academy’s What is RAG? course first.

By the end, you should be able to inspect a RAG application’s evidence and outputs, locate likely failure points and justify a next investigation or improvement. Completion demonstrates study of these concepts, not independent verification of production engineering competence.