NextGen AI
Advanced31% off

RAG & AI Agents: Production Deep Dive

Build retrieval and agent systems that actually work in production.

4.9
(2,140)
2,140 studentsEnglish

Created by Dr. Ivan Petrov · ML Systems Engineer

Promo video coming soon
$720$1,049Save 31%
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This course includes

  • 16 video lessons
  • 3h 58m of content
  • Downloadable resources
  • Full lifetime access
  • Certificate of completion
  • 30-day money-back guarantee

What you'll learn

  • Design retrieval that returns the right context
  • Chunking, embeddings, hybrid search and reranking
  • Build agent loops with reliable tool use
  • Defend against prompt injection and jailbreaks
  • Build evals that catch quality regressions
  • Control latency and cost in production

About this course

The gap between a RAG demo and a RAG system you can trust in production is enormous. This advanced course closes it. You'll build retrieval-augmented generation and tool-using agents the way they're built at serious companies: with real evaluation, cost control, guardrails and observability. Expect depth. We cover chunking and retrieval strategy, hybrid search and reranking, agent loops and tool design, prompt injection defence, evals that catch regressions, and how to keep latency and cost sane at scale.

Course content

4 modules · 16 lessons · 3h 58m

  • Why naive RAG fails in productionPreview
    13m
  • Embeddings and vector search, properlyPreview
    17m
  • Chunking strategies that matter
    15m
  • Hybrid search and reranking
    16m

Requirements

  • Solid programming experience
  • Familiarity with LLM APIs (see Build with LLMs)

Your instructor

D

Dr. Ivan Petrov

ML Systems Engineer

Ivan builds LLM infrastructure for a fintech serving millions of users. He's shipped RAG and agent systems that survive contact with real traffic — and has the scars to prove it.