RAG Systems Bootcamp - Retrieval-Augmented Generation

With this RAG Systems Bootcamp you can accelerate LLM apps. Learn to design, build, and tune retrieval pipelines for accurate, up-to-date answers.

  • Learn to decode RAG architecture step-by-step
  • Work with vector stores and embeddings
  • Build customer-support Q&A with LlamaIndex & LangChain
  • Measure latency, accuracy, and cost
  • Live labs, quizzes, and a capstone project
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RAG Systems Bootcamp - Retrieval-Augmented Generation Course Overview

Large models have hallucinations and RAG solves this. This Bootcamp teaches you how to incorporate new information into LLMs on the fly, ensuring that responses are based on facts rather than guesswork.

In instructor-led workshops, you’ll connect end-to-end RAG pipelines. We begin with embeddings, progress to quick similarity searches on vector databases, and conclude with response synthesis. You will test several retrieval algorithms, optimize for speed, and assess using human-readable metrics rather than just BLEU scores. By the end of the lab, you’ll have deployed a RAG-powered help-desk bot and understand how to debug, grow, and monitor it—all abilities that employers are looking for today. (Yes, Google’s ranking algorithms still value well-structured, evidence-based material!)

What will you learn?

  • Core components of a RAG system, retriever, reader, synthesizer
  • Vector DB setup (Pinecone, Chroma, Weaviate)
  • Prompt & chunking tactics that cut hallucinations
  • Evaluation dashboards: precision, latency, $$ per query
  • Deploying RAG on cloud & edge

Curriculum

  • What is a RAG System?
  • Core Components of a RAG System
  • Types of RAG Systems
  • Retrieval Techniques
  • Augmentation with Language Models
  • RAG Systems with LlamaIndex
  • Vector DBs, Indexing, Retrieval

RAG System for Customer Support

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Our Esteemed Partners

Who can attend?

Anyone building or maintaining LLM-powered products who wants factual answers, not fiction.

  • ML / AI Engineers
  • Full-Stack & Backend Developers
  • Data Scientists working with LLMs
  • Solution Architects
  • Tech Leads & Product Engineers
  • ML / AI Engineers
  • Full-Stack & Backend Developers
  • Data Scientists working with LLMs
  • Solution Architects
  • Tech Leads & Product Engineers
  • ML / AI Engineers
  • Full-Stack & Backend Developers
  • Data Scientists working with LLMs
  • Solution Architects
  • Tech Leads & Product Engineers

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Exam & Certification

No formal exam. Complete the labs to earn the Agilefever RAG Systems Bootcamp Certificate.

  • Python & REST basics
  • Familiarity with LLM APIs (OpenAI, Anthropic, etc.)

RAG Systems Bootcamp - Retrieval-Augmented Generation Benefits

Corporate Benefits

  • Faster time-to-production for AI features.
  • Reuse existing data safely inside retrieval layers.
  • Lower inference cost compared to brute-force prompting.
  • Teams learn assessment, so quality continuously improves.
  • Future-proof talent for fast model shifts.

Individual Benefits

  • Reduce hallucinations on customer-facing applications.
  • Ship LLM features without extensive fine-tuning.
  • Add “RAG pipelines” to your resume because talent teams adore it.
  • Hands-on skills, not just PowerPoint.
  • Lifetime access to updated labs and codes.

Certification Process

Step 1: Enroll in our expert-led RAG Systems Bootcamp

Step 2: Finish all modules & the capstone project

Step 3: Receive your RAG Systems Bootcamp Certificate

Corporate Training

 

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FAQs

This RAG bootcamp is conducted in live sessions with recordings.

Pinecone in class; others demoed.

Both are covered plus raw API patterns.

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