RAG Systems — Hands-On Projects
Data Science & AI Generative AI & LLMs

RAG Systems — Hands-On Projects

Everything you need to use RAG Systems with confidence

By Divya Balan 0.0 (0 ratings) Intermediate English 0 learners

What you'll learn

  • Understand the core concepts of RAG Systems and how they fit together
  • Build hands-on projects using RAG Systems that you can add to your portfolio
  • Apply RAG Systems to solve real, practical problems in Data Science & AI
  • Follow industry best practices and avoid common RAG Systems mistakes
  • Gain the confidence to use RAG Systems at work and in interviews

Skills you'll gain

RAG Systems Practical Projects Debugging Best Practices Problem Solving Generative AI & LLMs

About this course

RAG Systems is one of the most useful skills in Data Science & AI today, and this course makes it approachable and practical. Through guided projects in Generative AI & LLMs, you'll build real understanding rather than memorising steps. Created by Divya Balan, the course pairs clear explanations with hands-on practice so the ideas stick. You'll come away able to apply RAG Systems to your own work and on job-relevant, Hyrespot-matched roles.

Curriculum

Getting Started

  • Welcome and what you'll build video · 16:00 ▶ Free preview
  • RAG Systems in 10 minutes video · 17:00 ▶ Free preview
  • Your first RAG Systems walkthrough video · 06:00
  • Hands-on exercise video · 07:00

Core Concepts

  • Common patterns in practice video · 11:00
  • Building the project — part 1 video · 12:00
  • Debugging and troubleshooting video · 13:00
  • Performance and optimisation video · 14:00
  • Testing your work video · 15:00

Hands-On Practice

  • Performance and optimisation video · 06:00
  • Testing your work video · 07:00
  • Welcome and what you'll build video · 08:00

Building Real Projects

  • Welcome and what you'll build video · 13:00
  • RAG Systems in 10 minutes video · 14:00
  • Your first RAG Systems walkthrough video · 15:00
  • Hands-on exercise video · 16:00

Going Deeper

  • Common patterns in practice video · 08:00
  • Building the project — part 1 video · 09:00
  • Debugging and troubleshooting video · 10:00
  • Performance and optimisation video · 11:00
  • Testing your work video · 12:00