TwoSetAI

Cohort 2

Cohort 1

This free eBook provides a foundational understanding of Retrieval-Augmented Generation (RAG) systems. It covers real-world applications, such as using RAG for interacting with PDF documents, and explores various frameworks like LLamaIndex, LangChain, and Haystack. It also addresses practical challenges in deploying RAG systems. While this book lays the groundwork, our course will offer the latest updates and advanced techniques. Download it to build a solid base before diving deeper with us.

Ebook: A Practical Approach to Retrieval Augmented Generation Systems

Transform Your Career in 48 Hours: Build &amp; Deploy AI Systems That Outperform Automation For engineers and data scientists tired of AI hype — learn to&nbsp;ship production RAG systems&nbsp;in one intensive weekend. In this hands-on crash course, you’ll go from RAG basics to deploying a&nbsp;scalable AI prototype&nbsp;that solves real business problems. Unlike theoretical tutorials, we focus on&nbsp;exactly what companies need: Day 1:&nbsp;Build a research paper chatbot using LlamaIndex/LangChain/from scratch. Day 2:&nbsp;Optimize, deploy, and troubleshoot it for real-world use. By Sunday night, you’ll:✅ Have a portfolio-ready RAG system (not just a Jupyter notebook).✅ Master advanced techniques like query rerouting and observability.✅ Confidently discuss RAG in job interviews or stakeholder meetings. Is This Course For You?👉 “You’re a software engineer tired of AI hype and ready to&nbsp;build real systems.”👉 “You’re a data scientist who wants to&nbsp;move beyond Jupyter notebooks&nbsp;to production-ready solutions.”👉 "You're a tech lead who wants to get more insights on how to guide your team."

From RAG novice to building production-ready AI systems.

Course syllabus

Concept and code walk throughs of building a RAG system end-to-end.

Live Sessions on Saturdays & Sundays

Starting March, 2025

Office hours: 1 hour Project: 3 - 4 hours

One Hands-on Project and Office Hours

Good reads to take home for your busy schedule.

Offline Contents

Course schedule

Mid-level engineers&nbsp;(1+ years experience) in software/data roles who need to add AI to their skillset.

Data scientists&nbsp;transitioning from traditional ML to LLM-powered systems.

Tech Leads &amp; Product Managers: For leaders who want to lead AI projects, not just watch from the sidelines.

Who is this course for

What you’ll get out of this course

Get a solid foundation in Retrieval-Augmented Generation (RAG), designed for novice learners. You'll grasp the basics of combining AI with search and build confidence in developing production-ready systems.

Introduction to RAG systems

Walk through step-by-step to create your first RAG system, even with no prior experience. This course covers all the fundamental concepts you need to start deploying real-world AI solutions.

Build your first RAG system from scratch

Learn to design scalable Retrieval-Augmented Generation systems using search and AI, ready for real-world applications. Gain practical skills to manage system components and optimize performance.

Design production-ready RAG systems

Learn how to fine-tune and optimize RAG systems for specific industries and use cases, from customer support to content generation. By the end, you'll be able to tailor AI solutions to meet diverse business needs.

Optimize RAG for real-world use cases

Build & deploy RAG systems in 48 hours. Stay ahead of AI job disruption. Join engineers transitioning to AI roles.

Learn directly from TwoSetAI

TwoSetAI

Courses

From Engineer to AI Engineer: Build RAG Systems in 1 Weekend

Resources

Ebook: A Practical Approach to Retrieval Augmented Generation Systems

Ebook: A Practical Approach to Retrieval Augmented Generation Systems