From Engineer to AI Engineer: Build RAG Systems in 1 Weekend
2 Days
·Cohort-based Course
Build & deploy RAG systems in 48 hours. Stay ahead of AI job disruption. Join engineers transitioning to AI roles.
From Engineer to AI Engineer: Build RAG Systems in 1 Weekend
2 Days
·Cohort-based Course
Build & deploy RAG systems in 48 hours. Stay ahead of AI job disruption. Join engineers transitioning to AI roles.
Previously worked with
Course overview
From RAG novice to building production-ready AI systems.
Transform Your Career in 48 Hours: Build & Deploy AI Systems That Outperform Automation
For engineers and data scientists tired of AI hype — learn to ship production RAG systems in one intensive weekend.
In this hands-on crash course, you’ll go from RAG basics to deploying a scalable AI prototype that solves real business problems. Unlike theoretical tutorials, we focus on exactly what companies need:
Day 1: Build a research paper chatbot using LlamaIndex/LangChain/from scratch.
Day 2: 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 build real systems.”
👉 “You’re a data scientist who wants to move beyond Jupyter notebooks to production-ready solutions.”
👉 "You're a tech lead who wants to get more insights on how to guide your team."
Who is this course for
01
Mid-level engineers (1+ years experience) in software/data roles who need to add AI to their skillset.
02
Data scientists transitioning from traditional ML to LLM-powered systems.
03
Tech Leads & Product Managers: For leaders who want to lead AI projects, not just watch from the sidelines.
What you’ll get out of this course
Introduction to RAG systems
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.
Build your first RAG system from scratch
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.
Design production-ready RAG systems
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.
Optimize RAG for real-world use cases
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.
This course includes
2 interactive live sessions
Lifetime access to course materials
12 in-depth lessons
Direct access to instructor
1 projects to apply learning
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
From Engineer to AI Engineer: Build RAG Systems in 1 Weekend
Course syllabus
Week 1
Mar
22
Live Session - Week 2 Session 1
Building a Complete RAG Pipeline
Mar
23
Live Session - Week 2 Session 2
Evaluation and Fine-tuning
Observability and Cost
What people are saying
@AwakenwithoutCoffee
Egil Sandfeld
Meet your instructor
Mehdi Allahyari
Mehdi is a Chief AI Engineer, accomplished AI Researcher, and winner of Anthropic’s 2024 AI Developer Contest. With over a decade of experience in AI, LLM, NLP, and ML, he has led complex AI implementations across finance, technology, and gaming sectors. Previously a Computer Science professor at Georgia Southern University, Mehdi has earned over 2000 citations for his research and conference best paper awards. He has also collaborated with esteemed institutions like the National Science Foundation on advanced AI solutions. Mehdi is the published author of A Practical Approach to Retrieval-Augmented Generation Systems (Oct 2023) and co-host of the TwoSetAI YouTube channel, where he shares cutting-edge RAG techniques.
Angelina Yang
Angelina is a seasoned full-stack data scientist and AI startup founder. She is a two-time fast.ai fellow under Jeremy Howard and holds five patents in machine learning and natural language processing. As a former VP of data and ML, Angelina has built and led high-performing data science teams across industries like finance, fintech, and gaming. She is also a published author and Substack writer, with works on Retrieval-Augmented Generation and Machine Learning Interviews. Winner of Anthropic’s 2024 AI Developer Contest, Angelina continues to share her expertise as co-host of the TwoSetAI YouTube channel.
Join an upcoming cohort
From Engineer to AI Engineer: Build RAG Systems in 1 Weekend
Cohort 2
$799
Dates
Payment Deadline
Course schedule
6 - 10 hours in total
Live Sessions on Saturdays & Sundays
10:00 am - 11:30 am PST
Concept and code walk throughs of building a RAG system end-to-end.
Starting March, 2025
For 1 weekend
One Hands-on Project and Office Hours
5 hours
Office hours: 1 hour
Project: 3 - 4 hours
Offline Contents
2 hours
Good reads to take home for your busy schedule.
Ebook: A Practical Approach to Retrieval Augmented Generation Systems
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.
Get this free resource
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Frequently Asked Questions
Join an upcoming cohort
From Engineer to AI Engineer: Build RAG Systems in 1 Weekend
Cohort 2
$799
Dates
Payment Deadline