🚀 Build Real AI Products, Not Just Prototypes
The End-to-End AI Engineering Bootcamp is an 8-week, cohort-based experience designed to turn technical professionals into full-stack AI engineers who can confidently design, build, and deploy production-grade AI systems.
🛠️ What You’ll Build
You’ll develop your own capstone project - a real-world AI application built sprint by sprint, applying each week’s concept to solve a business-relevant use case. By the end, you’ll present it live on Demo Day, with a working repo and deployed app you can showcase to hiring managers, CTOs, or investors.
🧑💻Technologies include:
✔️ LLM APIs (Gemini, Claude, GPT, etc.).
✔️ Vector databases & RAG.
✔️ AI agent libraries (LangChain, LangGraph, CrewAI).
✔️ Docker, FastAPI, Kubernetes, cloud deployment.
✔️ Observability, evaluation, and performance testing.
✔️ Modern communication protocols (A2A, MCP).
🧠 How It Works
Each week follows a real engineering sprint:
Sprint Lesson (Monday): Self-paced learning with videos, cheatsheets & reference code.
Sprint Review (Tuesday): Live walkthrough with Aurimas + deep Q&A.
Sprint Build Lab (Thursday): Live coding session to implement key sprint features.
Bonus QnA and Feedback sessions.
What you’ll learn
Master end-to-end AI engineering - transform prototypes into production-ready apps with LLMs, RAG & agents in just 8 weeks.
Learn directly from Aurimas
Aurimas Griciunas
LinkedIn Top Voice in AI • Founder & CEO @ SwirlAI • Former CPO @ Neptune.ai
Who this course is for
Data Professionals (Analysts & Scientists)
Looking to move beyond analysis and modeling to build and deploy real-world AI systems.
ML Engineers
Who want to deepen GenAI skills and master scalable, production-ready AI engineering from end to end.
Data Engineers
Ready to expand into AI by learning how to integrate data pipelines with LLMs, RAG, and agent-based systems.
What's included
Live sessions
Learn directly from Aurimas Griciunas in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Code-along Recordings
30+ Hours of pre-recorded coding videos that you can follow while building out your Capstone.
Extensive Reading Materials
200+ Pages of reading material that you can refer to during and after the Bootcamp.
Compute Credits
$500 in Modal Compute Credits.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
21 live sessions • 47 lessons • 8 projects
Week 1
Jan
13
Sprint Review: Project framing, tooling overview, and repo setup
Tue 1/134:00 PM—6:00 PM (UTC)Jan
15
Sprint Build Lab: Set up development environment and scaffold project repo
Thu 1/154:00 PM—6:00 PM (UTC)
Jan
12
End-to-end AI Engineering bootcamp Prep
Sprint 0 – Problem Framing & Infrastructure Setup
Jan
16
Office Hours
Week 2
Jan
20
Sprint Review: Walkthrough of RAG structure and MVP objectives
Tue 1/204:00 PM—6:00 PM (UTC)Jan
22
Sprint Build Lab: Implement and evaluate your first end-to-end RAG pipeline
Thu 1/224:00 PM—6:00 PM (UTC)
Sprint 1 – Build the First Working RAG Prototype
Free lesson
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Deploy Reliable AI Systems with LLMOps
What Is LLMOps
Learn what LLMOps is and why it’s essential for production-ready LLM applications.
Build Observability into AI Systems
Learn how to evaluate and monitor LLM-based systems to detect failures before they reach users.
Build Your Roadmap
Create a clear step-by-step LLMOps plan that fits your team’s tools, workflows, and stage of AI adoption.
Schedule
Live sessions
5 hrs / week
Mon, Jan 12
4:00 PM—5:00 PM (UTC)
Fri, Jan 16
4:00 PM—5:00 PM (UTC)
Fri, Jan 30
4:00 PM—5:00 PM (UTC)
Projects
7 hrs / week
Async content
5 hrs / week
Frequently asked questions
Save 25% until Monday
$1,800
USD