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.

Led by Aurimas Griciunas - LinkedIn Top Voice in AI, ex-CPO at Neptune.ai, and creator of the SwirlAI newsletter - you’ll gain deep, hands-on experience with Retrieval-Augmented Generation (RAG), agentic systems, memory, observability, and scalable deployments.

💡 Why This Bootcamp?

AI is no longer experimental. Businesses are investing in production-grade AI products, and teams need engineers who can go from idea to infrastructure, from prototype to product. This course is built to reflect that reality.

You won’t just learn what RAG or agents are - you’ll learn when to use them, how to build them, and why certain architectures scale better than others. You’ll move beyond demos and notebooks to ship a complete, working solution.

🛠️ 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).

What's new in September Cohort:

✅ Deep focus on Evals: you will get the value of dedicated eval courses and more.

✅ Context Engineering hands-on deep dives for different levels of Agentic System complexity.

✅ RAG Data Ingestion Pipeline using Airflow.

💰 Additional Perks.

Each student will receive $500 in Modal Credits for cloud compute and deployment.

🧠 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.

📌 Every concept you learn is applied directly to your project. No filler. No fluff. Just real-world engineering skills.

🏁 What You’ll Leave With

✅ A working AI product you can demo.

✅ The skills to scope, architect, and ship production AI systems.

✅ Deep confidence working with RAG, agents, and LLM infrastructure.

✅ A process-driven mindset to lead AI projects in real teams.

✅ A permanent access to learning materials of future cohorts.