Announcing the End-to-End AI Engineering Bootcamp.
Also join me this Thursday in a free Lightning Lesson on how to break into AI Engineering.
👋 I am Aurimas. I write the SwirlAI Newsletter with the goal of presenting complicated Data related concepts in a simple and easy-to-digest way. My mission is to help You UpSkill and keep You updated on the latest news in GenAI, MLOps, Data Engineering, Machine Learning and overall Data space.
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After months of planning, conversations with dozens of engineers, and many late nights building and iterating I finally have some big news!
I’m incredibly excited to finally open enrolment for my new cohort-based course: the End-to-End AI Engineering Bootcamp.
You can check it out an enrol here:
This course is structured around weekly sprints - just like real AI teams work.
Each week, you’ll scope a feature, build it, test it, and improve it.
From RAG pipelines to agent orchestration and deployment, we’ll move through the same iterative process used by AI engineers shipping real systems.
Over 8 weeks, you will:
Build a full-stack AI app (from idea -> deployed).
Master RAG, agentic and multi-agent systems.
Implement LLMOps best practices: Evaluation, Observability, continuous feedback loops and more.
Learn automated prompt engineering.
Apply emerging technologies like MCP and A2A.
Leave with a robust project you can actually showcase.
If you are:
Data Analyst, Data Scientist, ML Engineer, Data Engineer or Software Engineer trying to re-skill and break into AI Engineering.
AI Engineer that has some experience in building agentic systems but wants to up-skill.
AI Leader that wants to up-skill their teams (encourage them to enrol!).
This bootcamp is for you.
We kick off June 23rd. Hope to see you there!
Free Lightning Lessons.
I will also be hosting a series of free lightning lessons along the way. The first one is happening this Thursday already.
Register here:
In this session, I’ll walk through:
What AI Engineering actually is (and what it’s not).
The end-to-end process of building AI systems - from problem framing to deployment.
The specific skills needed at each stage of that process.
How to map your current experience into this evolving role.
If you’re a data scientist, ML engineer, software engineer, or technical team lead - this session is for you.
You’ll walk away with a clear mental model, a structured process, and a practical starting point to grow your impact in AI.
Amazing!
The course syllabus looks amazing man!