Thrilled to announce that Engineers from Microsoft, Revolut, Shopify, Visa, and Cisco just enrolled in my AI Engineering cohort. ...

35 experienced engineers in 3 days.

Here's where they're coming from:

→ Technical Consultant at Microsoft

→ Senior Data Scientist at Revolut

→ Senior Engineering Manager at Autodesk

→ Senior Software Engineer at Shopify

→ Technical Leader at Cisco

→ Systems Engineer at Visa

→ Senior Product Manager at Walmart Global Tech

→ Principal Engineer at Cubic Telecom

→ Principal Applied Scientist at Jupiter Money

→ Staff Software Engineer at Skylight

→ Data Engineering Lead at DT One

→ Director of Technology Strategy at Believ

→ Associate Professor at West Virginia University

These are experienced engineers who build systems at scale.

They're not looking for another beginner AI tutorial.

They're not looking to "learn Python for ML."

They want a structured path into AI engineering, one that starts from the fundamentals and ends with the ability to build production systems for their organizations.

That's exactly what the Engineer's RAG Accelerator offers.

Here's what you're signing up for:

→ LLM fundamentals: how they work, why they hallucinate, and what RAG actually solves

→ Data ingestion: turning messy, real-world enterprise data into RAG-ready formats

→ Retrieval deep dive: chunking, embeddings, hybrid search, reranking, two-stage architectures

→ Evaluation-driven development: build your eval layer from scratch with RAGAS, DeepEval, and golden datasets

→ Production engineering: cost-accuracy-latency tradeoffs, caching, orchestration, observability, security

→ A capstone project you can deploy and show your team

→ Learn with a community of experienced engineers from around the world

6 weeks. 45+ hours of content.

Weekly live office hours with me.

Daily cohort support.

You don't need AI experience to join.

You need engineering experience and the drive to build.

By the end, you'll have the skills to start building RAG systems for your own organization, systems that actually scale.

Only 15 spots left out of 50.

(enrol now, filling fast)

Got questions? Drop it in the comments or DM me, happy to answer each one