Mock Interviews for AI Engineering Roles
We will run two mock hiring-manager interviews for volunteer participants, focused on AI engineering roles. The format is useful for most software engineering interviews too. Each interview will roug…
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We will run two mock hiring-manager interviews for volunteer participants, focused on AI engineering roles. The format is useful for most software engineering interviews too. Each interview will roug…
Series: LLM Zoomcamp 2026 office hours
6 sessions · Mon, Jun 15, 2026 – Mon, Aug 03, 2026 · 2 upcoming sessions
We will come up with a topic and implement it.
We will come up with a topic and implement it.
In this workshop we take a CV that's not focused on AI engineering roles and make it more relevant. We build a pipeline where: a renderer turns YAML into Harvard-style CVs we take my CV (focused on …
We take the FAQ agent from the first deployment workshop and build an evaluation framework around it. We leave the agent unchanged, so all the new work goes into the surrounding pipeline. That pipeli…
API costs get expensive fast when you run many model calls. In this workshop we'll look at where you can deliberately trade latency for lower cost, especially for evaluations where results usually do…
For many learners, the hardest part of a portfolio or capstone project is not the implementation. It is choosing what to build. People often postpone the decision because they want a better idea. T…
Picking a portfolio project is where most people stall. There are too many options, and the default move is to grab a technology you want to learn and bolt a demo onto it. That produces a buzzword de…
A hands-on session to understand Vercel end to end: what it is, what it gives you, and how to actually ship to it. What we'll explore: - What Vercel is and where it fits (hosting, serverless / edge f…
We take the FAQ agent from the earlier deployment workshops and ship it on Vercel. The same agent answers Data Engineering Zoomcamp questions. Now a Next.js app serves the UI and a serverless functio…
In the last workshop, Cloudflare Vectorize and Cloudflare Workers came up as one of the items worth a closer look. In this 2-hour hands-on session we figure out how to actually use them together. Wha…
We take the FAQ agent from the earlier deployment workshops and move the whole online path to Cloudflare. The Worker serves the UI and API, Workers AI embeds the query and generates the answer, and V…
Recording: https://www.youtube.com/watch?v=16EUIZQTiAo Notes: https://docs.google.com/document/d/1rn_2B6UdOVSQH8rHOpMyajhXeFtIcwFDgo9d9QsqDyU/edit?tab=t.0
In the previous workshop, we focused on turning an AI agent or RAG-style prototype into a structured FastAPI backend. We covered the backend setup, API structure, configuration, and the foundation fo…
We take the FAQ agent from the End-to-End Agent Deployment workshop and change how it finds answers. That agent searched the FAQ with minsearch, an in-memory keyword index rebuilt from scratch on eve…
We will come up with a topic and implement it
Serving an open-source model yourself means renting a GPU and running an inference server on it. In this workshop we take a quantized DeepSeek model and rent a GPU by the hour on RunPod. We serve it …
We solve a real AI engineer take-home assignment live. The product is a small investment coaching bot that answers public-company research questions without crossing into personalized financial advic…
We start from the FastAPI service we deployed to Railway in the previous workshop. We strip out FastAPI and swap it for a custom AWS Lambda runtime. The runtime handles both the static frontend and t…