AI Engineering Take-Home Assignments

Hosted by Alexey Grigorev

Mon, Mar 9, 2026

5:00 PM UTC (1 hour 30 minutes)

Virtual (Zoom)

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313 students

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AI Engineering Buildcamp: From RAG to Agents
Alexey Grigorev
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What you'll learn

Home Assignments Analysis

Analyze very recent submissions and tasks from Q4 2025 and Q1 2026 to understand current AI hiring standards.

Implementation Discussion

Break down multiple real-world assignment prompts to discuss the most effective architectural approaches and trade-offs.

End-to-End Document Implementation

Build a complete solution for a document-instruction task, focusing on high-accuracy PDF parsing and data extraction.

Why this topic matters

The take-home assignment is where your ability to build production-ready systems is truly measured. By analyzing data from recent hiring cycles in late 2025 and early 2026, you’ll see what top-tier companies expect. You’ll move beyond understanding what is asked to mastering how it’s done, through deep discussion and a full end-to-end implementation of a complex document processing challenge.

You'll learn from

Alexey Grigorev

Principal Data Scientist | Book Author | Instructor to 100k+ Students World-Wide

Alexey Grigorev is the founder of DataTalks.Club and the creator of the popular Zoomcamp series. With 15 years of experience in software engineering and over 12 years in machine learning, he has built and deployed large-scale ML systems at companies like OLX Group and Simplaex.


An advocate for practical, hands-on education, Alexey has taught over 100,000 students, focusing on a code-first approach to help learners build real-world skills.


In the past, he was an active participant in data science competitions. A Kaggle Master, Alexey has achieved top rankings in several challenges, including 1st place in the NIPS'17 Criteo Challenge and 2nd place in the WSDM Cup 2017: Vandalism Detection.


He is also the author of several technical books, including the widely read Machine Learning Bookcamp.

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