LLM Zoomcamp 2026 Course Launch - Alexey Grigorev

In this talk, Alexey shares his expertise on mastering practical AI systems from his personal journey building community-driven data courses to launch tracking the latest iteration of LLM Zoomcamp. We explore the 10-week syllabus, technical foundations of semantic search, and structural strategies for compiling standalone AI portfolio projects.

Links:
- Course: https://github.com/DataTalksClub/llm-zoomcamp/
- Docs: https://datatalks.club/docs/courses/zoomcamp-logistics/ and https://datatalks.club/docs/courses/llm-zoomcamp/
- Learning in public: https://alexeyondata.substack.com/p/benefits-of-learning-in-public-and
- AI Hero: https://aishippinglabs.com/courses/aihero
- AI Engineering Field Guide: https://github.com/alexeygrigorev/ai-engineering-field-guide

You’ll learn about:
- Key differences between exact keyword matching and embedding-based semantic vector search
- Concrete prerequisites including functional programming skills and command-line comfort
- Project completion windows, multi-attempt logistics, and mandatory peer review protocols
- How to format unique datasets from corporate FAQs to personal reference materials
- Acceptable framework guardrails for deploying standalone code alongside AI development tools
- Strategic positioning of custom software portfolios to optimize long-term hiring opportunities

TIMCODES:
00:00 Course Launch and AI Engineering Overview
05:03 Audience Target Profile and Required Skills
12:12 Lexical Text Search vs Vector Search
18:10 Capstone Project Window and Graduation Rules
29:14 Data Sets and Course FAQ Document
37:30 Python Language Prerequisites and AI Coding Assistants
43:26 Study Time Commitment and Prior Year Metrics
1:01:06 Team Formations and Independent Projects Guidelines
1:10:02 Take-Home Interview Project Lists and Domain Selection
1:13:56 Closing Announcements Slack Channels and Telegram Communication

This webinar is designed for software engineers, backend developers, and data scientists looking to pivot into AI engineering. It is ideal for industry professionals aiming to build production-scale RAG applications and validate their architecture choices.

Connect with DataTalks.Club:
- Join the community - https://datatalks.club/slack.html
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- Check other upcoming events - https://lu.ma/dtc-events
- GitHub: https://github.com/DataTalksClub
- LinkedIn - https://www.linkedin.com/company/datatalks-club/
- Twitter - https://twitter.com/DataTalksClub
- Website - https://datatalks.club/

Connect with Alexey
- Twitter - https://twitter.com/Al_Grigor
- Linkedin - https://www.linkedin.com/in/agrigorev/

Check our free online courses:
- ML Engineering course - http://mlzoomcamp.com
- Data Engineering course - https://github.com/DataTalksClub/data-engineering-zoomcamp
- MLOps course - https://github.com/DataTalksClub/mlops-zoomcamp
- LLM course - https://github.com/DataTalksClub/llm-zoomcamp
- Open-source LLM course: https://github.com/DataTalksClub/open-source-llm-zoomcamp
- AI Dev Tools course: https://github.com/DataTalksClub/ai-dev-tools-zoomcamp