A technical community for action-oriented builders who want to ship practical AI products.
Structure, focus, and accountability for AI engineering and AI tools — built by the team behind DataTalks.Club.
Website · About · Courses · Project Ideas · Blog · Membership · FAQ
Contents: Quick Start · About · What You Get · Courses · Project Ideas · Resources · Repos · Contributing
New here? Be building within minutes.
- Read about the community — what AI Shipping Labs is and who it's for
- Pick a course — hands-on, project-first learning paths
- Browse project ideas — end-to-end AI applications you can learn from and build on
- Join the conversation — we build in public
AI Shipping Labs is designed for action-oriented builders interested in AI engineering and AI tools who want to turn ideas into real projects. Whether you're learning Python or already working as an ML engineer, this community gives you the structure, focus, and accountability to ship practical AI products.
We focus on learning by doing:
- Hands-on courses with real projects
- Curated project ideas and reference implementations
- Workshops and recorded sessions
- Blog posts and long-form walkthroughs
- Curated links to tools, models, and courses
Founded by Alexey Grigorev and Valeriia Kuka — the same team behind DataTalks.Club and the Zoomcamp series of free, code-first courses that have reached 100,000+ learners globally.
| What we focus on | How we work |
|---|---|
| AI engineering | Learning by doing |
| LLMs & AI agents | Project-first courses |
| RAG, search & evaluation | Reference projects |
| Production-ready patterns | Workshops & recordings |
| Tooling & workflows | Blog & curated resources |
| Track | What it is | Links |
|---|---|---|
| Courses | Structured learning paths with video lessons, hands-on exercises, and homework | Browse courses |
| Workshops | Live and recorded hands-on sessions on building AI agents and practical systems | View workshops |
| Project Ideas | End-to-end AI applications and agentic workflows with reference implementations | Browse project ideas |
| Blog | Long-form notes, walkthroughs, and experiments on how we build and reason | Read the blog |
| Curated Links | Curated GitHub repos, model hubs, dev tools, local LLMs, and learning resources | Browse resources |
| Interview Prep | Materials for AI engineering roles | Interview prep |
Each course includes video lessons, hands-on exercises, and homework assignments.
| Course | Level | What you build | Links |
|---|---|---|---|
| AI Hero: 7-Day AI Agents Crash-Course | Beginner to intermediate | A complete AI agent from data ingestion to deployment — RAG, search, function calling, evaluation, and web deployment | Free |
| Python for AI Engineering | Beginner | Python by building a real running project: a podcast aggregator | Premium |
Project ideas and real projects from people who've taken the courses — end-to-end AI applications and agentic workflows you can learn from and build on.
| Project | Level | What you learn | Links |
|---|---|---|---|
| Multi-Agent Research Assistant | Intermediate | A searcher, summarizer, and fact-checker coordinated by an orchestrator agent. Agent communication, tool use, reliable multi-step workflows | View idea |
| To-Do List Agent | Intermediate | An agent that interacts with a to-do app. Lovable frontend, FastAPI backend, OpenAPI-driven tool use, Logfire monitoring, pytest | View idea |
| Photo-to-Story AI Pipeline | Beginner | Turn a photo of an everyday object into a short story — expandable with illustration, audio, and a podcast feed. Multimodal pipelines (vision, text, speech) | View idea |
See the full list of project ideas for more.
| Resource | Description | Links |
|---|---|---|
| Curated Links | Curated GitHub repos, model hubs, dev tools, local LLMs, and courses | Browse |
| Blog | Tutorials, walkthroughs, and experiments on building AI systems | Read |
| Workshops | Recorded hands-on sessions with embedded content, timestamps, and materials | Watch |
| Interview Prep | Materials to prepare for AI engineering roles | Review |
| Repository | Description |
|---|---|
| website | AI Shipping Labs website |
| workshops | Public workshop code |
| awesome-ai-engineering | Curated AI engineering resources |
| python-course-code | Code for the Python for AI Engineering course |
| banner-generator | Generate branded banners and PDFs from HTML templates |
This organization holds the public-facing code and teaching materials for AI Shipping Labs. Ways to contribute:
- Open issues or pull requests in our repositories
- Suggest project ideas for Projects
- Share feedback on courses and workshops
- Spread the word about the community
For questions, contact the team via aishippinglabs.com.
