Invite-only community

Turn AI ideas into real projects

A community for action-oriented builders interested in AI engineering and AI tools. Get the structure, focus, and accountability you need to ship practical AI products.

Subscribe for updates View Membership Tiers

Build

Practical AI projects

Ship

With structure & accountability

Grow

Through peer collaboration

Philosophy

Learn by building, together

Designed for motivated learners who prefer learning by doing. Get clear frameworks, direction, and community support to make consistent progress on your projects.

Learning by doing

No passive consumption. Every activity is designed around building, shipping, and getting feedback on real work.

Production-ready

Focus on what actually works in production. Move from prototypes to reliable systems with battle-tested patterns.

Build together

Work alongside other practitioners. Hackathons, projects, and group problem-solving instead of isolated learning.

Calibrate your judgment

Develop better instincts through peer feedback, expert guidance, and exposure to real-world decision-making patterns.

Membership

Choose your level of engagement

Each tier is designed for a different type of builder. More investment means more structure, accountability, and support to help you ship your AI projects consistently.

Monthly Annual (Save ~17%)

What learners say

From the students of our AI Engineering course

AI Shipping Labs community is new, but here's what practitioners say about the courses that inspired it.

"This course helped me understand how to implement a RAG system in Python. From basic system-design of a RAG, to evaluating responses and implementing guardrails, the course gave me a great overview of the necessary skills for implementing and managing my own agent."
R

Rolando

AI Data Scientist · AeroMexico

"I highly recommend the AI Engineering Buildcamp. I learned a tremendous amount. The material is abundant, very well organized, and progresses in a logical and progressive manner. This made complex topics much easier to follow and digest. The instructor Alexey Grigorev is clearly very knowledgeable in the field, and also super helpful and responsive to questions."
J

John

AI Tutor · Meta

"Excellent, comprehensive, and modern course that elevated my knowledge of generative AI from RAG applications to well-evaluated, fully functioning agentic systems. Alexey Grigorev incorporated essential software engineering practices, especially unit testing and evaluation, teaching us how to systematically improve our agents."
Y

Yan

Senior Data Scientist · Virtualitics

"I really enjoyed this course! It made the process of building AI agents both accessible and exciting. The progression from RAG to agents, multi-agent systems, monitoring, and guardrails was clear and practical. I'm walking away inspired and full of new ideas to build on."
S

Scott

Principal Data Scientist, Applied AI · interos.ai

"The course provides an excellent introduction to the core tooling needed to develop an agentic tool. Worth the effort especially given the comprehensiveness of the options and solutions available in the course."
N

Naveen

Software Engineer

"Excellent course, it gets you practicing the concepts you need to know to work on agentic AI. The instructor is accessible, clear, and flexible."
N

Nelson

Practitioner

Event Recordings

Workshops & Learning Materials

Workshop recordings with embedded content, timestamps, descriptions, and materials. Learn from hands-on sessions on building AI agents and practical systems.

View all recordings

Event recordings coming soon. Check back for workshops and learning materials.

From the blog

Publish and share our thinking

Long-form notes, walkthroughs, and experiments. Stay close to how we build and reason.

View all posts

CRISP-DM for AI Engineering: Why a 1996 Framework Still Describes Modern AI Development

See how CRISP-DM still guides AI engineers in 2026, translating each phase into practical workflows for LLM apps, RAG pipelines, and production AI systems.

Mar 11, 2026 14 min read
ai-engineering data-science crisp-dm project-management
Read article

How Claude Code Accidentally Wiped Our AWS RDS Database (24-Hour Recovery)

An incident story: how I accidentally wiped our AWS RDS production database and deleted snapshots by letting Claude Code touch production infrastructure.

Mar 06, 2026 13 min read
ai terraform aws database incident claude-code
Read article

What Is an AI Engineer? 2026 Role, Skills and Responsibilities Based on 1,000+ Job Descriptions

Learn what an AI engineer is in 2026: responsibilities, skills, tools, and real-world use cases based on analysis of 1,000+ AI engineer job descriptions.

Mar 04, 2026 19 min read
ai-engineering ml-engineering careers llm
Read article

Project Ideas

Pet & Portfolio Project Ideas

Project ideas and real projects from people who've taken courses. End-to-end AI applications and agentic workflows you can learn from and build on.

View all project ideas

Test Project

by AI Shipping Labs intermediate

Build a research assistant that uses multiple specialized agents — a searcher, a summarizer, and a fact-checker — coordinated by an orchestrator agent. Learn agent communication patterns, tool use, and how to build reliable multi-step workflows.

agents multi-agent
View idea

Personalization: Intelligent Email Agent

by Asia Amodeo intermediate

Asia Amodeo's intelligent email agent helps manage an inbox. It integrates with the Gmail API, indexes emails in Elasticsearch, and offers a Streamlit chat interface to find specific emails or see what's important for the day, addressing 'email fatigue' by making it easier to sift through communication.

agents gmail-api
View idea

To-Do List Agent

by Alexey Grigorev intermediate

A reference project from the AI Engineering Buildcamp: an agent that interacts with a simple to-do list application. Built with Lovable for the frontend and FastAPI (Python) for the backend. Uses the backend's OpenAPI spec so the model can create tools to get tasks or mark them complete, with Logfire for monitoring and pytest for testing.

agents lovable
View idea

Curated Links

Tools, Models & Courses

Curated GitHub repos, model hubs, and learning resources. Dev tools, local LLMs, and courses to level up.

View all curated links
{# Reusable newsletter subscribe form partial. Include with: include "includes/subscribe_form.html" Optional context variables: - heading: Custom heading text - description: Custom description text - redirect_to: URL to redirect after verification (lead magnet flow) #}

FAQ

Common questions

Action-oriented builders interested in AI engineering and AI tools who want to turn ideas into real projects. Whether you're learning Python or working as an ML engineer, if you have project ideas but need structure, focus, and accountability, this community is for you. We attract motivated learners who prefer learning by doing and builders who contribute back to the ecosystem.

We focus on helping you ship practical AI products, not just consume content. You get clear frameworks, direction, and gentle external pressure to make consistent progress on your projects. The community concentrates highly engaged builders in a focused environment centered on productivity, structured execution, and hands-on project work.

Yes. The community is designed to help you make consistent progress on side projects even with limited time. You get the structure and accountability to stay focused and ship incrementally through projects, hackathons, and collaborative activities.

The Basic tier is designed exactly for this. You get access to exclusive content, tutorials, research, and curated materials without any expectation of community participation. Perfect for self-directed builders who learn at their own pace.

Main tier gives you the structure, accountability, and peer support to ship your AI projects consistently. Includes everything in Basic, plus closed community access, collaborative problem-solving, interactive group coding sessions, guided projects, hackathons, career discussions, and the ability to propose and vote on topics.

Premium tier accelerates your growth with structured learning paths through mini-courses and personalized career guidance. Includes everything in Main, plus access to all mini-courses on specialized topics, the ability to vote on course topics, and professional profile teardowns (resume, LinkedIn, GitHub).

Pick the tier that fits your needs, click the button to check out securely via Stripe, and you'll receive access details by email within 24 hours. You can start with any tier and upgrade or downgrade at any time.

All payments are processed securely through Stripe. You can choose monthly or annual billing (annual saves ~17%). Stripe handles tax calculation automatically based on your location. You'll receive invoices and receipts by email after each payment.

Yes, you're in full control. You can cancel, upgrade, downgrade, or update your payment method at any time through the Stripe Customer Portal. If you cancel, you'll retain access until the end of your current billing period.