Build an AI agent you can use at work. In my new hands-on course, you’ll progress from a basic assistant to production, covering testing, agentic behavior, and monitoring step by step. By the end, you’ll have:

Our next podcast episode is just around the corner, and we have Abouzar Abbaspour joining us to share their knowledge on From Theme Parks to Tesla: Building Data Products That Work on September 8. You won't want to miss this one. Register here: https://t.co/ssi2YAv1wX

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Exciting news! Our next live podcast episode is coming up on September 15! Tune in to hear from @vsmolyakov as we discuss From Algorithms to Agents: Lessons from Building Copilot. Don't miss it! Register Here: https://t.co/zwGfaZv354

Want to join the course? Register here: https://t.co/REMfPMnikB 3/3

You'll build: 🔸 RAG prototype for FAQs, YouTube, and docs 🔸 Data-driven prompt testing 🔸 Agentic flows: function calls, searches, PydanticAI, MCP 🔸 Build an agent for Django websites 🔸 Monitoring with Grafana, LangWatch, Evidently 🔸 Capstone: AI app for your portfolio 2/3

My new AI Bootcamp takes you from RAG to production-ready agents. It covers monitoring, guardrails, and a capstone you can demo to clients and recruiters. 1/3

Register now:

Other key facts: 🔸 All live sessions are recorded within 24 hours, meaning you can complete the course fully asynchronously. 🔸 The course takes ~5 hours/week for live sessions and exercises. Project work is flexible, and you can revisit extra materials later.

This is a new, live program with updated materials, live teaching, and direct interaction with me as an instructor. Compared to the free LLM Zoomcamp, this AI Bootcamp covers advanced use cases, dives deeper into agents, testing, monitoring, and production safety.

What’s special about my new AI Bootcamp? And other frequently asked questions 👇🏼

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The next cohort starts on September 15. Join here: https://t.co/PNK5RX0ngX Or support our efforts with a star on GitHub 😉 https://t.co/vMXxZUEbbC 4/4

To receive a certificate: 🔸 Join our next cohort of the course 🔸 Submit your final projects in time 🔸 Review your peers 3/4

If you want to learn ML, this is an excellent resource for you to start! But there is more: you can also receive a certificate for that course for free. 2/4

ML Zoomcamp collected more than 10k stars on GitHub 🎉 Thank you for your interest and support. ML Zoomcamp is our free course, and of its resources are freely available and stored on this GitHub repo. 1/4

🎓 Want the full course + certificate? Join the next cohort of the ML Zoomcamp, a free, 4-month program on practical ML engineering: https://t.co/PNK5RX0ngX 4/4

This workshop is based on Module 5 of the ML Zoomcamp and is perfect for those looking to level up their ML engineering and MLOps skills. Watch here: https://t.co/rU1Dhv4kGk 3/4

Learn to: 🔸 Train and package ML models 🔸 Convert notebooks into production-ready Python scripts 🔸 Build and test a FastAPI service for real-time predictions 🔸 Use Pydantic for request/response validation 🔸 Containerize your app with Docker 🔸 Deploy to the cloud 2/4

Missed the live workshop on deploying an ML model using FastAPI and uv? The full recording is now available! In this hands-on session, I take a churn prediction model from notebook to production. I cover everything from model training to full containerized deployment. 1/4

A quick demo of what we'll be doing during the workshop: https://t.co/G9fwJ2CTQ6

Last call: Join 700+ participants for today's workshop on MCP and Agents! Learn to: 🔸 Implement an FAQ agent 🔸 Enable search functionality via function calls 🔸 Integrate it with MCP 🔸 Connect to the MCP server using tools like Cursor Register here:

Registration is open, enroll today: