🤖 Module 3 of LLM Zoomcamp done!
- AI orchestration with @kestra_io
- Context engineering
- RAG-grounded answers
- AI agents & multi-agent systems
My solution: https://t.co/VBjUauXaBa
Free course by @Al_Grigor & @DataTalksClub: https://t.co/Lx7Wl6LWRW
🔍 Module 2 of LLM Zoomcamp done!
- Embeddings with a lightweight ONNX model
- Vector search from scratch with numpy
- minsearch + chunking
- Keyword vs vector, and hybrid search with RRF
https://t.co/3qVKpj7cZP
Free course by @Al_Grigor & @DataTalksClub: https://t.co/Lx7Wl6LWRW
Los ultimo que sabia de CSS era que Bootstrap después Tailwind CSS , ahora hay que escoger de acuerdo a los componentes
Mejor gasto tokens en centrar un DIV !!
A new cohort of LLM Zoomcamp starts on June 8, 2026.
It’s a free 10-week course where you go from LLM basics to building a production-ready AI assistant.
For this cohort, I'll update the course content during a series of live workshops.
In the course, you'll learn:
- Retrieval-Augmented Generation
- Vector search and embeddings
- AI agents
- Function calling and tool use
- Evaluation of RAG and agentic systems
- Monitoring LLM applications
Join the new cohort and build your LLM application step by step: https://t.co/HgDzeIw0O1
Vibe coding is fast. It’s also unpredictable. Spec-driven development is the alternative: define what to build in a clear spec, then let your coding agent implement it.
In our new spec-tacular short course with @JetBrains and @JetBrains_Edu, you’ll learn how to:
⚙️ Write project constitutions and feature specs
⚙️ Guide agents with a plan–implement–verify workflow
⚙️ Keep outputs aligned with your intent across sessions
Taught by @paulweveritt.
Join in for free ➡️ https://t.co/bjrpN2YgRp
Vibe coding is fast. It’s also unpredictable. Spec-driven development is the alternative: define what to build in a clear spec, then let your coding agent implement it.
In our new spec-tacular short course with @JetBrains and @JetBrains_Edu, you’ll learn how to:
⚙️ Write project constitutions and feature specs
⚙️ Guide agents with a plan–implement–verify workflow
⚙️ Keep outputs aligned with your intent across sessions
Taught by @paulweveritt.
Join in for free ➡️ https://t.co/bjrpN2YgRp
My ML-Zoomcamp midterm project is complete.
It involved developing a Machine Learning model for life expectancy prediction.
It was developed in Python, implementing a set of tools and techniques learned in the course.
- NumPy / Pandas / FastAPI / Scikit-learn
#MLZoomcamp
He terminado mi ML-Zoomcamp midterm project.
El desarrollo de un modelo Machien Learning para la predicción de esperanza de vida.
Se desarrolla en python implementando un conjunto de herramientas y técnicas aprendidas en el curso.
- Numpy / Pandas / FastAPI / Scikit
#MLZoomcamp
The 5-Day AI Agents Intensive course with @kaggle is live! Learn about autonomous AI agents and create your first systems using the Agent Development Kit (ADK), powered by Gemini.
Plus, check out our new Introduction to Agents whitepaper → https://t.co/MGhDGplrbr