My LLM Zoomcamp 2026 project is live! 🇵🇹🍷
A Portuguese Food & Wine RAG assistant. Ask about recipes & wine regions — get answers with citations + Grafana monitoring. 😅
🔗 github.com/RuiFSP/llmzoomcam…
Thanks @DataTalksClub and @Al_Grigor 🙌
#LLMZoomcamp #RAG
🤖 Made with AI
🚀 Module 5 of LLM Zoomcamp complete!
✅ OpenTelemetry tracing for RAG
✅ Distributed spans & trace collection
✅ Token tracking & cost monitoring
✅ Latency profiling & bottleneck identification
✅ Trace persistence & analysis
Free course by @Al_Grigor & @DataTalksClub
🤖 Made with AI
🚀 Module 4 of LLM Zoomcamp complete!
✅Evaluation for RAG retrieval
✅Ground truth + offline metrics
✅ text vs vector vs hybrid search
✅ Hit Rate + MRR
✅ RRF tuning
Free course by @Al_Grigor & @DataTalksClub: github.com/DataTalksClub/llm…
🤖 Made with AI
🤖 Module 3 of LLM Zoomcamp done!
- AI orchestration with @kestra_io
- Context engineering
- RAG-grounded answers
- AI agents & multi-agent systems
Free course by @Al_Grigor & @DataTalksClub: github.com/DataTalksClub/llm…
🤖 Made with AI
🔍 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
Free course by @Al_Grigor & @DataTalksClub: github.com/DataTalksClub/llm…
🤖 Made with AI
🤖 Module 1 of LLM Zoomcamp done!
- RAG from scratch in plain Python
- Search with minsearch
- Chunking
- Agents & function calling
My solution: github.com/RuiFSP/llm-zoomca…
Free course by @Al_Grigor & @DataTalksClub: github.com/DataTalksClub/llm…
I built an end-to-end batch pipeline using GCS, BigQuery, Terraform, Bruin, and Streamlit to turn raw GitHub events into analytics-ready insights.
repo: github.com/RuiFSP/dezoomcamp…
#DataEngineering #DEZoomcamp #DataTalksClub #Bruin #BigQuery #GCP
Module 7 complete: Stream Processing with Redpanda + PyFlink ✅
- Produced 49,416 Green Taxi Oct 2025 trips to Redpanda in ~3s
- TUMBLE(5 min) window: top zone PULocationID 74 with 15 trip
#DataEngineering #ApacheFlink #Redpanda #StreamProcessing
🤖 Made with AI
Module 6 complete: Batch Processing with Spark by @DataTalksClub
Spark correctness depends on details like partitioning and timestamp handling, not only on writing transformation
#DataEngineering #Spark #PySpark #BatchProcessing
Finished the @dltHub workshop from @DataTalksClub ✅
Built a custom API → dlt → DuckDB pipeline, with page-by-page pagination + validation.
#dlthub #dezoomcamp #zoomcamp #dataengineering
📊 Module 5 of Data Engineering Zoomcamp done!
- Data Platforms with Bruin
- End-to-end ELT pipelines
- Data quality & lineage
- Deployment to BigQuery
Free course by @DataTalksClub : github.com/DataTalksClub/dat…
Module 4 complete: Analytics Engineering with dbt ✅
Built data transformations:
• 8 dbt models in 3 layers (staging → intermediate → core)
• Hybrid approach: Local dbt Core CLI + Cloud BigQuery
#DataEngineering #BigQuery #dbt @DataTalksClub
Module 3 complete: Data Warehousing & BigQuery ✅
Built optimized data warehouse:
• 20.3M taxi records in BigQuery
• Partitioning by date: 91% cost reduction (310MB → 27MB)
• Clustering by VendorID for faster queries
#DataEngineering #BigQuery @DataTalksClub
Module 2 of DE Zoomcamp by @DataTalksClub @wrussell1999 done!
- @kestra_io workflow orchestration
- ETL pipelines for taxi data
- Backfill & scheduling
- Variables & dynamic flows
Module 1 complete: Containerization & Infrastructure as Code ✅ @DataTalksClub
• #Docker Compose orchestrating #PostgreSQL + pgAdmin
• #Python ETL processing 46K NYC taxi records
• #SQL analytics on trip patterns and zones
• #Terraform provisioning GCP resources
Rui Pinto retweeted
Anthropic launched a free 9-chapter prompt-engineering masterclass with hands-on exercises, advanced techniques, and a GitHub playground perfect for improving AI prompting skills
github.com/anthropics/prompt…
Rui Pinto retweeted
After hundreds of Kaggle competitions and years of trial, error, and wins, our team @ChrisDeotte @The0Viel @0verfit @giba1, have compiled a playbook for tabular modeling—a system that’s carried us to the top of leaderboards and held up on real-world data.
developer.nvidia.com/blog/th…
Finished the Agents & MCP Workshop in #LLMZoomcamp @DataTalksClub
- Learned about agentic RAG, function calling, and MCP for multi-agent orchestration.
- Built agent tools & tested workflows
#AI #Agents #RAG #MCP
Just finished the Data Ingestion Module Workshop from #LLMZoomcamp @DataTalksClub
✅ Built ELT pipelines with dlt
✅ Created a knowledge graph with Cognee
✅ Tagged concepts with Node Sets
✅ Made API docs searchable





















