DataTalksClub ⬛

AI in Industry: Trust, Return on Investment and Future - Maria Sukhareva

Large Hadron Collider and Mentorship - Anastasia Karavdina

MLOps as a Team - Raphaël Hoogvliets

DataTalks.Club 4th Anniversary AMA Podcast - Johanna & Alexey

Human-Centered AI for Disordered Speech Recognition - Katarzyna Foremniak

Using Data to Create Liveable Cities - Rachel Lim

DataOps, Observability, and The Cure for Data Team Blues - Christopher Bergh

Working as a Core Developer in the Scikit-Learn Universe - Guillaume Lemaître

Building a Domestic Risk Assessment Tool - Sabina Firtala

Community Building and Teaching in AI & Tech - Erum Afzal

Working in Open Source - Probabl.ai and sklearn - Vincent Warmerdam

AI for Ecology, Biodiversity, and Conservation - Tanya Berger-Wolf

MLOps Zoomcamp 2022 - Office Hours #2

Data Ingestion From APIs to Warehouses - Adrian Brudaru

Open-Source Spotlight - PrimeHub - Poga Po

Data Incident Management with Soda and dbt - Bastien Boutonnet

Open-Source Spotlight - Pandera - Niels Bantilan

Introduction to NLP for Industry Use - Ivan Bilan

ML Zoomcamp Office Hours - Week #2

Feature Selection in Machine Learning with Python - Soledad Galli

A Framework for Feature Engineering and Machine Learning Pipelines - Jacques Peeters

Open-Source Spotlight - Quix Streams - Tomas Neubauer

Build a Django Coding Agent with OpenAI Tools | Prompt Engineering and Function Calling Tutorial

Setting Up AI Projects for Success - Jan Zawadzki

ML Zoomcamp 1.7 - Introduction to NumPy

Bayesian Modeling and Probabilistic Programming - Rob Zinkov

Open-Source Spotlight - OpenMetadata - Alberto Miorin

Developer Advocacy Engineer for Open-Source - Merve Noyan

PyFlink Stream Processing Tutorial: Build a Real-Time Pipeline with Kafka, Redpanda and Python

ML Zoomcamp 2025 Pre-Course Live Q&A | Free Machine Learning Course

Data Engineering Zoomcamp 2025 - Launch stream

MLOps Zoomcamp 2024 Pre-Course Live Q&A - Alexey Grigorev

How to Deploy Machine Learning Models with FastAPI, Docker, and Fly.io | End-to-End Tutorial

I Want to Build a Machine Learning Startup! - Elena Samuylova

Roles in a data team - Alexey Grigorev

Load Testing ML Microservices for Robustness and Scalability - Emmanuel Raj

Maximizing Confidence in Your Data Model Changes with dbt and PipeRider - Dave Flynn

ML Zoomcamp Office Hours - Week #3 (by Dmitry Muzalevskiy)

Deep Learning with PyTorch: Build, Train and Deploy an Image Classifier | Step-by-Step Tutorial

How to Ingest REST API Data & Build a Graph-Based RAG with dlt + Cognee: From Raw Docs to Reasoning

Putting Data Science in Production - Mikio Braun

From APIs to Warehouses: AI-Assisted Data Ingestion with dlt - ​Aashish Nair

How to write data pipelines with Apache Airflow® 3.0 - Timothy Davis

Open-Source Spotlight - Super Gradients - Harpreet Sahota

Conversational AI - Merve Noyan

From Hackathons To Developer Advocacy - Will Russell

Building an Open-Source Feature Store with Apache Flink - Roman Grebennikov

Vector Databases: Embeddings, Semantic Search, and Hybrid Retrieval - Alexey Grigorev

From Software Engineering to Machine Learning - Santiago Valdarrama

Open-Source Spotlight - Metarank - Roman Grebennikov

ML System Design Interviews: Production ML, Features, A/B Testing & MLOps | Valerii Babushkin

Identity Resolution Essentials from a Data Scientist - Nathan Wang

What Is DataOps? Automating Data Pipelines & Reducing Errors | Chris Bergh

Feature Engineering for Time Series Forecasting - Kishan Manani

Speeding up Python Code 500x - Jamie Broomall