Events

We host multiple types of events:

• Webinars – events on Tuesday, with slides, mostly technical
• Live podcasts – events on Friday, a discussion without slides, the recording is published as a podcast
• Workshop – hands-on tutorials about technical topics
• Conference – bigger events with multipe talks, both webinar-type talks and podcast-type talks

📅 Pro tip: you can also subscribe to our Google calendar to get notified about all our events (subscribing works from desktop only).

Upcoming events

• Terraform: Reshaping the Data Engineering Experience on 04 Dec 2023 by Andrei Tserakhau
• How to Boost Your Impact as A Data Professional on 05 Dec 2023 by Shachar Meir
• Introduction to Data Engineering Zoomcamp on 18 Dec 2023 by Alexey Grigorev

Past events

• Prompt Engineering 101 by Krzysztof Ograbek (watch on youtube)
• The Entrepreneurship Journey: From Freelancing to Starting a Company by Adrian Brudaru (watch on youtube)
• Large Language Models Agents by Anish Shah (watch on youtube)
• Become a Data Freelancer by Dimitri Visnadi (watch on youtube)
• AI for Digital Health by Maria Bruckert (watch on youtube)
• Cracking the Code: Machine Learning Made Understandable by Christoph Molnar (watch on youtube)
• The Unwritten Rules for Success in Machine Learning by Jack Blandin (watch on youtube)
• The Trade-off Between Simplicity And Optimality In Problem-solving by Arman Jabbari (watch on youtube)
• From a Research Scientist at Amazon to a Machine learning/AI Consultant by Verena Weber (watch on youtube)
• Machine Learning with Ray: Supercharge Your GPU Clusters by Sadik Bakiu (watch on youtube)
• From Marketing to Product Owner in Search by Lera Kaimashnіkova (watch on youtube)
• Collaborative Data Science in Business by Ioannis Mesionis (watch on youtube)
• Bridging Data Science and Healthcare by Eleni Stamatelou (watch on youtube)
• Make Data Magical with Mage by Matt Palmer (watch on youtube)
• DataTalks.Club Anniversary Interview by Alexey Grigorev, Johanna Bayer (watch on youtube)
• Data Engineering for Fraud Prevention by Angela Ramirez (watch on youtube)
• From Data Manager to Data Architect by Loïc Magnien (watch on youtube)
• Pragmatic and Standardized MLOps by Maria Vechtomova (watch on youtube)
• Introduction to ML Engineering and ML Zoomcamp by Alexey Grigorev (watch on youtube)
• Democratizing Causality by Aleksander Molak (watch on youtube)
• Mastering Data Engineering as a Remote Worker by José María Sánchez Salas (watch on youtube)
• The Good, the Bad and the Ugly of GPT by Sandra Kublik (watch on youtube)
• LLMs for Everyone by Meryem Arik (watch on youtube)
• Investing in Open-Source Data Tools by Bela Wiertz (watch on youtube)
• Building a Group Wide Data Lakehouse for Data Science & BI by Loïc Magnien (watch on youtube)
• Why Machine Learning Design is Broken by Valerii Babushkin (watch on youtube)
• Interpretable AI and ML by Polina Mosolova (watch on youtube)
• From Scratch to Success: Building an MLOps Team and ML Platform by Simon Stiebellehner (watch on youtube)
• Data Plumbing without the poop by Tommy Dang (watch on youtube)
• Identity Resolution Essentials from a Data Scientist by Nathan Wang (watch on youtube)
• From MLOps to DataOps by Santona Tuli (watch on youtube)
• Data Developer Relations by Hugo Bowne-Anderson (watch on youtube)
• MLOps Zoomcamp - Experiment Tracking with Weights and Biases by Soumik Rakshit (watch on youtube)
• Building and Scaling a Machine Learning Platform by Magdalena Kuhn (watch on youtube)
• Lessons Learned from Freelancing and Working in a Start-up by Antonis Stellas (watch on youtube)
• Data Access Management by Bart Vandekerckhove (watch on youtube)
• Data Strategy: Key Principles and Best Practices by Boyan Angelov (watch on youtube)
• From Data to Deployment by Agostino Calamia (watch on youtube)
• Practical Data Privacy by Katharine Jarmul (watch on youtube)
• Introduction to MLOps and MLOps Zoomcamp by Alexey Grigorev (watch on youtube)
• Building Scalable and Reliable Machine Learning Systems by Arseny Kravchenko (watch on youtube)
• Open Source MLOps on Public Cloud by Andreea Munteanu (watch on youtube)
• Machine Learning in Digital Identity by Geo Jolly (watch on youtube)
• Effective Domain-Driven Design for Machine Learning Products by Larysa Visengeriyeva (watch on youtube)
• Building an Open-Source NLP Tool by Johannes Hötter (watch on youtube)
• Navigating Industrial Data Challenges by Rosona Eldred (watch on youtube)
• Fraud Detection with Graph Features and GNN by Nikita Iserson (watch on youtube)
• Mastering Self-Learning in Machine Learning by Aaisha Muhammad (watch on youtube)
• The Secret Sauce of Data Science Management by Shir Meir Lador (watch on youtube)
• SE4ML - Software Engineering for Machine Learning by Nadia Nahar (watch on youtube)
• Starting a Consultancy in the Data Space by Aleksander Kruszelnicki (watch on youtube)
• Biohacking for Data Scientists and ML Engineers by Ruslan Shchuchkin (watch on youtube)
• Maximizing Confidence in Your Data Model Changes with dbt and PipeRider by Dave Flynn (watch on youtube)
• GitOps for ML: Converting Notebooks to Reproducible Pipelines by Rob De Wit (watch on youtube)
• Analytics for a Better World by Parvathy Krishnan (watch on youtube)
• Accelerating the Adoption of AI through Diversity by Dânia Meira (watch on youtube)
• Staff AI Engineer by Tatiana Gabruseva (watch on youtube)
• Navigating Career Changes in Machine Learning by Krzysztof Szafanek (watch on youtube)
• The Journey of a Data Generalist: From Bioinformatics to Freelancing by Jekaterina Kokatjuhha (watch on youtube)
• Practical Learning-to-Rank: Deep, Fast, Precise by Roman Grebennikov (watch on youtube)
• Preparing for a Data Science Interview by Luke Whipps (watch on youtube)
• Indie Hacking by Pauline Clavelloux (watch on youtube)
• Doing Software Engineering in Academia by Johanna Bayer (watch on youtube)
• Bring Your Own Data by Alexey Grigorev (watch on youtube)
• Modern Data Pipelines in AdTech - Life in the Trenches by Roksolana Diachuk (watch on youtube)
• Observing Python Applications Using Prometheus by Jessica Greene, Vanessa Aguilar (watch on youtube)
• Data-Centric AI by Marysia Winkels (watch on youtube)
• Keeping Your Model In Production by Amber Roberts (watch on youtube)
• Business Skills for Data Professionals by Loris Marini (watch on youtube)
• Introduction to Bayesian Inference for Parameter Estimation by Prasoon Shukla (watch on youtube)
• From Software Engineer to Data Science Manager by Sadat Anwar (watch on youtube)
• Teaching and Mentoring in Data Analytics by Irina Brudaru (watch on youtube)
• Technical Writing and Data Journalism by Angelica Lo Duca (watch on youtube)
• From Digital Marketing to Analytics Engineering by Nikola Maksimovic (watch on youtube)
• Building an ML Service Platform from the Ground Up by Sean Sheng (watch on youtube)
• Product Owners in Data Science by Anna Hannemann (watch on youtube)
• Machine Learning Workflows in Production by Krzysztof Szafanek (watch on youtube)
• Building Data Science Practice by Andrey Shtylenko (watch on youtube)
• Large-Scale Entity Resolution by Sonal Goyal (watch on youtube)
• Data Monetization with Machine Learning by Tomek Jamiński (watch on youtube)
• From Data Science to DataOps by Tomasz Hinc (watch on youtube)
• Data Science Career Development by Katie Bauer (watch on youtube)
• A Practical Guide to A/B Testing in MLOps by Sadik Bakiu (watch on youtube)
• From Testing Phones to Managing NLP Projects by Alvaro Navas Peire (watch on youtube)
• Effective Machine Learning Inside Your Database by Patricio Cerda Mardini (watch on youtube)
• Responsible and Explainable AI by Supreet Kaur (watch on youtube)
• Building the Modern Geospatial Data Stack by Ramiro Aznar (watch on youtube)
• Data Incident Management with Soda and dbt by Bastien Boutonnet (watch on youtube)
• Probabilistic Demand Forecasting at Scale by Hagop Dippel (watch on youtube)
• Leading Data Research by David Bader (watch on youtube)
• Feature Selection in Machine Learning with Python by Soledad Galli (watch on youtube)
• Dataset Creation and Curation by Christiaan Swart (watch on youtube)
• Data Mesh 101 by Zhamak Dehghani (watch on youtube)
• Three Stages of Real-Time Data Monitoring by Sage Elliott (watch on youtube)
• Growing Data Engineering Team in a Scale-Up by Mehdi OUAZZA (watch on youtube)
• Lessons Learned About Data & AI at Enterprises by Alexander Hendorf (watch on youtube)
• Feature Engineering for Time Series Forecasting by Kishan Manani (watch on youtube)
• MLOps Architect by Danny Leybzon (watch on youtube)
• Decoding Data Science Job Descriptions by Tereza Iofciu (watch on youtube)
• Speeding up Python Code 500x by Jamie Broomall (watch on youtube)
• Data Science for Social Impact by Christine Cepelak (watch on youtube)
• Hiring Data Science Talent by Olga Ivina (watch on youtube)
• From Open-Source Maintainer to Founder by Will McGugan (watch on youtube)
• Best MLOps Practices for Building End-to-End ML Projects by Alex Kim (watch on youtube)
• Designing a Data Science Organization by Lisa Cohen (watch on youtube)
• Building the End to end Roadmap for your Data by Mary Jane Dykeman (watch on youtube)
• Developer Advocacy Engineer for Open-Source by Merve Noyan (watch on youtube)
• Data Scientists at Work by Mısra Turp (watch on youtube)
• Freelancing and Consulting with Data Engineering by Adrian Brudaru (watch on youtube)
• Getting a Data Engineering Job by Jeff Katz (watch on youtube)
• Using Data for Asteroid Mining by Daynan Crull (watch on youtube)
• Machine Learning in Marketing by Juan Orduz (watch on youtube)
• Recommender Systems for Digital Advertising by Nataliya Portman (watch on youtube)
• From Academia to Data Analytics and Engineering by Gloria Quiceno (watch on youtube)
• Mitigating Bias with the XAI Toolbox by Serg Masis (watch on youtube)
• Teaching Data Engineers by Jeff Katz (watch on youtube)
• Data Quality and Reliability with Soda Core by Vijay Kiran (watch on youtube)
• From Roasting Coffee to Backend Development by Jessica Greene (watch on youtube)
• Building Machine Learning Pipelines with Kedro by Merel Theisen (watch on youtube)
• Recruiting Data Engineers by Nicolas Rassam (watch on youtube)
• Federated Learning to the Rescue by Orlando Hohmeier, Jan Schlicht (watch on youtube)
• Storytime for DataOps by Christopher Bergh (watch on youtube)
• Analytics Use Cases Across Non-Automated Operations by Delina Ivanova (watch on youtube)
• Machine Learning and Personalization in Healthcare by Stefan Gudmundsson (watch on youtube)
• Hands-On Data Monitoring with whylogs by Danny Leybzon (watch on youtube)
• Innovation and Design for Machine Learning by Liesbeth Dingemans (watch on youtube)
• Modern Data Warehouse by Rahul Jain (watch on youtube)
• Hacking Your Data Career by Marijn Markus (watch on youtube)
• Productionizing a Feature Store for Fraud Detection at Ubisoft by Jeanine Harb (watch on youtube)
• Visualising Machine Learning by Meor Amer (watch on youtube)
• From Math Teacher to Analytics Engineer by Juan Pablo (watch on youtube)
• From Data Science to Data Engineering by Ellen König (watch on youtube)
• The Unspoken Relationship - Product Managers and Data Scientists by Sivan Biham (watch on youtube)
• Helping People Get Jobs with Data by Padma Chitturi (watch on youtube)
• Becoming a Data Engineering Manager by Rahul Jain (watch on youtube)
• Monitoring Model Performance with Crowdsourcing by Magdalena Konkiewicz (watch on youtube)
• A/B Testing by Jakob Graff (watch on youtube)
• Load Testing ML Microservices for Robustness and Scalability by Emmanuel Raj (watch on youtube)
• Machine Learning System Design Interview by Valerii Babushkin (watch on youtube)
• Career Coaching by Lindsay McQuade (watch on youtube)
• Product Management Essentials for Data Professionals by Greg Coquillo (watch on youtube, listen on anchor.fm)
• Software Testing for Machine Learning Pipelines by Arseny Kravchenko (watch on youtube)
• Recruiting Data Professionals by Alicja Notowska (watch on youtube, listen on anchor.fm)
• DataTalks.Club Behind the Scenes by Eugene Yan, Alexey Grigorev (watch on youtube, listen on anchor.fm)
• Fraud Detection in Financial Industry by Kate Ogochukwu Nwankwo (watch on youtube)
• Becoming a Data Science Manager by Mariano Semelman (watch on youtube, listen on anchor.fm)
• Leading NLP Teams by Ivan Bilan (watch on youtube, listen on anchor.fm)
• AI in Fashion - Size & Fit by Nour Karessli (watch on youtube)
• AI-Powered Computer Vision Applications in Media Industry by Yulia Pavlova (watch on youtube)
• Product Management for Machine Learning by Geo Jolly (watch on youtube, listen on anchor.fm)
• Hypothesis Testing: Bayesian or Frequentist? Two ways of looking at the same coin by Andre Schumacher (watch on youtube)
• Moving from Academia to Industry by CJ Jenkins (watch on youtube, listen on anchor.fm)
• Paradoxes in Data Science by Pier Paolo Ippolito (watch on youtube)
• Advancing Big Data Analytics: Post-Doctoral Research by Eleni Tzirita Zacharatou (watch on youtube, listen on anchor.fm)
• Notebooks in Production - Fun or not Fun? by Nick Bilozerov (watch on youtube)
• Becoming a Data Product Manager by Sara Menefee (watch on youtube, listen on anchor.fm)
• Back-of-the-Envelope Calculation For Machine Learning Projects by Larysa Visengeriyeva (watch on youtube)
• Introduction to NLP for Industry Use by Ivan Bilan (watch on youtube)
• Data Science Manager vs Data Science Expert by Barbara Sobkowiak (watch on youtube, listen on anchor.fm)
• Algorithmic Fairness by Gráinne McKnight (watch on youtube)
• Ace Non-Technical Data Science Interviews by Nick Singh (watch on youtube, listen on anchor.fm)
• The War of Gradient Boosted Trees by Naomi Nguyen (watch on youtube)
• Becoming a Solopreneur in Data by Noah Gift (watch on youtube, listen on anchor.fm)
• Building Business Acumen for Data Professionals by Thom Ives (watch on youtube, listen on anchor.fm)
• PyTorch Contributor's Guide: How and Why? by Emil Bogomolov (watch on youtube)
• Conquering the Last Mile in Data by Caitlin Moorman (watch on youtube, listen on anchor.fm)
• Similarities and Differences between ML and Analytics by Rishabh Bhargava (watch on youtube, listen on anchor.fm)
• Building an Open-Source Feature Store with Apache Flink by Roman Grebennikov (watch on youtube)
• Building and Leading Data Teams by Tammy Liang (watch on youtube, listen on anchor.fm)
• Introduction to Transformers for NLP by Olga Petrova (watch on youtube)
• What Researchers and Engineers Can Learn from Each Other by Mihail Eric (watch on youtube, listen on anchor.fm)
• Doing Good with Data by Marijn Markus (watch on youtube)
• Modern Data Stack for Analytics Engineering by Kyle Shannon (watch on youtube)
• Introducing Data Science in Startups by Marianna Diachuk (watch on youtube, listen on anchor.fm)
• Machine Learning Observability by Aparna Dhinakaran (watch on youtube)
• Defining Success: Metrics and KPIs by Adam Sroka (watch on youtube, listen on anchor.fm)
• Getting Started with Network Analytics in Python by Eric Sims (watch on youtube)
• Making Sense of Data Engineering Acronyms and Buzzwords by Natalie Kwong (watch on youtube, listen on anchor.fm)
• Make Your First ML Chatbot by Rachael Tatman (watch on youtube)
• Mastering Algorithms and Data Structures by Marcello La Rocca (watch on youtube, listen on anchor.fm)
• Building Streaming Analytics: The Journey and Learnings by Maxim Lukichev (watch on youtube)
• Chief Data Officer by Marco De Sa (watch on youtube, listen on anchor.fm)
• Freelancing in Machine Learning by Mikio Braun (watch on youtube, listen on anchor.fm)
• Orchestrating Enterprise ML Workload Jobs Across Clouds by Srivathsan Canchi, Alex Chung (watch on youtube)
• Launching a Startup: From Idea to First Hire by Carmine Paolino (watch on youtube, listen on anchor.fm)
• Unboxing Design Docs for Data Scientists by Vincent Tatan (watch on youtube)
• Modeling the Human Brain by Jessie Yaros (watch on youtube)
• The Importance of Data Quality by Fabiana Clemente (watch on youtube)
• Why Your Search Relevance Project Will Fail by Doug Turnbull (watch on youtube)
• Humans in the Loop by Lina Weichbrodt (watch on youtube, listen on anchor.fm)
• Running from Complexity by Ben Wilson (watch on youtube, listen on anchor.fm)
• Setting Up AI Projects for Success by Jan Zawadzki (watch on youtube)
• DataTalks.Club Summer Marathon: Machine Learning in Production by Jan Zawadzki, Ben Wilson, Lina Weichbrodt, Doug Turnbull, Fabiana Clemente (watch on youtube)
• I Want to Build a Machine Learning Startup! by Elena Samuylova (watch on youtube, listen on anchor.fm)
• Big Data Engineer vs Data Scientist by Roksolana Diachuk (watch on youtube, listen on anchor.fm)
• Build Your Own Data Pipeline by Andreas Kretz (watch on youtube, listen on anchor.fm)
• From Software Engineering to Machine Learning by Santiago Valdarrama (watch on youtube, listen on anchor.fm)
• DataTalks.Club Summer Marathon: Career in Data by Santiago Valdarrama, Daliana Liu, Andreas Kretz, Roksolana Diachuk, Elena Samuylova (watch on youtube)
• Analytics Engineer: New Role in a Data Team by Victoria Perez Mola (watch on youtube, listen on anchor.fm)
• Ingestion and Historization in the Data Lake by Illia Todor (watch on youtube)
• Data Governance by Jessi Ashdown, Uri Gilad (watch on youtube, listen on anchor.fm)
• Conversational AI by Merve Noyan (watch on youtube)
• What Data Scientists Don’t Mention in Their LinkedIn Profiles by Yury Kashnitsky (watch on youtube, listen on anchor.fm)
• Productionizing ML Systems without Fear nor Heroism by Nastasia Saby (watch on youtube)
• Becoming a Data-led Professional by Arpit Choudhury (watch on youtube, listen on anchor.fm)
• A Framework for Feature Engineering and Machine Learning Pipelines by Jacques Peeters (watch on youtube)
• How to Market Yourself (without Being a Celebrity) by Shawn Swyx Wang (watch on youtube, listen on anchor.fm)
• Hands-on AI Observability by Andy Petrella (watch on youtube)
• From Physics to Machine Learning by Tatiana Gabruseva (watch on youtube, listen on anchor.fm)
• Setting up an A/B Testing Framework by Agnes van Belle (watch on youtube)
• What I Learned After Interviewing 300 Data Scientists by Oleg Novikov (watch on youtube, listen on anchor.fm)
• Reinforcement Learning for Search by Roman Grebennikov (watch on youtube)
• Effective Communication with Business for Data Professionals by Lior Barak (watch on youtube, listen on anchor.fm)
• Evaluation Store: a New Category of ML Engineering Tools by Josh Tobin (watch on youtube)
• Data Observability: The Next Frontier of Data Engineering by Barr Moses (watch on youtube, listen on anchor.fm)
• Data Mesh in Practice by Max Schultze (watch on youtube)
• Shifting Career from Analytics to Data Science by Andrada Olteanu (watch on youtube, listen on anchor.fm)
• Data Science for Social Good by Filipa Castro, Agnieszka Mikołajczyk (watch on youtube)
• Transitioning from Project Management to Data Science by Ksenia Legostay (watch on youtube, listen on anchor.fm)
• Deep Learning Recommender Systems by Cristian Martinez, Ilia Ivanov (watch on youtube)
• Building and Growing Online Communities by Demetrios Brinkmann (watch on youtube, listen on anchor.fm)
• Bodywork: GitOps for Machine Learning by Alex Ioannides (watch on youtube)
• DataOps 101 by Lars Albertsson (watch on youtube, listen on anchor.fm)
• Active and Self-Supervised Learning for Data Selection by Igor Susmelj (watch on youtube)
• The Essentials of Public Speaking for Career in Data Science by Ben Taylor (watch on youtube, listen on anchor.fm)
• Building Scalable End-to-End Deep Learning Pipelines in the Cloud by Rustem Feyzkhanov (watch on youtube)
• Continuous Integration for Machine Learning by Elle O'Brien (watch on youtube)
• Machine Learning Design Patterns by Sara Robinson (watch on youtube)
• Putting Data Science in Production by Mikio Braun (watch on youtube)
• 10 Foundational Practices of Machine Learning Engineering by Larysa Visengeriyeva (watch on youtube)
• DataTalks.Club Conference: ML in Production by Larysa Visengeriyeva, Mikio Braun, Sara Robinson, Elle O'Brien (watch on youtube)
• New Roles and Key Skills to Monetize Machine Learning by Vin Vashishta (watch on youtube, listen on anchor.fm)
• Career Transitioning into Data Science by Parul Pandey (watch on youtube)
• Personal Branding by Admond Lee Kin Lim (watch on youtube, listen on anchor.fm)
• The ABC’s of Data Science by Danny Ma (watch on youtube, listen on anchor.fm)
• DataTalks.Club Conference: Career in Data by Danny Ma, Admond Lee Kin Lim, Parul Pandey, Vin Vashishta (watch on youtube)
• Translating ML Predictions Into Better Real-World Results with Decision Optimization by Dan Becker (watch on youtube, listen on anchor.fm)
• How Your Machine Learning Project Will Fail by Elena Samuylova (watch on youtube)
• Dangers of Dirty Data by Susan Walsh (watch on youtube)
• Building Data-Intensive Teams by Elias Nema (watch on youtube)
• DataTalks.Club Conference: Product and Process by Elias Nema, Susan Walsh, Elena Samuylova, Dan Becker (watch on youtube)
• Building an ML System for Southeast Asia’s Largest Hospital Group by Eugene Yan (watch on youtube)
• Build Your AI Machine Vision System by Yourself by Mahmoud AbdelAziz (watch on youtube)
• How to use AI in Consumer Food Product Innovation by Himanshu Upreti (watch on youtube)
• Industrial Applications of Reinforcement Learning by Phil Winder (watch on youtube)
• DataTalks.Club Conference: ML Use Cases by Phil Winder, Himanshu Upreti, Mahmoud AbdelAziz, Eugene Yan (watch on youtube)
• Feature Stores: Cutting through the Hype by Willem Pienaar (watch on youtube, listen on anchor.fm)
• The Rise of MLOps by Theofilos Papapanagiotou (watch on youtube, listen on anchor.fm)
• Getting Started with Open Source by Vincent Warmerdam (watch on youtube, listen on anchor.fm)
• Machine Learning for Customer Service by Neal Lathia (watch on youtube)
• Developer Advocacy for Data Science by Elle O'Brien (watch on youtube, listen on anchor.fm)
• Machine Learning Performance Monitoring by Emeli Dral (watch on youtube)
• The Importance of Writing in a Tech Career by Eugene Yan (watch on youtube, listen on anchor.fm)
• Data Versioning Explained by Itai Admi (watch on youtube)
• Mentoring by Rahul Jain (watch on youtube, listen on anchor.fm)
• AWS Glue DataBrew by Dmitry Muzalevskiy (watch on youtube)
• Standing out as a Data Scientist by Luke Whipps (watch on youtube, listen on anchor.fm)
• Deploying Serverless Machine Learning with AWS by Sejal Vaidya (watch on youtube)
• Building a Data Science Team by Dat Tran (watch on youtube, listen on anchor.fm)
• Processes in a Data Science Project by Alexey Grigorev (watch on youtube, listen on anchor.fm)
• Essential Communication Skills for Data Professionals by David Gates (watch on youtube)
• Fighting Fraud with Triplet Loss by Artemii Frolov (watch on youtube)
• Roles in a Data Team by Alexey Grigorev (watch on youtube, listen on anchor.fm)
• Customer Segmentation 2.0 by Nishant Mohan (watch on youtube)
• Deploying models with AWS Sagemaker by Dmitry Muzalevskiy (watch on youtube)