Thank you to our speakers, instructors, attendees, and partners for an amazingly successful event.


ODSC Europe
Virtual Conference

September 17th – 19th

Virtual Conference

October 27th – 30th

Virtual Conference


East 2021 –




October 27th – 30th, 2020  

Data Science Virtual Training
Conference & Expo

Save 60% |  EARLY BIRD ends Soon


Applied AI: Diamond Partner


Silver Partners


Hands-On Workshops & Tutorials

Designed to help you apply machine learning now

Hands-on Workshops

90 minutes workshops will get you using hands-on coding to solve real-world problems

90 Minute Tutorials

90 minute tutorials give you time to delve deep into a specific topic or area. Code examples are provided for self-testing after the session

Live and On-Demand

All sessions are live so you can get real-time feedback.  Sessions are recorded too, to give you on-demand access for a limited time

Confirmed Workshop and Tutorial Sessions

  • AI Crash Course – Adding ML to Your Projects in an Hour

  • Don’t Fear Bias in AI – Instead, It Can Be a Massive Opportunity

  • Architecting Advanced AI Applications

  • The Big Reveal: Finding New Insights with AutoML

  • Introduction to MLOps: The Concepts and Strategies that Get Models Reliably into Production

  • Advanced MLOps: Instrumenting CI/CD Workflows in DataRobot MLOps

  • Just You and AI: How a Business Leader Learned AI

  • Adding Machine Learning to Your Software Projects in Just an Hour 

  • Deep Learning in 10 Minutes or Less with AutoML


4 Unique Tracks Tailored to Your Role


Data Scientists

Learn the languages, algorithms, and tools from some of the industry’s leading data scientists

Software Engineers

Learn to build applications that are powered by artificial intelligence

MLOps & DevOps

Learn best practices for managing, maintaining, and scaling AI models in production

Business Analysts

Take a code-free step towards incorporating AI into business 

  • Machine Learning

  • Deep Learning

  • Bias and Trust in AI

  • Visual AI

  • AutoML

  • Upskill to Machine Learning

  • Automatic Machine Learning (AutoML)

  • Deep Learning for Software Engineers

  • Machine Learning for Software Engineers

  • Introduction to MLOps

  • MLOps Concepts and Strategies

  • Data and Machine Learning Pipelines

  • Advanced MLOps Strategies

  • Understand how other business leaders leverage AI

  • Boost skills to use AI to gain insights

  • Learn to leverage automation

  • Understanding Data Bias and Explainability

Important Workshop Prerequisite 

To facilitate the hands-on sessions, we are delighted to announce that DataRobot, our diamond partner, is providing hands-on session attendees with free access to their AI platform. 

Many of our workshops  and tutorials will utilize the AI Platform for instruction and collaboration. It automates the end-to-end process for building, deploying, and maintaining AI at scale and also provides feature engineering, auto model evaluation, and advanced machine learning techniques. It comes preloaded with models and datasets so you can get started prior to the event.  Please note: YOU MUST BE REGISTERED TO GET FREE ACCESS to the AI Platform

How will ticket holders get access to the event?

  • Attendees will receive an email with login instructions 3-5 days before the event.  If you have trouble logging in or haven’t receive any details be July 13th, please email

What are the technical requirements to be able to participate?

Applied AI Instructors

More Applied AI Instructors Coming Soon

More Applied AI Instructors Coming Soon

Who Should Attend

Data Science Track

  • Junior, Senior, and Principal Data Scientists

  • Citizen Data Scientists

  • Machine Learning Engineers

  • Deep Learning and NLP Engineers

Software Engineering Track

  • Junior, Senior, and Principal Software Engineers

  • Software Architects

  • Full Stack Developers

  • CTOs, CIOs, and other Engineering Manage-ment

MLOps and DevOps Track

  • Data Engineers

  • DevOps Specialists

  • IT Infra-structure  Experts

  • Data Scientist, ML Engineers, and others looking to understand MLOps

Data Analyst Track

  • Data Analysts

  • B.I. Analysts

  • Business Analysts

  • Business Managers and Executives