The path to democratize AI starts with one class

Artificial Intelligence (AI) is like a superhighway, it’s moving fast, evolving, and growing quickly. Like most things in life, data scientists are not born with AI and Machine Learning(ML) knowledge. They learn it. Learning is a journey. 

At H2O.ai, we are on a mission to democratize AI. To help every company become an AI company. Companies are also on an AI transformation journey.  AI is being used to improve decision making by leveraging data to better find patterns, predict behavior, mitigate risk, understand customers, and optimize supply chains. Every day there is a growing number of AI use cases across all industries around the world.  But how do you get started and join this AI transformation?  You need an on-ramp, an on-ramp to the AI superhighway.

We are pleased to announce a new on-ramp to AI, the H2O.ai Learning Center.  If you are new to AI and ML or looking to get more hands-on, you need to have an on-ramp to help lay a good foundation of core AI and ML skills.  Before you ask, don’t worry this is free.  We strongly believe that if we are going to democratize AI, not only do we need great AI tools but also to democratize the knowledge of AI. We have created two online instructor lead courses to get you started:

AI Foundations Course

  • Who: Anyone and everyone (especially your non-technical colleagues)
  • Technical skills: basic statistics and data processing, no programming required
  • Focused on introducing key concepts and learning the business aspects of AI
  • Starts:  June 30th, 2020
  • Sessions: 34
  • Cost: Free
  • Taught by: expert data scientists, business leaders, training team, AI evangelists and Kaggle Grand Masters

ML Foundations Course

  • Who: Folks w AI Foundation skills
  • Technical skills: basic Python or R and statistics 
  • Focused on getting hands-on with machine learning
  • Starts: Aug 27th, 2020
  • Sessions: 45
  • Cost: Free
  • Taught by: expert data scientists, business leaders, training team, AI evangelists and Kaggle Grand Masters

The AI and ML foundations will also be offering study hall sessions to help review the week’s content and help answer your weekly questions.

Part of learning is evaluating how you are doing. The learning center is offering quizzes for tutorials and courses.  If you pass the quiz we will recognize your knowledge achievement by issuing a badge.  You can share your badge online on LinkedIn, Twitter, and Facebook.  I took and passed the first two AutoML Driverless AI tutorials and you can see these badges on my Linkedin profile.

Or add it to your Twitter:

Who is the H2O.ai Learning Center for?

  • If you are new AI and want to get started
  • If you are familiar with AI but want to get hands-on with ML Foundations course.
  • If you are a student in the ai academic program and looking to get more hands-on
  • An experienced data scientist looking to learn more about AutoML and Data Science at Scale with free self-paced tutorials.
  • Looking for an instructor lead course to learn more about Driverless AI, H2O-3, and Sparkling Water

Discover self-paced free tutorials on AutoML and Driverless AI and H2O-3 and earn a collection of badges.  These tutorials will help you take your first steps in AutoML and data science at scale.

Sign up for the H2O.ai course on Driverless AI, H2O-3, and Sparkling Water.

This new learning center would not have happened without the excellent team of H2O makers. A special thanks and appreciation to Franklin, James, Ana, Chemere, David W, David E, Parul, Sanyam, Jo-Fai, Ben, Dan, Ingrid, Edgar and Elena.

Are you ready to take your next step? Ready to go on the AI on-ramp?  Explore, sign up for courses, or start immediately with self-paced tutorials.

About the Author

Rafael Coss

Rafael Coss is a Community and Partner Maker at H2O.ai. Prior to joining H2O.ai, he was technical marketing and community Director and a developer advocate at Hortonworks. He was also the DataWorks Summit Program Co-Chair for the past 3 years. Prior to Hortonworks he was a Senior Solution Architect and Manager of IBM’s WW Big Data Enablement team. At IBM he was responsible for the technical product enablement for BigInsights and Streams. Previously, he held several other positions in IBM, where he worked on tools, XML db, federated db and Object-Relational db.

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