Build AI yourself!

Machine Learning Operating System 101

Hands On Workshop

Join us on September 20, 2020

Don't miss out, registration is limited to 250 spots and closes in...

  • 00Days
  • 00Hours
  • 00Minutes
  • 00Seconds

Book your spot today!

Online hands-on workshop to learn...

  • Artificial Intelligence

    What is artificial intelligence?
    What is a machine learning model?

  • Data Types

    Tabular, time Series, vision and NLP data?
    How can I organize my data?

  • Data Preparation

    How to wrangle and pre-process data?
    How to make datasets?

  • Machine Learning

    Classification, regression, deep learning?
    How to build, evaluate, tune, and validate models?

  • Deployment

    How to deploy models?
    How to use APIs for real-time prediction?

In addition to the expert-led workshop, you will also receive a FREE 7-day trial to mlOS, the machine learning operating system!

Register today for only…

Prices in USD



Join industry experts for a 4-hour expert-led online workshop. This is is a hands-on activity. Learn machine learning by building models YOURSELF!

Three dates to remember!

September 10, 2020

Registration Deadline

Registration closes and is limited to 250 spots.

September 10, 2020

September 15, 2020

Workshop Data Sent

The challenge, data, and instructions are sent along with access to mlOS, machine learning Operating System for 7 days at no cost.

September 15, 2020

September 20, 2020

Hands-On Workshop

Solve the challenge. This is not a talk. You will do it, see tips and tricks. Ask questions. Practice ML with an expert!

September 20, 2020

Itinerary for September 20, 2020

Time Item
9:00 a.m - 9:50 a.m Introduction to the mlOS 101 challenge
The data science process
The types of data: Tabular, NLP, Time Series and Vision/Images
9:50 a.m - 10:00 a.m Technology check
10:00 a.m - 12:00 p.m Solve the challenge
Load data, exploration, analysis, engineering
Use SVM, Neural Network and other algorithms to build models
Document and review models
Deploy model API as a real-time predictive app
Test model, score unknown data and get predictions
12:00 p.m - 12:10 p.m Break
12:10 p.m - 01:00 p.m Q&A
Tips and Tricks
Learning resources to practice modeling

Meet the Instructors

Padma Paul

Dr. Padma Paul

The Data Dr.

20+ years experience in AI, ML, research, and industrial software. In Alberta, he built commercial AI applications for pipeline leak detection, SAGD production optimization, emission detection, optimization of non-productive time, and several others.

B.Sc. M.Phil., and a Ph.D. in Computer Science. Ranked 7th in all Computer Science Ph.D. Students for research in Computer Science and 1st in AI and Applied Machine Learning among all universities/labs in Canada. Post-Doctoral Fellow in Oxford Computational Neuroscience (OxCNL) at the University of Oxford. Fellowship at the Brain Science Foundation, US.

Kwame Asiedu

Kwame Asiedu

The ML Builder

15+ years of experience in data science and architecture in big data mining and analytics, deep machine learning, pattern recognition, digital signal processing, system design and analysis, biometrics, and IoT. Worked as Director of an Artificial Intelligence lab at ATB that applied ML in banking. First in the world work includes a conversation recommendation engine that increases the Lifetime Value of customers into a financial virtual assistant running on Facebook.

B.Sc. in Computer Science and Psychology and a M.Sc. in Geomatics Engineering. Certified Information Systems Auditor and a Professional Member of APEGA, IEEE, and ISACA.

We will solve a ML challenge together

Join us on September 20, 2020

You will get a use case, data, and step-by-step instructions to sign-up a few days in advance of this workshop