Data Science Series:
Azure Machine Learning for Non-Programmers

Build & Deploy Machine Learning Applications using Microsoft Azure Machine Learning

  • AzureML, Machine Learning
  • 25 August 2018
  • 10am - 6pm
  • 30 participants
  • Difficulty: Beginner (Non-Programmers)
  • Language: English
  • Investment: IDR 2,000,000 | 2 credits


Course details :

This 1-day workshop is a beginner-friendly introduction to help students understand — and implement — some of the most widely used, and fundamental, machine learning algorithms using Microsoft Azure Machine Learning.

During this session, you will learn the basic concepts of machine learning, and then follow hands-on examples of choosing an algorithm, running data through a model, and deploying a trained model as a predictive web service. Using Microsoft Azure Machine Learning, you can create applications for predicting everything; from regression, to classifications, to compelling product recommendations.

“In man-machine symbiosis, it is man who must adjust; the machines can’t. ” ~ Alan Perlis

Please bring along:

  • 1x Laptop
  • Purchased ticket (from organizer’s website)
  • Microsoft e-mail account (Hotmail or Outlook)



Uditha Bandara

South East Asia’s First XNA/DirectX MVP (Most Valuable Professional). Consult, trains, and specializes in Microsoft development, AI, Mobile App, Cloud and Software Testing technologies in Hong Kong, Malaysia, Singapore, Indonesia, Sri Lanka, and India.


  • Introduction to Machine Learning Algorithms

    10.00 am – 10.30 am

  • Introduction to Azure Machine Learning Studio

    10.30 am – 11.00 am

  • Basic Regression Machine Learning Experiment

    11.00 am – 12.00 pm

  • Basic Classification Machine Learning Experiment

    12.00 pm – 12.30 pm

  • Publishing Your Experiment as a Web Service

    12.30 pm – 1.00 pm (Lunch break: 1.00 pm – 2.00 pm)

  • Advanced Regression Experiment with Programming

    2.00 pm – 3.00 pm

  • Advanced Classification Experiment with Programming

    3.00 pm – 4.00 pm

  • Recommendations Machine Learning Experiment

    4.00 pm – 5.00 pm

  • R, Python, and Jupyter Notebook on Azure Machine Learning Studio

    5.00 pm – 6.00 pm

Detailed Syllabus

Syllabus: Azure Machine Learning for Non-Programmers

Machine Learning Algorithms

  • Regression
  • Classifications
  • Anomaly detection
  • Product recommendation

Machine Learning Experiments on Azure Machine Learning

  • Azure machine learning overview
  • Publishing your experiment as a web service
  • Basic & advanced regression with programming
  • Basic & advanced classification with programming
  • Recommendation systems machine learning experiment
  • R, Python and Jupyter Notebook on Azure Machine Learning Studio

This workshop will cost 2 workshop credits for subscribers. Non-subscribers are welcomed to participate at a cost of IDR 2,000,000.

Workshop Receivables:

  • Workshop Lecturer’s Notes

    Including 2x Course Books (PDF), HTML files, course transcripts (if any).

  • Highly-accelerated Learning

    Learn under the assistance of mentorship of our lead instructor and a band of qualified teaching assistants throughout the 3 day course.

  • Certification of Completion

    Show current and prospective employers that you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, small group size. Dinners are included for evening workshops.

  • Supplement Materials

    Receive supplement datasets to practice on, reference notes, working files (R Notebook or Jupyter Notebook), and other materials that will help you master the topics.

Data Science Series

Workshops in our Data Science Series are tailored to casual learners, working professionals and non-programmers that are taking their first steps into data science and machine learning.

Students are not assumed to have a working knowledge of R or prior proficiency in statistics / mathematics / algebra. At such the workshop follows a gentle learning curve and emphasize on hands-on, one-to-one tutoring from our team of instructors and teaching assistants.

Consider taking our Data Science Intermediate workshops instead for more advanced-level materials in statistical programming and machine learning.

Past Workshops in this Series:

Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.