Machine Learning Specialization

Understand the principles and application of machine learning for modern-day problems.



Get in touch with our friendly team of English and Bahasa Indonesia-speaking consultants to enroll!

Specialization details:

An intensive Machine Learning specialization strives for a fine balance between practical applications and mathematical rigor in teaching essential machine learning concepts. By taking a learn-by-building approach, you will learn to develop regression and classification algorithms and incorporate them into real-life solutions or data products/business applications.

The modules in all the workshops follow our project-based learning philosophy to this specialization. The course capstone requires that the student build a real-world application under stringent criteria modeled after real business scenarios.

Courses in Machine Learning Specialization:

Program Receivables:

  • Cutting Edge Curriculum

    The only Data Science bootcamp that has a curriculum drawn from engagement with corporate training and industry participation. Course Books (PDF & HTML files), datasets for practice, reference notes, and working files (R Notebook or Jupyter Notebook) are accessible through our Learning Management System account.

  • Project Oriented Learning

    Work with real-life cases and learn under the mentorship of our qualified instructors throughout the 2-month course. Create a personal portfolio with projects to showcase your skills and knowledge on stage during our Data Career Day.

  • 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.

  • Engaging Community

    Be a part of our data-passionate community with 5000+ members and 300+ alumni.

A Structured Approach to Learning Data Science

The Machine Learning Specialization is an 8-week bundle curated to accelerate a student’s mastery in building data products, developing machine learning models, and understanding the core components that form most of industrial-grade AI today.

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

Throughout the course of the Academy, you will learn to build, evaluate and deploy your data science products, one project after another. Upon graduation, our team of career support executives and mentors will assist you onto the path of a data science role in a reputable company.

Learn data science by building:

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.

Frequently Asked Questions

Yes! This program is open for those who does not have technical background previously. You will be taught the basics such as programming fundamentals and practical statistics; enabling this program to be opened to whoever who does not have techical background.

The training program from the Machine Learning track is address to those who are beginners up to intermediate level. The output of this program is to ensure that graduates have the right skills to:

  • Collect, clean, process and analyze data, modeling, create machine learning algorithm that can predict, forecast, and provide decision making recommendations based on the data that is available.

During our 2 months Machine Learning track, students must be able to commit to 4 days per week (Monday – Thursday) at 13:00-16:00 or 18:00-21:30 during the week and should expect to spend some time outside of the learning hours and over weekends to complete project work. As with any instruction, students will get as much out of the program as they put into it.

Yes, if you require help with financing, we work with financing partners to help you ease the financial burden so that you can learn with us.




Starts on September 17, 2024!

(Application Deadline: September 13, 2024)