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Foundations of Machine Learning, Kambria EduKATionWe are pleased to announce the launch of our new course: Foundations of Machine Learning. Built by leading AI experts in Silicon Valley and Vietnam, this course will provide students with the knowledge and skills needed to start a career in the field of Artificial Intelligence. Beginners are welcome and encouraged to register! The course starts August 31, 2020.

Industrial Revolution 4.0 is on a rapid move. Vietnam’s Government has identified Artificial Intelligence ( AI ) technology as a top priority since 2014. The Government and enterprises are currently investing in research and putting AI into practice. AI should increase the profitability of workers and therefore generate incentives to stimulate strong economic development. Therefore, research and learning about AI becomes more essential than ever.

Foundations of Machine Learning is an international-quality AI course for Vietnamese students, advised by top AI experts in Silicon Valley and Vietnam. The course is built on the cooperation of three reputable technology organizations: VietAI as a training organization; Kambria as an educational platform to help connect students with instructors; and John Von Neumann Institute as a knowledge partner.

The main topics of the course include Machine Learning algorithm groups:

  • Supervised learning
  • Unsupervised learning
  • Semi-supervised learning
  • Reinforcement learning

Students will practice algorithms through practical exercises. They will also master coding skills with Python language, get acquainted with NumPy library, TensorFlow 2.0, Matplotlib, Google Colab, and Pandas.

Start date: August 31, 2020
Learning style: 100% online. Learn actively on any type of device.
Course duration: 6 weeks, 3 – 4 hours/week
Level: Beginner
Prerequisites: Basic programming skills, basic knowledge of Algebra, Analysis
Language: Vietnamese
Certification: Provided by VietAI

Tuition: 3,480,000 VND / 150 USD
Early bird price: 2,320,000 VND / 100 USD (until August 24, 2020)

Why you should take this course:

  • Learn the basics of AI and stay up-to-date with the latest technologies

  • Gain knowledge to continue taking advanced courses: Basic Deep Learning & Advanced Deep Learning

  • Learn the modern platform in Kambria that allows students to be proactive in time and equipment

  • Students are given a certificate approved by VietAI after completing the course

  • Students are connected with the AI developer community in Vietnam and Silicon Valley

  • Get connected with the Kambria developer community; participate in competitions, events and technology projects

  • Top students will be introduced to leading technology companies in Vietnam and Silicon Valley

  • Students are connected with lecturers and get answers to questions through webinars held every 2 weeks.

  • Interact with teachers and other students through online forum discussion

Scholarships are available! 

We will be awarding 25 scholarships to various participants with 10 going to female students.

  • 10 scholarships for female students worth 50% of the tuition

  • 5 scholarships for top students worth 50% of the tuition

  • 10 ELSA Speak Premium accounts for top students (1-year membership, worth $75 per account)

To learn more about the course and to register, go to the Kambria eduKATion course page. Remember to register by August 24th to receive our early-bird discounted price. See you in class!


Kambria is the first decentralized open innovation platform for Deep Tech (AI, Robotics, Blockchain, VR/AR…). Using our platform, anyone can collaborate in researching, developing and commercializing innovative ideas and get rewarded fairly for their contributions. Through partnerships with government agencies, top universities and leading companies, Kambria is dedicated to building a sustainable open innovation ecosystem to change the way we innovate and to accelerate advanced technology development and industry adoption. Together, let’s shape the future of technology where technology is open and contributing more to society.

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