No-Code Machine Learning: Practical Guide to Modern ML Tools


  • The course has no prerequisites and is open to anyone with no or basic programming knowledge.
  • Students who enroll in this course will master Machine Learning fundamentals and directly apply these skills to solve real world challenging problems.


Do you want to leverage the power of Machine Learning without writing any code?

Do you want to break into Machine Learning, but you feel overwhelmed and intimidated?

Do you want to leverage Machine Learning for your business, but you don’t have data science or mathematics background?

If the answer is yes to any of these questions, you came to the right place!

This course is the only course available online that empowers anyone with zero coding and mathematics background to build, train, test and deploy machine learning models at scale.

Machine Learning is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects.

Machine learning is the study of algorithms that teach computers to learn from experience. Through experience (i.e.: more training data), computers can continuously improve their performance. Machine Learning techniques are widely used in several sectors nowadays such as banking, healthcare, transportation, and technology.

In this course, we will cover top 3 brand new tools to build, train and deploy cutting edge machine learning models without writing a single line of code! We will cover the new Google Vertex AI, Microsoft Azure Machine Learning Designer, and DataRobot AI.

Who this course is for:

  • Anyone who’s interested in building practical real-world Machine Learning applications but doesn’t have any coding skills (or have basic coding skills).
  • Beginner Machine Learning engineers wanting to advance their careers and build their portfolio without writing any code.
  • Business owners wanting to transform businesses by leveraging machine learning.
  • Beginner Data Scientists who are passionate about Machine Learning and want to gain real-world practical experience.
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