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Develop the proficiency and expertise that employers are looking for with specialized training and professional education.

  • 2 Courses in program
  • 6 weeks per course
  • 5 - 9 hours per week
  • English language

Artificial Intelligence and Machine Learning have become integral techniques for most services and products and data is central to robust and successful AI/ML applications. Without solid data management, AI projects frequently underperform or even fail.

This series of MOOCs provides unique insights and key considerations about data for AI. In this program you will discover why is data important to AI and what data AI requires. You will learn basic data engineering skills, including how to setup your Python notebook environment, explore data with advanced Pandas functions, and create simple and clear data visualizations. You will also understand how crowdsourcing offers a viable means of leveraging human intelligence at scale for data creation, enrichment and interpretation and discover its potential to both improve the performance and trustworthiness of AI systems and stimulate the increased adoption of AI in general.

These learnings will provide you with an important set of skills that are essential for career trajectories in the field of Data Science, Machine Learning, and the broader realms of Artificial Intelligence.

Courses

The courses in this program are MOOCs that can be followed for free. In order to earn a certificate a fee is required.

Instructors