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Artificial Intelligence-Powered Augmented Data Science Certificate

The job market for data science professionals continues to grow - LinkedIn data shows that Artificial Intelligence Specialist is one of the top jobs for 2020.  With new tools and technologies, data science positions continue to trend up while adding new components from associated fields.  Today's contemporary practice of data science goes beyond merely the tasks of data gathering, data curation, and trend analysis.  Comprehensive data science techniques include Artificial Intelligence (AI) and Machine Learning (ML), while larger projects include computer vision, natural language processing, and consumer behavior analytics.  These emerging AI and ML methodologies can help data scientists take significant multi-structured datasets and process them with unprecedented ease.  Data science professionals must keep up with these technological advancements in data science and upgrade their skill set. 

Our course focuses on upgrading data scientists' skills by introducing applications of AI methodologies in data science.  Students learn to build and implement AI-powered models using TensorFlow, Keras, and Python.  The course is best suited for individuals interested in data science, data analytics, and AI-related careers.  Managers and corporate executives considering projects in big data, ML, AI, and large-scale business intelligence can also benefit from this course.  Basic knowledge of data science and some familiarity with Python is required.  The program will be delivered in eight full-day sessions spread over eight Saturdays, utilizing a hands-on project-based approach including lectures by subject matter experts with real-world operational experience. 

Program Objectives

After successfully completing this program, students will be able to:

  • Assess and analyze data science projects that can benefit from the infusion of AI methodologies
  • Undertake the required mixed data engineering tasks
  • Build AI-infused business intelligence and data science models
  • Build AI-based models that discover insight and act on them automatically
  • Successfully test and implement AI-infused data analytics solutions


  • Prior background or work experience in Data Science and familiarity with Python,
  • Completion of Emory's Continuing Education past course in Big Data Analytics
  • Completion of Emory Continuing Education’s Advanced Tableau Data Analytics program 

Technology Requirements

Students are required to own a laptop computer that can be brought with them to class.

About Artificial Intelligence

Artificial Intelligence (AI) is the study and creation of intelligent entities -- software or machine -- that can perceive environments and manipulate them logically, often mimicking human abilities. AI feeds on large data sets and gains intelligence through algorithmic learning.

AI is a game-changing technology for customer acquisition, automation, design, research, and product development. A recent Massachusetts Institute of Technology/Sloan Management review study found that more than 84% of executives have prioritized AI adoption for competitive advantage.

While AI continues to disrupt global business, an acute shortage of AI talent is hindering progress – this skills gap has resulted in skyrocketing demand for AI professionals. Average salaries in 2019 for AI-related roles range from ~$140,000-$145,000.*


Who is it for?

Students must meet the prerequisites listed above.

This course is designed to upgrade data scientists' skills by introducing AI's role and practice in data science. It is best suited for individuals interested in data science, data analytics, and AI-related careers.  Managers considering big data, ML, and AI projects, BI, and data science professionals who want to advance their knowledge and careers can benefit from this course. Basic familiarity with data science and some limited skills in using Python are required. The program will be delivered in eight full-day sessions spread over eight Saturdays. The course utilizes a hands-on project-based approach mixed with lectures by subject matter experts with real-world operational experience.


The easiest way to pay for courses with Emory Continuing Education is using any major credit card including Visa, MasterCard, American Express, or Discover.



Students are able to put down a $500 deposit to secure a spot in this course. The deadline for paying the remaining balance of $4,495 is 10 days prior to the class start date.