AI & Emerging Technologies Course Track

Experfy in Harvard Innovation Labs, in collaboration with subject matter experts, prepares you for a career in AI and emerging technologies.

$595.97 Enroll Now
8 Self-paced courses

Course include the fundamentals of the AI and other emerging technologies.


Harvard- incubated Experfy has experts to help you succeed in your AI and other emerging technologies career.


Industry recognized certification enables you to add this credential to your resume upon completion of all courses.

Learn about the technologies that are changing the world to learn the skills that are most in-demand.

1. Introduction to Artificial Intelligence

2. Machine Learning Fundamentals

3. Deep Learning Applications

4. Introduction to Python

5. Tableau for Data Visualization

6. Why Big Data is so important today

7. Internet of Things

8. Blockchain Technology Fundamentals

Introduction to AI

  • Explico


Course 1
About the Course

Understand the basics and be conversant on topics in Artificial Intelligence, and identify further areas of interest in AI.

An Introduction to Machine Learning

  • Dr. Rebecca Wooten, Instructor - An Introduction to Machine Learning Dr. Rebecca Wooten


Course 2
About the Course
  • Define Machine Learning and give a brief history of Machine Learning.
  • Define Data including Data Types, Data Dimensions, and Data Classifications in terms of Computer Programming and apply this knowledge in classifying their own data.
  • The instructor has applied statistics and mathematics experience spanning 24 years and is well-versed in topics such as logic, set theory, combinatorics, game theory, coding, and more. She holds a Ph.D. from University of South Florida.

Introduction to Deep Learning

  • Dr Anne Hsu


Course 3
About the Course

Understand the deep learning/neural network models and how they fit within AI and Machine Learning landscape.

Instructor has 20+ years of experience as a researcher in Machine Learning ( Gatsby Computational Neuroscience Unit, University College London, UC Berkeley)

Published over 30 international peer-reviewed research articles.

Introduction to Python

  • Veysel Kocaman, Instructor - Introduction to Python Veysel Kocaman


Course 4
About the Course
  • Learn why Python dominates the Data Science community around the world 
  • Learn the most powerful programming language in Machine Learning.
  • Instructor has a B.S degree in Computer Engineering and a M.S degree in Operations Research from Penn State University. He's the Head of AI and CTO at Talent Envoy.

Mastering Data Visualization Using Tableau: From Basic to Advanced

  • Kirill Eremenko, Instructor - Mastering Data Visualization Using Tableau: From Basic to Advanced Kirill Eremenko


Course 5
About the Course
  • 15+ hours of self-paced video, 100+ lectures and quizzes.
  • 10 real-life analytics case studies and projects
  • 6 years of hands-on data science experience serving companies like Deloitte and Sunsuper

Why Big Data is so important today?

  • Abdallah Bari, Instructor - Why Big Data is so important today? Abdallah Bari


Course 6
About the Course
  • Implement techniques and tools using the most powerful IDEs combining R and Spark to integrate, prepare and analyze Big Data.
  • The course helps you develop pertinent strategies to better leverage Big Data and understand its challenges faced in various sectors. 
  • Instructor is a researcher and author whose work has been reported by news media outlets like BBC and Life Sciences News. 

Introduction to IoT

  • Explico


Course 7
About the Course
  • Gain a perspective of what is driving the internet of things.
  • Understand IoT, its enablers, impact, and challenges.
  • Gain an understanding of IoT applications.

Blockchain Technology Fundamentals

  • Prabhu Eshwarla


Course 8
About the Course
  • Understand what is disruptive about blockchain technology & the kind of use cases it uniquely enables.
  • Learn where and how blockchain technology can be deployed and the benefits it can bring.
  • Instructor has 26 years of experience working for multinational companies like Hewlett Packard and ANZ.

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