How It Works

1

Apply

If you possess deep expertise that would be useful to data scientists, engineers or executives, apply to join our training platform.

Apply to become an instructor
2

Propose

Propose a course within an existing track or propose a new track altogether. There is an interest in a wide range of courses--from methodology and big picture thinking to programming languages and databases.

Propose a course
3

Create

Experfy Training platform provides tools to help you organize your course. We also provide free video editing assistance once your course has been approved.

Create your course
4

Teach and Earn

Experfy delivers your course to people around the globe, while you earn top dollars for your expertise.

Teach and earn

We Help You Succeed

Course delivery

Course Delivery

We handle all the hosting, billing and customer service so you may focus on teaching.

Mentoring and support

Mentoring and Support

Our course mentors help you understand the course creation processes and also help you with video editing.

Pulse of the market

Pulse of the Market

Experfy also runs a successful marketplace where you can find consulting opportunities and ideas for your courses.

Featured Instructors

Dr. Vishnu Nanduri
Dr. Vishnu Nanduri

Dr. Vishnu brings more than a 13 years of experience in machine learning and predictive analytics. He holds a MS and a PhD in Industrial Engineering from the University of South Florida, and has held positions in both Industry and Academia. He has worked in University of Wisconsin -Milwaukee, Impetus, and IBM.

Kaitlin Hagan
Kaitlin Hagan

Kaitlin Hagan received a Masters in Public Health from Columbia University and a Doctorate of Science in Epidemiology from Harvard University. She is currently a post-doctoral fellow at Brigham and Women's Hospital and Harvard Medical School in Boston, MA. Kaitlin works with the Nurses' Health Study and her research focuses on cardiovascular epidemiology and the epidemiology of aging. Kaitlin has been involved with Introductory Statistics courses at Columbia University, Harvard University, and the Harvard T.H. Chan School of Public Health and has received numerous teaching awards and citations for her work.

Dr. Chan Naseeb
Dr. Chan Naseeb

Is a Lead Data Scientist in the IBM Global Elite team for Data Science & AI. Prior to this, he was a Manager (Principal Lead Data Scientist) at KPMG data & analytics team. Where he took leadership for Data Science engagements & amp client delivery in different sectors such as: public sector, chemical industry, transport, logistics, and FinTech. He was also a technical lead for the development of an open-source Big Data platform KAVE (KPMG Analytics and Visualization Environment). He lead both onshore and offshore teams for Data Science engagements. His focus spanned on end to end delivery of Data Science solutions ranging from strategy, transformation and execution to enable organizations to become data driven. He was also R & D lead for Data Science research & prototyping solutions for Industry relevant problems. He has been doing analysis, design and verification of systems for many years. He has been working in Data Science related areas for over 13+ years. Other dimensions of his role include collaboration with the academia, performance development and capacity building of teams. He is a Data Science, and agile evangelist. His expertise include AI, Machine Learning, Deep Learning, Data Science, and Blockchain. He has been a reviewer for a number of journals, and conferences while being also the speaker and moderator at some of those. He holds a Professional Doctorate in Engineering from Eindhoven University of Technology.

Benjamin Holmes
Benjamin Holmes

Data Scientist and a Machine Learning Engineer. Worked in scientific, governmental, and business contexts. Drove insights for research in biotechnology, genetics, neuroscience, and clinical technology.

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