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.

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.

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.

4

Teach and Earn

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

We Help You Succeed

Course Delivery

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

Mentoring and Support

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

Pulse of the Market

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

Featured Instructors

Peter Mikkelsen

Peter Gelardi Mikkelsen is a thought leader and speaker for blockchain and bitcoin technologies. He is currently a partner at Blockchain Technologies Corporation and a guest lecturer at the Department of Information Technology - Blockchain Technology, for Copenhagen Business School. Peter received his BS in International Business and Politics from Copenhagen Business School and studied computer science at MIT.

Sumit Pal

The instructor for this course has more than 22 years of experience in various roles spanning companies from startups to enterprises. He has worked for Microsoft (SQL server development team), Oracle (OLAP development team) and Verizon (as Director of Big Data Architecture). Currently, he consults for multiple clients advising them on their data architectures and big data solutions and does hands-on coding with Spark, Scala, Java, and Python. Author of recently published book: SQL on Big data, he has extensive experience in building scalable systems across the stack from middle-tier, data tier to visualization for analytics applications, using Big Data, NoSQL DB and has deep expertise in Database Internals, Data Warehouses, Dimensional Modeling, Data Science with Java, Python, and SQL.

Dr. Yogesh Kulkarni

16+ years in CAD/Engineering software development, in various capacities, including R & D group and site manager. Recently finished a PhD in Geometric Modeling. Currently working as a Data Analytics consultant, in areas such as Natural Language Processing, Text Mining, Machine Learning and Deep Learning.

JP Labuschagne

Ready to Begin?