Welcome to Ikigai Academy!
Learn how to transform enterprise tabular and time series data and develop AI Apps to solve complex forecasting, planning, and reconciliation problems.
With roots from MIT, Ikigai Academy offers AI education for everyone. Through interactive courses, you'll learn about the foundations of AI and build AI applications to improve productivity, efficiency, and decision-making for your daily operations – all without any coding. Study at your own pace and upskill for future business opportunities.
Featured Courses
-
Demand Forecasting with Ikigai
CourseDemand Forecasting with Ikigai introduces the Ikigai Demand Forecasting Solution. You'll learn how to utilize forecasts in your business decisions through interpreting and understanding forecast performance.
-
Time Series Foundations
CourseIn this course, you'll be introduced to the foundational concepts of Time Series Forecasting and the benefits that it can offer enterprises. You'll also use the Ikigai Platform which provides no-code AI capabilities to create a forecasting solution.
-
aiCast 101
CourseaiCast 101 introduces the fundamental concepts of time series and time series forecasting. You'll also use the Ikigai Platform to complete hands-on exercises to learn how to prepare time series data and generate your first forecast using aiCast.
Meet our Instructors
Devavrat Shah
Co-founder, Ikigai | Professor, MIT
Devavrat successfully combines academia and entrepreneurship. He is a professor and a director of Statistics and Data Science Center at MIT. He co-founded Celect, a predictive analytics platform for retailers, which he sold to Nike. Devavrat holds a Bachelor and PhD in Computer Science from Indian Institute of Technology and Stanford University, respectively.
Jehangir Amjad
Head of AI Platform, Ikigai
Jehangir Amjad is the Head of AI Platform at Ikigai Labs and has been a Computer Science Lecturer both at Stanford and CSAIL at MIT. He was awarded the Jerome H. Saltzer Award for Excellence in Teaching at MIT (2022). Jehangir joined Ikigai from Google where he was a Software Engineer and helped make Google's global networking infrastructure increasingly more robust and reliable. He then joined the open source Data Commons project at Google which represents the largest knowledge graph of data in the world. Jehangir received his PhD in Machine Learning from MIT and BSE in Electrical Engineering from Princeton University.
Vinayak Ramesh
Co-founder, Ikigai
Vinayak is a serial entrepreneur, recognized in Forbes 30 under 30 list. He co-founded Wellframe, an innovative healthcare company, which he sold to Healthhedge in 2021. Vinayak holds a Bachelor and Master of Engineering and Computer Science from Massachusetts Institute of Technology.
Pathways
Select your role to learn more about Ikigai Academy courses
