Fellowship.AI gives aspiring machine learning engineers the chance to hone their skills by building real-world applications. The number one qualification employers look for when hiring an ML engineering candidate is previous work experience.

During your time as a fellow, you will:
- get the opportunity to work on a commercially-viable project and build scalable machine learning models with agile software development methodology
- receive mentorship from experienced ML practitioners
- work on the project(s) full-time for four months
- pair program with other fellows and mentors
- apply the latest research in deep learning, reinforcement learning, generative adversarial networks, etc.

Upon successfully graduating the program, fellows get the opportunity to interview with some of the leading tech companies in AI and/or continue to work as AI consultants with Launchpad.AI.

Fellowship.AI grads are now leading AI/ML developments at companies like Uber, Facebook, Enlitic, Lumiata, AllS...
Fellowship.AI gives aspiring machine learning engineers the chance to hone their skills by building real-world applications. The number one qualification employers look for when hiring an ML engineering candidate is previous work experience.

During your time as a fellow, you will:
- get the opportunity to work on a commercially-viable project and build scalable machine learning models with agile software development methodology
- receive mentorship from experienced ML practitioners
- work on the project(s) full-time for four months
- pair program with other fellows and mentors
- apply the latest research in deep learning, reinforcement learning, generative adversarial networks, etc.

Upon successfully graduating the program, fellows get the opportunity to interview with some of the leading tech companies in AI and/or continue to work as AI consultants with Launchpad.AI.

Fellowship.AI grads are now leading AI/ML developments at companies like Uber, Facebook, Enlitic, Lumiata, AllState, Yelp and many others.
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