Data science /

Peltarion Mentorship Program

March 29

    To bridge the AI knowledge gap we've created a mentorship program with the purpose of sharing our expertise and enabling more people to use AI in their respective field of expertise.

    Tell me more

    The idea of the mentorship program is simple: If accepted to the program, you'll be paired up with one of our data scientists who will be guiding you in your project of choice.

    What do we want from you? An idea you want to try, some data to use and the willingness to put in the hours. Simple as that. Your mentor will guide you throughout the project and help you when you get stuck.

    Agrin explaining how to use AI to tag music moods, a key feature for the music industry!

    Application criteria

    Since we have a limited number of resources that we can dedicate to this program (after all, we also have our jobs to do...), we want to make sure to use our time well. In order for the program to be useful for you and for us, we've set up a few criteria you need to tick off in order to apply for the program.

    • You are interested in exploring how to apply deep learning to your idea/project. Your mentor will then guide you on how to approach your project and any problems along the way using the Peltarion Platform. (Note that this is not a deep learning course – if you feel like you need to brush up on your basic deep learning skills before applying, check out Andrew Ng’s deep learning specialization here.)
    • You’re serious about your project and want to take it to the next level using deep learning. This can be a project at your current employer, something you wish to commercialize or a do-good project.
    • You have access to the data you need to work on your project. The data doesn’t have to be ready to be used, but you should have access to it. 
    • You're willing and able to put in the time. Depending on your situation and schedule, we’ll work out the best way for you and your mentor to follow up with one another.
    • You’re up for having the technical discussions. You don't need to have an engineering degree or similar, but you need to be comfortable thinking about numbers and have some idea of the scientific method and/or being data-driven. This is for you to be able to get the most out of the program.

    Note that all tutoring is going to be done on the Peltarion Platform, allowing for you to build, train and deploy deep learning models right from your browser, no-code required. It’s the easiest way to focus on problem-solving without the tedious and oh so boring hardware setup work, learning and stringing together a patchwork of tools or debugging of code.

    Sign me up!

    Please tell us a bit more about yourself by filling out the form below and we’ll get back to you asap. If we chose to move forward with your application, we'll schedule a time for a quick online interview to get to know each other and for us to understand what you wish to get out of the program. In the meantime, if you have any questions or concerns, please feel free to reach out to pauline@peltarion.com.

    Mikael evaluating the performance of his deep learning model