What are the prerequisites?

Ideally the participants will have a degree of familiarity with the programming language Python. Your can access a Python self assesment here if you want to be sure your Python skills are developed to a level where by you can get the most out of the workshop.

We are holding a number of Python office hours in the lead up to the workshop, allowing attendees to bring their Python skills up a notch before the workshop begins.

How many participants will there be?

Our courses are capped at a maximum of 20 participants.

What do participants need to bring?

A Laptop. The course is run using AWS meaning no installations of software is necessary. Some installations may be required for the Python office hours 

Why not do an online course?

Face to face learning is proven to have a more lasting impact. Our course is designed to cater for all learning styles- audio, visual and kinesthetic. The face to face option also allows learners to ask questions and clarify their understanding throughout the course duration. We have found that most of our attendees have done online learning before and are searching for that interaction to cement their new skills. 

Why study in a workshop format?

We think one of the best ways to learn is by working through problems in a peer group; chatting over thought processes and generally talking things out. This is why the second day of our workshop is entirely dedicated to group projects. People work in groups of 2-3 and build a model basically from scratch. Indeed, both days of the workshop are exercise-based where learning is supported by completing tasks aimed at building up understanding.

Why Silverpond?

Silverpond is also a deep learning consultancy, so we spend a fair amount of our time doing real-world deep learning projects. This experience allows us to communicate the concepts and skills necessary to do practical deep learning in day-to-day work.


What resources are provided to the learners?

Participants receive an offline copy of all the workshop content and worked notebooks (with answers). Instructors will also be able to provide guidance on how to set up a local deep learning environment.

Digital workbooks (Jupyter Notebooks) are also provided, giving the learner their own resource they can refer to during and after the workshops

There are other groups underrepresented in tech, why is there no program for them?

Great question. This is our first program tackling the diversity in this way. We are planning to run many more in the future to see our tech being created by people that represent our community.