Who are we?
AiCore is a specialist Ai & Data career accelerator. That means that our purpose is to teach you what companies need from machine learning engineers, so that you can land a job in the field.
AiCore was founded by Harry Berg, Christian Kerr and Haron Shams.
Harry and Haron originally founded the Machine Learning Society at Imperial College London. They wanted to find a community of people who were actually implementing the state of the art in AI, but all they found was a super advanced, super theoretical reading group and a data science society that only taught the basics. So they decided they would start the ML Society to fill the gap between theory and practice. They packed one of Imperial's largest lecture theatres full of people and announced that they would start teaching AI to anyone at the university, for free.
Meanwhile, Christian was working as Chief of Staff at CogX, Europe's largest festival on AI. Here he oversaw management of a rapidly scaling organisation, worked on closing 6-figure deals with industry leading companies, and met leaders in the field.
Harry and Haron met Christian at an AI conference in London in 2018. He saw the two of them grilling "AI companies" on the tech behind their products, and seeing the representatives faces turn red with embarrassment as they struggled to keep up with technical questions. Christian couldn't help but introduce himself. Christian started coming along to the AI workshops at Imperial, and the three of them started working together on scaling up the teaching.
Over the next year the three of them, who would later be the AiCore founding team, built up a community of 5600+ students who wanted to implement AI, spun up 4 machine learning courses and taught over 2000 students across top London universities including Imperial College London, University College London (UCL), and King's College London.
Seeing the huge demand for their classes, Harry, Haron and Christian founded AiCore, a more structured program designed to help launch people's careers in AI.
Where will I take classes?
We don't have classes in the traditional sense. All the learning you do at AiCore is directed towards completing industry projects. You consume material on your own. Then you come to meetups every night to work on your projects along side your peer group and there are support engineers to offer you instant live support.
All of this takes place exclusively online, so you can learn from the comfort of your own home. On top of the meetups, we also hold public events with industry experts every week, and private events including industry mentor office hours and open hacking for students only.
How will AiCore help me land a job?
After completing the essentials part of the programme, you take career preparation alongside your specialist pathway. This includes holding soft skills workshops as part of the programme, introducing you to industry mentors from leading companies, recommending you for exclusive roles with our partners, holding mock interview sessions, keeping you accountable for weekly progress with a checklist during the course, auditing your GitHub, LinkedIn and Twitter accounts to make sure they are shining showcases of your skills, promoting you on our social media channels, hosting events for you to showcase your projects, hosting your projects online on our website.
How do I secure a place on the programme?
To ensure all AI Core students get the individual attention and resources they need to succeed, course sizes are limited. After submitting your applications, you’ll connect with the admissions team, who will determine whether or not the course is a good fit for your experience and goals. Additionally, you’ll complete an admissions assessment to make sure you’re prepared for the rigour of the curriculum. Once you’ve been accepted and set up your learning package, your spot in the course is secure. Connect with our admissions team now for more details.
What do I need to do to graduate?
To graduate you need to complete the projects.
Aside from class, how much time am I expected to spend studying or working?
Classes consist of 3 hour sessions, 4 days per week. That's a total of 12 hours. On top of this, you should aim to spend 8 hours outside of class reviewing content, completing challenges, assessments and projects. That's a total of 20 hours, which makes it a part time programme.