Introduction to artificial intelligence
Time: 10:00 - 13:00
Location: Hybrid (choose either online or in-person)
This course will be delivered online or in person. See the ‘What is the course about?’ section in course details for more information.
Course Code: CART02
Duration: 2 sessions (over 2 weeks)
Please note: We offer a wide variety of financial support to make courses affordable. Just visit our online Help Center for more information on a range of topics including fees, online learning and FAQs.
What is the course about?
Artificial intelligence is one the hottest topics in technology these days, but few understand the technology behind it. This course will introduce you to the ways in which machines think like humans. You will also develop an understanding of the ethical implications (including why you might lose your job soon).
Participants who will attend the full course will receive a City Lit certificate of attendance electronically for their CV or CPD records. The certificate will show your name, course title and dates of the course you have attended.
You can choose to attend this course either live online or in person.
- Internet connection. The classes work best with Chrome.
- A computer with microphone and camera.
We will contact you with joining instructions before your course starts.
What will we cover?
We will cover a brief history of AI, current developments, and challenges ahead. We will also look at various machine learning methods, and you will even get to program your own AI!
What will I achieve?
By the end of this course you should be able to...
Explain various ways in which machines can learn like humans. You will be able to discuss AI in an informed and educated manner.
What level is the course and do I need any particular skills?
The course is introductory, so no skills needed. All levels welcome.
How will I be taught, and will there be any work outside the class?
The session will consist of short, interactive lectures, a programming session, and an informal debate. No work outside class.
Are there any other costs? Is there anything I need to bring?
There are no other costs.
When I've finished, what course can I do next?
Liv is a physicist with background in machine learning. She completed her masters degree at University College London, with a thesis in theoretical astrophysics, and is currently working on a PhD in particle physics at Imperial College. She first started exploring machine learning at the Wolfram Summer School in Boston, and has since done internships with BT in the UK and DESY in Germany. Her PhD centrers around using novel methods for high performance computing and machine learning for the upgrade of the compact muon solenoid experiment at CERN in Switzerland.
Please note: We reserve the right to change our tutors from those advertised. This happens rarely, but if it does, we are unable to refund fees due to this. Our tutors may have different teaching styles; however we guarantee a consistent quality of teaching in all our courses.