This is an introductory course to the field of artificial intelligence. Artificial intelligence started with systems where rules were encoded in a computer but now uses neural networks and deep learning. We will explore these methods, study real world applications, discuss what is beyond deep learning as well as implications to society as people participate in a human-centered AI world.
By the end of the course, learners will have a greater understanding of neural networks and deep learning so they can converse with neural network practitioners and companies; be able to critically evaluate AI news stories and technologies; and consider what the future of AI holds and what barriers need to be overcome.
All prices shown are exclusive of VAT which will be added at checkout.
| Level | Technical |
|---|---|
| Partner Details | Dr. Ronjon Nag Dr. Ronjon Nag has an Engineering PhD (Cambridge), an SM in Management Science (MIT) and a B.Sc. in Electrical Engineering (Birmingham). He is president of the R42 Institute and he became a Stanford University Interdisciplinary Distinguished Careers Institute Fellow at the Center for Study for Language and Information in 2016. He works on the Boundaries of Humanity Project looking at intelligence in humans, animals and machines in the age of biotechnology and artificial intelligence. He teaches at Stanford Medical School. He is an active Advisor and Board Member to some 70 AI and Biotech companies. He has also been awarded the IET Mountbatten Medal for contributions to the mobile phone industry. |
| Type | Course |
• Intelligently communicate with neural network practitioners and companies.
• Critically evaluate AI news stories, academic articles and technologies.
• Evaluate for themselves where AI is appropriate to be used in their organisation and in society.
• Understand what the future of AI holds and what barriers need to be overcome with current neural network models.