Oxford university logo
Oxford Artificial Intelligence Programme
Gain the critical insights and in-demand skills to succeed in the booming industry of AI.
Duration
6 weeks entirely online,
excluding orientation
Effort
Self-paced weekly modules,
7–10 hours per week
Learning Format
Learn alongside a global cohort
of like-minded professionals
Other Detail
Choose from flexible
payment options
Click here to watch video
On completion of this programme, you’ll walk away with:
1
The ability to identify and assess the possibilities for AI in your organisation and build a business case for its implementation.
2
A strong conceptual understanding of the technologies behind AI such as machine learning, deep learning, neural networks, and algorithms.
3
Insight from Oxford Saïd faculty and a host of industry experts, helping you to develop an informed opinion about AI and its social and ethical implications.
4
A contextual understanding of AI, its history, and evolution, helping you to make relevant predictions for its future trajectory.
Become a skilled professional in one of the
fastest-growing fields
Artificial Intelligence (AI) has become an integral part of our world. From algorithms to data analysis, AI is helping create efficient and smarter systems. Innovative technologies like generative AI and natural language processing are improving the way we do business, and now, technologies like these and others can be explored online in just six weeks. Now is the time to develop the foundational knowledge in AI so you can best leverage its capabilities to reach your professional goals and beyond.
This programme is for you if you are:
A cross-functional manager or business leader interested in understanding AI’s potential across industries
A technical or non-technical professional looking to pursue growth in your current role
A CIO, IT manager, or business analyst who would like to understand how AI can be successfully implemented within your organisation
Seeking a foundational understanding of how AI works
This programme does not require technical skills or the ability to code.
Accreditation Logo
This Oxford Artificial Intelligence Programme is certified by the United Kingdom CPD Certification Service, and may be applicable to individuals who are members of, or are associated with, UK-based professional bodies. The programme has an estimated 60 hours of learning.
Note: should you wish to claim CPD activity, the onus is on you. Oxford Saïd and GetSmarter accept no responsibility, and cannot be held responsible, for the claiming or validation of hours or points.
Programme curriculum
Over the duration of this online programme, you’ll work through the following modules:
Module 1 Artificial intelligence ecosystem
Explore the history and potential of AI within the context of the digital ecosystem.
Module 2 AI and machine learning: Understanding the black box
Delve into the mechanics of the three main types of machine learning: supervised, reinforcement, and unsupervised learning.
Module 3 Understanding deep learning and neural networks
Understand what deep learning is and how it is powering the modern approach to AI.
Module 4 Working with intelligent machines
Explore the concept of intelligence in machines and the impact of AI in the labour market.
Module 5 The ethics of artificial intelligence
Explore the hierarchy of ethical and legal considerations around AI.
Module 6 How to drive AI in your business
Identify the potential business opportunity of AI in a specific context.
Please note that module titles and their contents are subject to change during programme development.
Your Programme Director
Matthias Holweg
American Standard Companies Professor of Operations Management
Saïd Business School, University of Oxford
Matthias is a trained industrial engineer and is interested in how organisations generate and sustain process-improvement practices. His research focuses on the evolution and adaptation of process-improvement methodologies as they are being applied across manufacturing, service, office, and public sector contexts. More recently, Matthias has started working on digital operations, with a particular focus on the economics of additive manufacturing (3D printing) in order to determine how to use this set of new technologies to generate competitive advantage. He also leads the Digitally Empowered Enterprise Lab at Oxford Saïd, which brings together the many strands of research within the School related to digital transformation.
"An absolutely outstanding virtual learning programme that provides one of the very few globally connected opportunities to uniquely understand several aspects of artificial intelligence. Equips any type of professional in any sector for the future.”
Jeff Hoffmann, Senior Consultant, Booz Allen Hamilton
An online education that sets you apart
This Oxford Artificial Intelligence Programme is delivered in collaboration with online education provider GetSmarter, part of edX. Join a growing community of global professionals, and benefit from the opportunity to:
usp-slot-one
Experience a flexible but structured approach to online education as you plan your learning around your life to meet weekly milestones.
usp-slot-two
Enjoy a personalised, people-mediated online learning experience created to make you feel supported at every step.
usp-slot-three
Earn a certificate of attendance recognising your online programme from Saïd Business School, University of Oxford.
Get more information
Want to know more?
Enter your information below to learn more about the Oxford Artificial Intelligence Programme, including receiving the programme prospectus, from GetSmarter.
First name*
Last name*
Email*
By consenting to receive communications, you agree to the use of your data as described in GetSmarter’s privacy policy. You may opt out of receiving communications at any time.
Step 1 of 3
Proceed
Your Privacy Choices
Contact us: oxfordonline@getsmarter.com | +44 1865 950 945
GetSmarter, part of edX
Copyright ©2023 GetSmarter. All rights reserved | Privacy Policy
GetSmarter
https://youtu.be/5p248yoa3oE?si=vGYL3nPrZ_l9jgYA
Andrew Ng: Opportunities in AI - 2023
Stanford Online
Raghuveer Awankar
This man is the reason I fell in love with complex topics like Artificial Neural Networks in AI. He is hero for all AI lovers.
What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata
The Royal Institution•
The Near Future of AI [Entire Talk] - Andrew Ng (AI Fund)
Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
MIT Introduction to Deep Learning | 6.S191
Alexander Amini•
The House Fund Presents Interview with Andrew Ng; How AI Will Change The World For Good
L’intelligence artificielle n’existe pas, par Luc Julia
France Université Numérique
Open AI CEO Sam Altman and CTO Mira Murati on the Future of AI and ChatGPT | WSJ Tech Live 2023
The Next Decade of Software Development - Richard Campbell - NDC London 2023
GPT-4 - How does it work, and how do I build apps with it? - CS50 Tech Talk
Google's Deep Mind Co-founder: AI Is Becoming More Dangerous And Threatening! - Mustafa Suleyman
How to Speak
MIT
The AI revolution: Google's developers on the future of artificial intelligence
This discussion took place on July 26, 2023, at Cemex Auditorium, Stanford University, and was hosted by the Stanford Graduate School of Business.
This talk covers:
Trends in AI Technologies and Tools
Supervised Learning
Generative AI
The Adoption of AI
Opportunities in AI
Process for Building Startups
AI Risks and Social Impact
Explore the essentials of machine learning and develop practical skills to implement AI applications in this beginner-friendly program:
https://www.coursera.org/specializati...
https://www.coursera.org/specializations/machine-learning-introduction
Introduction
0:00
What is AI
1:03
Technology landscape
1:35
Supervised learning
2:14
Supervised learning workflow
3:28
Largescale supervised learning
4:21
Genes of AI
5:27
Large language models
7:39
Custom AI applications
9:51
AI opportunities
11:14
General purpose technology
15:42
How to go after these opportunities
20:24
Building startups
24:56
Concrete Ideas
29:05
Risks
31:17
Hype
33:28
Stanford Online
No comments:
Post a Comment