‘Mastering Artificial Intelligence’
The content Tutor who designed these modules is a University of Oxford AI Graduate so you can be assured of quality, accurate and up to date content that is designed for easy, self-paced learning.
As an added extra you will be provided with FREE Resources to reading material and online videos that are current for the fast pace world of AI which you can used during the modules or keep for later to carry on your learning away from the course.
Study method: Online, self-paced
Learning Type:
Enrol now, and let us show you how to become a stand-out candidate in the field and grab chances in the following areas:
- Understanding AI’s Foundations: From historical roots to cutting-edge neural networks, gain a comprehensive grasp of AI’s core principles.
- Analysing Benefits and Risks: Uncover AI’s profound benefits while critically examining ethical considerations, biases, and risks.
With special thanks to PwC, EY, Boston Consulting, IBM, Microsoft AND Gartner for providing public information on this topic which is highly relevant.
Curriculum
- 1 Section
- 21 Lessons
- 5 Hours
- this is a test section25
- 1.1Welcome to the Beginning of Your AI Journey!2 Minutes
- 1.2What is Responsible AI?4 Minutes
- 1.310 Responsible AI (RAI) Principles4 Minutes
- 1.4Glossary Notes
- 1.5Module 1: Introduction to AI2 Minutes
- 1.6Module 1.1: What is AI? Definition and Overview15 Minutes
- 1.7Module 1.2: History of AI: From Early Concepts to Modern Era8 Minutes
- 1.8Module 1.3: Applications of AI: Everyday Uses and Industry Impact12 Minutes
- 1.9Module 1 Quiz: Assessing Basic Understanding of AI3 Questions
- 1.10Module 2: Foundations of AI15 Minutes
- 1.11Module 2.1: Logic and Algorithms: Building Blocks of AI10 Minutes
- 1.12Module 2.2: Machine Learning: Supervised, Unsupervised, and Reinforcement Learning12 Minutes
- 1.13Module 2.3: Neural Networks: Introduction to Neurons and Layers25 Minutes
- 1.14Module 2 Quiz: Testing Knowledge on AI Foundations3 Questions
- 1.15Module 3: Types of AI14 Minutes
- 1.16Module 3.1: Narrow AI: Specialised Systems and Applications14 Minutes
- 1.17Module 3.2: General AI: Concepts, Challenges, and Future Prospects20 Minutes
- 1.18Module 3.3: Hybrid AI: Combining Different Approaches20 Minutes
- 1.19Module 3 Quiz: Understanding Different Types of AI3 Questions
- 1.20Module 4: Benefits and Risks of AI7 Minutes
- 1.21Module 4.1: Benefits of AI: Efficiency, Automation, and Personalisation8 Minutes
- 1.22Module 4.2: Risks of AI: Ethical Considerations, Bias, and Security19 Minutes
- 1.23Module 4 Quiz: Analysing Benefits and Risks of AI2 Questions
- 1.24The Surge in AI Regulations – What’s Behind It?14 Minutes
- 1.25FREE Resources10 Minutes
