


Introduction to Generative AI - eLearning
This short course provides you with an introduction to generative AI. It starts by explaining what Generative AI is and why it’s so impactful in today’s world. It covers the history and evolution and also the innovations through time of AI. The course looks at different models and touches on how it can generate new content with some real life examples. Finally we take a look at how the future could be impacted by AI and the technology surrounding it.
This short course provides you with an introduction to generative AI. It starts by explaining what Generative AI is and why it’s so impactful in today’s world. It covers the history and evolution and also the innovations through time of AI. The course looks at different models and touches on how it can generate new content with some real life examples. Finally we take a look at how the future could be impacted by AI and the technology surrounding it.
This short course provides you with an introduction to generative AI. It starts by explaining what Generative AI is and why it’s so impactful in today’s world. It covers the history and evolution and also the innovations through time of AI. The course looks at different models and touches on how it can generate new content with some real life examples. Finally we take a look at how the future could be impacted by AI and the technology surrounding it.
Course Description
The course starts by explaining what generative AI is, how it works, and why it's such an impactful technology in today's world.
It then moves on to explore the history and evolution of generative AI, seeing the innovations that, through time, have paved the way for today’s advancements in the field.
Next, the course covers the different types of generative AI models, detailing the various ways AI can generate new content, setting out the strengths and limitations of each approach.
Following this, the course showcases some incredible real-life examples of how generative AI is being used across different industries.
And finally, the course peeks into the future of generative AI, looking at emerging trends, as well as the ethical and societal implications posed by the technology.
Learning Objectives
By the end of this course, learners will be able to:
Explain the fundamental concepts and principles of Generative AI.
Describe the history and evolution of Generative AI technologies.
Differentiate between various types of Generative AI models and their functions.
Identify real-world applications of Generative AI across industries.
Analyse future trends and potential advancements in Generative AI.
Target Audience
This course is aimed at beginners and professionals from all industries who are curious about AI.
Advantages
Online training is flexible, efficient and cost effective meaning the candidate can progress through the modules at their own pace and in their own time, so they can fit the training in around their work and personal life.
Recommended System Requirements
• Browser: Up to date web browser
• Video: Up to date video drivers
• Memory: 1Gb+ RAM
• Download Speed: Broadband (3Mb+)
Duration: 35 minutes (Note: This is based on the amount of video content shown and is rounded off. It does not account in any way for loading time or thinking time on the questions).