Requirements

• Basic knowledge of Generative AI and latest releases like ChatGPT and Google Gemini

Description

The course titled "Everyday Generative AI" is designed to provide a comprehensive introduction to generative AI, exploring its fundamental concepts, practical applications, and ethical considerations. The course begins with a brief introduction and an engaging teaser video that captures the essence of generative AI, setting the stage for the topics to be covered. Following this, the course outlines its learning outcomes, helping learners understand what they will achieve upon completion.

The first module, "Introduction to Generative AI," delves into the basics of generative AI, explaining what it is and how it works. This module aims to equip learners with a foundational understanding of the technology, its potential, and its impact across various industries. The lessons within this module cover topics like the definition of generative AI, its working principles, and the ethical considerations involved in its deployment. This section emphasizes the importance of responsible AI practices, ensuring that learners are aware of the ethical implications and societal impacts of generative AI.

The instructional strategy for this module includes a mix of video content, reading materials, and interactive activities, providing a well-rounded learning experience. For instance, the course introduces key concepts through videos that explain generative AI in a simple, accessible manner, while reading materials offer deeper insights into the technology's underlying mechanisms. Interactive elements, such as quizzes and discussions, are also integrated to reinforce learning and encourage active participation.

Throughout the course, the estimated seat time for each lesson varies, ensuring that learners can engage with the content at their own pace. The course also includes external links and onscreen content to supplement the learning experience, providing additional resources for those who wish to explore specific topics in greater detail.

The course blueprint also highlights the importance of a structured learning journey, with clearly defined learning outcomes and instructional strategies tailored to each lesson. For example, the lessons on "What Is Generative AI?" and "How does Generative AI work?" are designed to build foundational knowledge, while subsequent modules delve into more advanced topics, such as the practical applications of generative AI and its role in various industries.

The course is structured to cater to a diverse audience, from beginners with no prior knowledge of AI to professionals looking to upskill in this rapidly evolving field. By the end of the course, learners will have a solid understanding of generative AI, its applications, and the ethical considerations involved in its use. This comprehensive approach ensures that learners are well-equipped to navigate the complexities of generative AI and harness its potential for innovation and problem-solving in their respective fields.

Who this course is for:

• AI enthusiasts