Artificial Intelligence (AI) has been advancing rapidly in recent years, and Generative AI is one of the most exciting and quickly evolving fields. Content creators can use this technology to their advantage while minimizing potential drawbacks.
Generative AI is a powerful and rapidly developing field of Artificial Intelligence that has the potential to revolutionize how content is created.
This course will provide a comprehensive overview of current generative AI technologies, with a focus on text and image generation, video creation, and 3D modeling, among other possibilities.
Part I. Introduction.
This course will start with an introduction to the basic concepts of Generative AI, including its application fields, relevant models and architectures, and the tools available for implementation. We will then discuss the many potential business applications for Generative AI, such as automated content generation, translations, sentiment analysis, and summaries. We will also discuss how Generative AI can be used to create images, program code, poetry, and artwork.
Part II. Generative AI models and platforms.
The second part of this course will focus on the current Generative AI models and platforms, from the basics to specific techniques for different types of content. We will also discuss several useful tools, such as Stable Diffusion, DALLE-2, Midjourney, GPT, chatGPT, and a new collection of possibilities. We will explore their main features and possibilities, and how to boost and improve the creative process of artists, writers, and content creators.
Part III. Implications of Generative AI.
Finally, we will look at the implications of Generative AI, both in terms of opportunities, such as the potential of “prompt engineers”, and in terms of potential risks, such as the challenge of ensuring intellectual property rights.