Description

Who is this training for ?

For whom ?

This training is intended for multimedia professionals, content creators, developers, digital marketers, digital strategy managers and anyone interested in the use of artificial intelligence in the field of multimedia.

Prerequisites

No prior knowledge of artificial intelligence is required to participate in this training. However, a basic understanding of multimedia and digital technologies would be beneficial. Participants should have an interest in the application of AI in multimedia and a willingness to learn new technical skills.

Training objectives

Understand the main concepts and technologies of AI applied to multimedia.

Explore the different applications of AI tools in the creation, management and personalization of multimedia content.

Acquire practical skills to use the tools effectively of AI in the production, analysis and recommendation of multimedia content.

Reflect on the ethical and artistic challenges associated with the use of AI in the field of multimedia.

Identify opportunities and emerging trends in using AI to innovate the creation and consumption of media content.

Training program

• Session 1: Introduction to AI tools in multimedia
  • Presentation of the main concepts and technologies of artificial intelligence applied to multimedia
  • Exploration of the application areas of AI in the creation and management of multimedia content
  • Discussion on emerging trends and opportunities offered by AI in the field of multimedia
• Session 2: Image and video recognition
  • Introduction to AI-based image and video recognition techniques
  • Overview of algorithms and models used for classification, object detection and segmentation in images and videos
  • Practical examples of applications of image and video recognition in the field of multimedia
• Session 3: AI-assisted media content generation
  • Exploring multimedia content generation tools and techniques, such as image and video summarization, music creation, and text generation, powered by AI
  • Development of practical skills to use these tools in creating innovative multimedia content
  • Case study on the use of AI-assisted multimedia content generation in various artistic and creative fields
• Session 4: Personalization and recommendation of multimedia content
  • Introducing AI-based media content recommendation and personalization algorithms
  • Discussion on recommendation and personalization strategies to improve user experience in video streaming domains , online music, etc.
  • Concrete examples of platforms and applications successfully using AI-assisted personalization of multimedia content
• Session 5: Multimedia content analysis and machine understanding
  • Media content analysis techniques, including text recognition in images, automatic transcription of audio, sentiment analysis in video comments, etc.
  • Introducing the tools and methods used to extract information and insights from massive media content
  • Case study on using media content analysis for research, media monitoring social, market analysis, etc.
• Session 6: Ethical and artistic challenges of using AI in multimedia
  • Discussion on the ethical issues related to the use of AI in the creation, distribution and consumption of multimedia content
  • Reflection on the impact of AI on creativity and artistic expression in the field of multimedia
  • Recommendations for responsible and ethical use of AI tools in the field of multimedia