*No funding France Work possible on this course

Detailed educational objectives of generative AI training:

1. Understanding the fundamental principles and how generative AI works:
   • Acquire a basic knowledge of the different types of generative AI: textual, visual, audio and video.
   • Explore the underlying mechanisms and technologies that propel generative AI.
2. Practical use of generative AI for content creation:
   • Learn how to generate high-quality text, images, audio, and video using specific AI tools.
   • Master “prompting” techniques to improve the quality and relevance of generated content.
3. Formulation of effective instructions for optimal results:
   • Develop skills in formulating prompts to maximize the performance of AI models in different scenarios.
   • Conduct practical workshops to experiment with various instructions and observe the results.
4. Assessment and integration of generative AI in business processes:
   • Learn to assess the relevance and adequacy of AI-generated content according to the specific needs of businesses.
   • Effectively integrate generative AI into existing workflows to improve productivity and efficiency.
5. Practical experimentation and real application:
   • Engage participants in practical workshops covering the creation of textual, visual, audio, and video content.
   • Encourage collaboration and innovation through interactive brainstorming sessions and project implementation.

Morning: Introduction and text IAG

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‍1. Introduction to Generative AI (1 hour)‍

• Exploring the different branches of generative AI: text, image, audio and video.
• Analysis of new use cases to boost productivity and presentation of the implications of generative AI.

2. Generative Text AI (4 hours)‍

• Presentation of ChatGPT, Mistral, Gemini, Gemini, Perplexity, Claude, with live demonstrations.
• Practical workshop: participants create their own texts, experiment with different models, learn to prompt effectively.
• Prompt Engineering, Creation of GPTs, Confidentiality and RGPD.

Afternoon: Image, audio, video IAGs and practical session

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‍1. Image Generative AI (30 mins)‍

• Exploring tools such as Midjourney, Dall-E, Stable Diffusion, Leonardo, with visual examples.
• Practical workshop: learners design images, discovering the impact of different prompting styles and techniques.

2. Audio Generative AI (30 mins)‍

• Introducing AI tools for creating audio, with sound samples.
• Practical workshop: creation of audio clips by the participants, by experimenting with the tools presented.

3. Video Generative AI (30 mins)‍

• Introduction to AI tools on video, illustrated with concrete examples.
• Practical workshop: production of short videos, comparison of tools.

4. Conclusion and Assessment of Achievements (30 minutes)‍

• Summary of the themes and tools covered.
• Assessment of achievements through an interactive questionnaire and collection of feedback.