In two days, learn how to use generative AI to automate your tasks and gain efficiency, thanks to intensive and resolutely practical training. Leave with concrete uses that are immediately applicable in your daily professional life, for quick and lasting results.
DAY 1
MORNING: Introduction and mastery of generative AIs
1. Introduction to generative AI (1h)
• Explanation of the basics: language model, neural networks, how generative AIs work.
• Different applications: text, image, audio, video.
2. Text-generative AI: discovery and practice (2h30)
• Presentation of the tools: ChatGPT, Mistral, Mistral, Gemini, Perplexity, Claude.
• Prompt engineering and creation of effective textual content.
• Practical case : generation and improvement of professional texts.
AFTERNOON: GENERATION OF TEXTUAL CONTENT WITH AI
4. Image generative AI (1h)
• Exploring tools: Midjourney, DALL-E, Stable Diffusion, Leonardo.
• Practical case : image creation via optimized prompts.
5. Generative audio and video AI (1 hour)
• Presentation of the tools: ElevenLabs (audio), RunwayML (video).
• Practical case : creation of audio clips and short video montages.
6. Application and integration of AI tools into a workflow (1h30)
• Use of AI tools to improve your daily professional life.
• Workshop : creation of a project integrating several AI tools.
DAY 2
MORNING: advanced tools and concrete applications
1. Open source AI: alternatives to ChatGPT (1h30)
• Presentation of LM Studio and Ollama.
• High-performance open source models: Deepseek, Qwen, Llama.
• Practical case : installation and testing of open source models.
2. Content generation and optimization with AI (2 hours)
• Creation of automatic presentations with Gamma.
• Generation of visuals and mindmaps with Napkin.
• Workshop : combined use of these tools for a business case.
AFTERNOON: creation and implementation of an AI project
3. Workshop: building a personalized AI assistant (2 hours)
• Introduction to custom GPTs: ChatGPT Custom GPTs and OpenAI API.
• How to customize an AI model to meet specific needs
• Practical case : creation of an AI assistant for a specific business need (e.g. customer service, marketing analysis, automated content generation).
• Parameterization of answers and training on concrete examples.
• Testing and improving the AI assistant based on feedback from participants.
4. Strategy for integrating AI into your work (1 hour)
• How to adapt AI tools to your professional activity.
• Identify opportunities for automation and improvement.
• Selection of the best tools according to needs.
5. Personal action plan to implement AI in daily life (30 min)
• Development of a short and medium term integration strategy.
• Definition of next steps for gradual and effective adoption.

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