Generative Artificial Intelligence (GAI) – Training Program

General Objectives

By the end of the training, participants will be able to:

• Understand the fundamental principles of generative artificial intelligence.

• Identify key application domains of GAI (text, image, audio, video, code).

• Use major GAI tools and platforms (ChatGPT, DALL·E, Midjourney, etc.).

• Design effective and creative prompts to obtain optimized results.

• Assess ethical, legal, and security issues related to GAI.

• Develop practical use cases tailored to their professional needs.

Course Organization

• Duration: 20 to 25 hours
  (Can be delivered as a 4-day intensive program or multiple sessions)

• Methodology: Interactive lectures, hands-on demonstrations, creation workshops, practical case studies

• Target audience: Students, teachers, content creators, communication and marketing professionals, IT specialists, and anyone looking to integrate GAI into their field

Detailed Program

Module 1 — Introduction to Generative AI

• Definition and history of generative artificial intelligence

• Differences between traditional AI, machine learning, and generative AI

• Overview of current tools and ecosystems

Module 2 — Generative Models and How They Work

• Neural networks, language models (LLMs), GANs, and diffusion models

• How GAI learns and generates content

• Demonstrations with ChatGPT and Midjourney

Module 3 — Text Generation

• AI-assisted writing (articles, summaries, scripts, educational materials)

• Prompt engineering: how to design clear, structured, and effective prompts

• Hands-on workshop with ChatGPT

Module 4 — Image Generation & Visual Creation

• AI tools for graphic and artistic creation (DALL·E, Midjourney, Stable Diffusion)

• Creating professional and artistic visuals

• Limitations and best practices for image generation

Module 5 — Multimedia & Specialized Applications

• Generative audio and music tools

• AI-generated video and animation

• AI for coding and programming (e.g., GitHub Copilot)

Module 6 — Ethics, Security & Legal Framework

• Copyright, bias, transparency, and accountability

• Risks related to deepfakes and misinformation

• Responsible and safe use of GAI

Module 7 — Practical Workshop & Final Project

• Creation of a complete project (text + images + presentation)

• Group or individual work on a real-world use case

• Final presentation and personalized feedback

Teaching Methods

• Guided practical workshops

• Real-world case studies

• Live tool demonstrations

• Creativity and innovation exercises

• Personalized coaching

Expected Outcomes

At the end of the program, participants will be able to:

• Understand the core mechanisms and principles of GAI

• Create high-quality text and visual content using AI tools

• Develop effective prompts tailored to their needs

• Identify risks, limitations, and ethical concerns

• Integrate GAI into their professional environment to increase creativity and productivity