In a world where AI is rapidly transforming the way we work and create, this training lets you discover and learn to use generative AI tools to improve your daily life, both professionally and personally.
You will learn to harness the capabilities of AI for content writing, visual creation, automating repetitive tasks, and data analysis. You will be guided through practical cases and concrete examples that will help you master the various AI tools in a simple, accessible way.

TARGET AUDIENCE

This training is intended for professionals, entrepreneurs, content creators, marketers, project managers, or anyone interested in using generative AI technologies in a practical setting. No technical prerequisites are needed; the training is suited to beginners as well as more advanced users.

LEARNING OBJECTIVES

By the end of this training, you will be able to:

• Discover and explore generative AI tools,
• Understand the basic principles of generative AI and use tools such as ChatGPT, DALL-E, MidJourney, and others for your daily needs.
• Create content efficiently with AI,
• Learn to generate compelling text, optimize your creativity, and improve your productivity with ChatGPT. You will also be able to use AI to translate and proofread texts.
• Automate professional tasks,
• Use AI to automate repetitive tasks and improve efficiency at work, such as project management, marketing, or communication, with tools like Zapier.
• Apply best practices and understand the limits of AI,
• Learn to verify information generated by AI, optimize your interactions with it, and understand the mistakes to avoid so as not to.

Instructor(s)

Kévin Guéï

Generative artificial intelligence is profoundly transforming the way we work, create, and solve problems. Whether for writing texts, generating images, automating tasks, or optimizing decision-making, these tools offer unprecedented opportunities accessible to everyone.

This training program will guide you step by step in adopting generative AI in your professional and personal daily life. You will discover how to use these technologies to boost your productivity, improve your creativity, and make decisions more easily, all while keeping an ethical and responsible approach.

Through real-world cases and practical exercises, you will learn to integrate these tools into your usual processes and get the most out of them. Whether you are an entrepreneur, an employee, a student, or passionate about innovation, this training will give you the keys to making generative AI a real asset in your daily life.

This 2-minute 53-second video lesson introduces you to the basics of generative artificial intelligence.

Practical Case 1: Using ChatGPT to Write a Blog Article

Objective: Learn to generate a blog article using ChatGPT.

1. Choose a topic: The learner chooses a topic for a blog article. For example: "Digital marketing trends in 2025".
2. Create a precise request (prompt): Example prompt: "Write a blog article on digital marketing trends for 2025, focusing on generative AI, content personalization, and automation of advertising campaigns."
3. Generate the text: Use ChatGPT to generate the first draft of the article.
4. Proofreading and personalization:Review the AI-generated content and make changes to adapt it to your style and needs. Add concrete examples and up-to-date data to improve the relevance of the content.
5. Finalization:Add a catchy title and a punchy conclusion.
   • Example title: "Digital Marketing in 2025: How AI Will Transform Your Campaigns".

Expected result: A structured article ready to be published on a blog or website.

Practical Case 2: Creating Images for a Marketing Campaign with DALL-E or MidJourney

Objective: Use an AI image generator to create visuals suited to an advertising campaign.

1. Define the concept of the image: The learner defines the message or idea to convey through an image for a campaign. For example: an advertising campaign for a new project management app.
2. Write a detailed prompt for the AI: Example prompt: "Create an image of a smartphone displaying a modern project management app, with minimalist design elements and a simple interface, on a clean desk background."
3. Generate the image: Use DALL-E or MidJourney to generate the image.
4. Edit and refine: If needed, adjust the prompt or use a retouching tool to improve the generated image (add specific details, adjust the colors, etc.).
5. Download and integrate into the campaign: Download the image and integrate it into a mockup of the marketing campaign.

Expected result: A professional, eye-catching image ready to be used for a social media campaign or in online ads.

Practical Case 3: Automating a Task with Zapier

Objective: Learn how to automate a repetitive task using AI and tools like Zapier.

1. Choose a repetitive task: The learner chooses a task they perform regularly, for example, sending a confirmation email after each newsletter signup.
2. Create a Zapier account: The learner goes to Zapier and creates an account (if they haven't already).
3. Set up a "Zap" to automate sending emails: Use DALL-E or MidJourney to generate the image.
   • Select the newsletter signup app (for example, Mailchimp) as the trigger.
   • Choose the action: "Send a personalized confirmation email".
4. Configure the settings: Personalize the email message and add dynamic variables (subscriber name, signup date, etc.).
5. Test and validate: Test the automation by signing up for the newsletter and checking that the email is sent correctly.

Expected result: The automation of a repetitive task, saving time and avoiding human error.

Practical Case 4: Using AI to Analyze Marketing Data

Objective: Use AI to analyze data and gain insights to improve a marketing campaign.

1. Import the data: The learner imports the data from an advertising campaign (for example, number of clicks, conversions, cost per click) into a tool such as Google Analytics or an AI data analysis platform.
2. Apply AI to analyze the data: Use a tool such as Google Data Studio or a specialized AI platform to analyze the campaign's performance.
3. Generate an analysis report: Ask the AI to generate insights based on the collected data, for example: "What trends can be observed in the cost per conversion in this campaign?"
4. Interpret the results: The learner interprets the analysis results to understand what worked well or poorly in the campaign. For example, they might discover that certain audience segments generated more conversions at a lower cost.
5. Adjust the campaign: Based on the results, the learner decides to adjust their marketing strategy, such as increasing the budget for certain segments or testing new creatives.

Expected result: An in-depth analysis of the campaign's performance and strategic adjustments based on the data generated by AI.

Practical Case 5: Using AI for Text Translation and Proofreading

Objective: Use AI to translate and proofread a text in several languages.

1. Choose a text to translate: The learner selects an article or an email they want to translate into another language (for example, from English to French).
2. Translate the text with DeepL or Google Translate: The learner uses an AI translation tool to translate the text.
3. Proofread the text with Grammarly or Antidote: After the translation, the learner uses a proofreading tool such as Grammarly to make sure the translated text is grammatically correct and reads smoothly.
4. Final review: The learner rereads the final text to make sure it stays faithful to the original message and is culturally appropriate for the target language.

Expected result: A well-translated, well-proofread text, ready to be sent to clients or partners in another language.

Conclusion

These practical cases will help learners become familiar with using generative AI tools in real professional contexts.
They will learn to generate content, automate tasks, analyze data, and use AI responsibly and productively in their daily lives.