Creation of written and visual content through the responsible use of generative artificial intelligence

This training opens up new professional opportunities, enabling participants to stand out in a constantly evolving professional environment. Thanks to AI, they will be able to better manage their time, boost their productivity, and enhance their efficiency.

This training prepares learners for the final certification exam “Creation of written and visual content through the responsible use of generative artificial intelligence,” registered with France Compétences under number RS6776. The final exam is mandatory. The certifying body is Inkréa Certifications. At the end of the training, the trainee agrees to take the exam leading to certification.

As this vocational training course leads to a qualification, it may be funded by the CPF. Any course that does not fall within the scope of Article L6313-1 of the Labour Code is not eligible for funding under this scheme.

Learning Objectives

Define the implementation strategy for generative artificial intelligence according to the professional context and existing generative AI tools such as ChatGPT, Google Gemini, Adobe Firefly, Microsoft Copilot, etc., by identifying possible optimizations in order to develop a strategic plan for integrating and installing generative AI tools on the workstation.

Use generative AI tools optimally to create written and visual content adapted to the initial request, accessible to people with disabilities, and avoiding any risk of violating data confidentiality in a professional context.

Assess and resolve ethical and regulatory issues related to the use of generative artificial intelligence tools in order to create content that complies with the AI Act and the General Data Protection Regulation, GDPR.

Target Audience and Prerequisites

Target Audience

Employees and job seekers in the service sector whose work includes producing written content such as emails, summary notes, reports, meeting minutes, articles, or visual content such as social media posts, images, and websites. The certification is designed to meet the specific needs of professionals working in assistance, secretarial work, marketing, communications, human resources, and legal fields.

Prerequisites

It is preferable to have initial professional experience as well as familiarity with using the Internet.

Duration

21 hours delivered over 3 days.

Training Modalities

The training may take place in person at 16 rue du Caire, 75002 Paris, or remotely. Remote sessions will be delivered via a video conferencing platform, with course materials and practical exercises accessible at any time.

Targeted Skills

Upon completion of this training, participants will be able to:

To formulate clear and effective prompts to interact with AI tools like ChatGPT.

Guarantee the confidentiality of professional data when using generative AI tools.

To automatically generate polished and professionally designed presentations.

Use optimization techniques for content generated by generative AI tools.

Apply the guidelines of the AI Act and the GDPR.

Teaching Methods and Resources

Theoretical presentations: Presentation of key concepts and demonstration of AI tools.

Case studies: Analysis of real-world situations to illustrate the impact of AI on work organization.

Practical exercises: Scenarios and interactive workshops to apply the concepts discussed.

Summative assessment: Assessment by the RS6776 certifying body.

Évaluation sommative : Évaluation par le certificateur RS6776.

Disability Policy, Access Procedures and Deadlines

Disability Policy:

In case of disability, contact our disability coordinator: contact@french-techfactory.com

Registration Procedures:

Registration by interview, project analysis, and placement test.

Applications are open throughout the year.

Access Timeframe:

Access to the training will be sent after the expiration of your legal withdrawal period.

Pricing

The price of this training is €1,650 excluding VAT for 21 hours of training. This rate includes access to online educational tools, personalized training materials, practical workshops allowing direct application of the concepts covered, and assessments to ensure proper assimilation of the teachings.

*VAT not applicable under article 261.4.4 of the CGI.

Training Content

Module 1: Implementing a generative AI strategy on the workstation

Introduction to generative AI and its capabilities

How generative AI works

Major generative AI tools and their features: ChatGPT, Google Gemini, Adobe Firefly, Microsoft Copilot, Gamma, Fireflies

Examples of uses on the workstation

Task analysis and identification of optimizations with generative AI

Methodology for analyzing professional tasks

Identification of possible optimizations using generative AI tools

Concrete examples in professional situations

Configuration and installation of major generative AI tools

Account creation and exploration of generative AI tool interfaces: ChatGPT, Google Gemini, Adobe Firefly, Microsoft Copilot, Gamma, Fireflies

Development of an action plan for implementing generative AI on the workstation

Strategic planning and development of the action plan: list of tasks, associated tools, potential budget, deadlines, collaborators to involve, testing phases, and feedback

Module 2: Creating written and visual content: effectiveness, confidentiality, accessibility

Basic principles of prompt engineering and written structure of the prompt

Definition and importance of prompt engineering

Prompt engineering methodology: structure and best practices

Examples and analysis of well-structured prompts to use for simple tasks

Creating written and visual content with generative AI

Written content creation: ChatGPT vs. Google Gemini

Going further with ChatGPT: features and GPT Store

Visual content creation: Microsoft Copilot, Adobe Firefly, Gamma

Transcription and writing meeting minutes: ChatGPT, Aiko, Fireflies

Risks related to the violation of confidential data

What is sensitive data?

Internal company data / external data

Best practices for security when using generative AI tools

Data anonymization

Access restrictions and internal digital security policy

Manual review and corrections

Importance of accessibility in content creation: current legislation and standards

Disability and inclusion policy: the 2005 law

Types of disabilities and their specific needs

Accessibility for people with visual impairments

Use of alternative descriptions for visuals

Structuring and hierarchy of content

Generation of audio transcription for written content

Accessibility for people with hearing impairments

Written transcription of audio content and generation of subtitles

Simple and direct language

Accessibility for people with cognitive disabilities

Simplification of written content

Clear, predictable, and logical structure

Introduction to the FALC methodology, “Easy to Read and Understand”

Content optimization techniques: optimization strategies

Why optimize content?

Improvement strategies

Examples of optimizations: constraints, context, style, format, disability

Module 3: Ethical and regulatory compliance of content generated using generative AI tools

The European regulatory framework: AI Act guidelines

The importance of the AI Act in regulating the use of artificial intelligence technologies in Europe

Main AI Act guidelines: risk classification, bias, transparency, protection of fundamental rights

Ensuring content compliance with the AI Act: best practices

Transparency and explainability

Continuous evaluation, risk analysis, and resolution

Identification of bias and resolution of ethical issues

Regular review of processes

Personal data protection: the General Data Protection Regulation, GDPR

Introduction: the importance of personal data protection when using generative AI tools

Main GDPR guidelines: transparency, data minimization, consent, accountability

Ensuring content compliance with the GDPR: best practices

Consent, processing, and security of personal data

Anonymization and pseudonymization

Continuous monitoring of procedures

Setting up regulatory monitoring

The importance of monitoring: staying informed about the latest revisions of legal texts

Setting up regulatory monitoring: methodology and best practices

Learning Assessment Procedures and Results Validation

Upstream: placement test

Formative assessment: practical application by the trainee and exam preparation + knowledge assessment through MCQs at the end of each module

Satisfaction: immediate feedback, then follow-up feedback 1 month after the training

Summative assessment: Assessment by the RS6776 certifying body described below

Validation: issuance of an individual certificate

Final Assessment Procedures (Summative Assessment)

At the end of the program, learners agree to take the exam with a view to obtaining the certification “Creation of written and visual content through the responsible use of generative artificial intelligence,” registered with France Compétences by Inkréa Certifications under number RS6776.

The certification exam consists of a written assignment to be submitted within 10 days after the end of the training, based on 6 practical case studies, followed by a 20-minute oral presentation. Taking the assessment is mandatory for any candidate using their CPF rights to finance the training. In the event of refusal to take the exam, reimbursement of the training may be requested.

Material Resources

Dedicated Digital Platform:

The training takes place on a video conferencing platform, with interactive tools to facilitate discussion and interaction during sessions.

Training Materials:

Training materials are provided to each participant, enabling learners to revisit the content covered during the training.

Technical Support Arrangements

To ensure an optimal learning experience, technical support is available to resolve any difficulties encountered when connecting to the training or using the video conferencing platform. In case of connection issues or technical difficulties, the trainer can be contacted by email, SMS, or WhatsApp. This assistance will quickly resolve any difficulties related to accessing sessions or using online tools, thus ensuring the continuity of the training.

Details of academic support

Educational support is also provided to answer questions related to the training content. Should clarification or further details be needed on the concepts covered, the trainer will be available by email, SMS, or WhatsApp. This system aims to ensure personalized follow-up and to ensure that the teachings are well understood and integrated into the learners’ professional context.

Inter

Intra

Remote Class

Duration:21 hours (3 days)

Price:€1,650 excl. VAT*

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