Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Prompt Engineering - Mastering Generative AI in the Enterprise training are: Basic use of an AI chatbot like ChatGPT or Gemini, general computer knowledge. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Prompt Engineering - Mastering Generative AI in the Enterprise training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Prompt Engineering - Mastering Generati... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training Prompt Engineering - Mastering Generative AI in the Enterprise training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training Prompt Engineering - Mastering Generative AI in the Enterprise training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Prompt Engineering - Mastering Generative AI in the Enterprise training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Master the fundamentals of prompt engineering for precise and professional AI responses

Develop skills in structuring prompts tailored to business needs

Design prompt chains to automate daily professional tasks

Implement AI optimization techniques with tools like Claude and Grok

Optimize AI interactions for performant business applications in 2026

Evaluate and iterate on prompts to maximize professional productivity

Training program

Module 1Prompt Engineering Fundamentals: Discovery of AI Models and First Prompts (ChatGPT, Gemini)

Dive into the basics of prompt engineering with quick installation of essential AI tools, exploration of models like GPT-4o and Claude 3.5, writing simple prompts to generate structured text, practical exercises on concrete business cases such as report synthesis, analysis of responses to identify common errors, and creation of your first reusable template with immediate trainer feedback.

Module 2Basic Prompt Engineering Techniques: Roles, Context, and Precision (Midjourney, Perplexity)

Learn to assign precise roles to the AI for professional results, enriching prompts with detailed context and few-shot examples, intensive practice on generating adapted marketing content, use of Midjourney for targeted visuals, comparative tests between tools to refine your skills, and production of deliverables like an optimized campaign plan, while measuring the impact on output quality.

Module 3Prompt Chains in Prompt Engineering: Iteration and Refinement (Claude, Grok)

Build multi-step prompt chains for complex business tasks, master iteration with AI auto-correction, exercises on data analysis and automated professional email writing, integration of Grok for creative responses, practical cases inspired by 2026 like HR automation, development of your red thread project with real-time debugging, and evaluation of concrete time savings.

Module 4Business Applications of Prompt Engineering: Productivity and Creativity (OpenAI API, No-Code Tools)

Apply prompt engineering to your professional domains via prompts for simple code generation, SEO content creation and brainstorming ideation, connection to basic APIs without heavy coding, collaborative workshops on real business scenarios like AI customer support, optimization for text-image multimodality, creation of functional prototypes, and sharing of best practices for immediate team integration.

Module 5Advanced Beginner Optimization in Prompt Engineering: 2026 Trends and Evaluation (AI Agents, Security)

Anticipate 2026 with prompts for autonomous AI agents and advanced multimodality, focus on prompt security against jailbreaks, final exercises on your red thread project with simulated deployment, code and prompt review by the expert trainer, performance measurement via precise metrics, preparation for certification with practical MCQ, and personal action plan for sustainable skills development in the enterprise.

Evaluation method

Multiple-choice quiz to validate acquired knowledge at the end of the prompt engineering training
Continuous evaluation through practical exercises and prompt chains
Presentation of the red thread AI project to the certified trainer