Generative AI training Generative AI training — ChatGPT, Claude and LLMs
Master ChatGPT, Claude, Gemini and prompt engineering — practical training to use generative AI like an expert in your role. Create content, automate tasks and multiply your productivity by 3 from the first week.
What you get
Operational generative AI expert
Why train in generative AI in 2026?
Generative AI (LLMs, text-to-image, text-to-video models) has become essential across every profession. Professionals who master prompt engineering and LLM best practices are now 3 to 5 times more productive on creation, analysis and communication tasks.
Our generative AI training gives you the skills to move from basic use (asking ChatGPT a question) to expert use (structured prompts, task chains, workflow integration) — with immediate impact on your productivity.
What you learn in generative AI training
LLM fundamentals: how ChatGPT, Claude, Gemini and other models work, their real capabilities, their limits (hallucinations, knowledge cut-off) and how to use them knowingly.
Prompt engineering: techniques for precise, high-quality results — prompt structure, role instructions, few-shot examples, chain-of-thought, context management and iteration.
Practical business use cases: content creation (articles, emails, social posts), document summarisation and analysis, code generation and debugging, data analysis with AI interpretation, and decision support.
Limits and best practices: hallucinations, bias, data confidentiality, output verification, responsible business use and AI Act compliance.
ChatGPT, Claude or Gemini — which to choose?
In 2026, there is no single best model — each LLM has its strengths. ChatGPT (GPT-4o) excels in versatility and code. Claude 3.5 stands out on long documents and precise instructions. Gemini integrates natively with Google Workspace. Mistral and Llama are relevant for on-premise use with data confidentiality. Our training teaches you to choose the right tool for each task.
Key points
What you need to know about generative AI training
No technical skills required
LLMs are used in natural language — training is accessible to all profiles, including non-technical teams
Immediate productivity impact
Learners report on average a 3× boost in productivity on creation and analysis tasks from the first week
Hallucinations and risks covered
Training covers LLM limits and verification practices for reliable professional use
Content updated continuously
The field evolves fast — our courses integrate the latest models and features, updated every quarter
What do you learn in generative AI training?
How LLMs work, mastery of ChatGPT, Claude, Gemini, prompt engineering, business use cases (content, analysis, code), limits and risks, and professional usage best practices.
Do I need technical skills for this training?
No — accessible to all profiles, including without technical skills. LLMs are used in natural language. Training is 100% hands-on on concrete use cases from your role.
What is the difference between ChatGPT, Claude and Gemini?
ChatGPT: excellent versatility and code. Claude: precise on long documents and complex instructions. Gemini: integrated with Google Workspace. Our training teaches you to choose the right model for each task.
How do you guard against LLM hallucinations?
Training covers techniques: verification prompts, source requests, RAG to ground AI in your data, and human validation workflows for critical content.