This real-time workshop provides an immersive experience tailored to the specific needs of each group. It is designed for teams, organizations, and professionals who want a deep understanding of AI and a structured, methodological way to integrate it into their daily activities.
Each session is fully personalized: industry challenges, operational goals, technical level, and real-use scenarios. The workshop blends clear explanations of how language models work, hands-on exercises, workflow creation, optimization techniques, and strategies to manage limitations such as bias, inconsistencies, and hallucinations.
Participants leave with a clear, reproducible, and immediately usable AI framework.
The session recording is available for 3 months, and the full PDF guide is included.
Perfect for: companies, consultants, trainers, production teams, and professionals seeking rapid, high-impact skill development.
Détails
- 9 Sections
- 31 Lessons
- 4 Hours
- Welcome & SetupWelcome messageCourse objectivesQuick participant survey: – Profession / domain – AI experience level – Why they’re taking this courseSession logistics & format2
- Understanding AI: Essential FoundationsTheoryWhat is AI?Differences between rule-based AI, statistical AI, and LLMsThe computer as an “ultra-fast calculator”What AI is NOT: limits & mythsQuick Exercise (5 min)Mini interactive quiz: “Can AI do this?”5
- Natural Language & How LLMs WorkWhat is natural language?How a LLM “understands” textTokens, embeddings, patternsStrengths: synthesis, generalizationWeaknesses: hallucinations, bias, contradictions6
- First Steps: Creating Your First PromptTheoryMinimal structure of an effective promptThe importance of contextClarity first: who, what, how, why4
- Method: What a LLM Needs To Work Well (25 min) TheoryThe model needs: role, purpose, constraints, format, contextHow to frame the model without overloading itPrinciple: say less, but say it betterExercise (5 min)Turn a weak prompt into a strong one (before/after)4
- Optimization: Improving Quality Without ComplexityWhen to add instructionsHow to correct the modelAnti-hallucination strategiesHow to structure a multi-step request5
- Working With Minimal InstructionsA. Discovering an Unknown Topic (Identifying what is known, unknown, and needs clarification)B. Exploring Multiple Solution Paths (Generating and comparing alternative reasoning strategies)C. Avoiding Errors and Hallucinations (Diagnosing risks, exposing assumptions, controlling reasoning)D. Structuring Knowledge and Organizing Information (Decomposition, hierarchy, and logical reconstruction)E. Rapid and Effective Synthesis (Compression → controlled expansion → professional formats)5
- Personalized Real-World CasesSuit the professions of the participants (examples):writing tasksanalysissynthesisevaluationidea generationinformation extraction0
- Wrap-Up & ResourcesSummary of the methodCommon mistakes to avoidGood general practicesOverview of included PDF and materialsQ&A5
Formateur
