Mastering Prompt Engineering with Mistral
This hands-on, practice-driven course enables participants to unlock the full potential of generative AI through effective prompt engineering. By learning structured prompt design, advanced reasoning strategies, and agentic workflows, participants will develop the ability to use AI tools with precision and impact. The course emphasizes both technical skills and ethical guidelines to ensure responsible use in professional contexts.
Content
This training will cover:
- Introduction to AI, machine learning, and generative models
- Prompt types and structures for different tasks
- Advanced prompting methods: chain-of-thought, etc.
- Agentic prompting: workflows with tool-augmented AI
- Evaluating and refining prompts for quality and consistency
- Ethics and compliance: safe and policy-aware AI usage
- Practical exercises and feedback sessions
Learning Outcomes
By the end of this training, participants will be able to:
- Design effective prompts tailored to specific professional tasks
- Apply advanced prompting strategies to improve AI reasoning
- Develop tool-augmented workflows using agentic approaches
- Evaluate and refine prompts for clarity, precision, and safety
- Integrate ethical and compliance considerations in AI-assisted work
Training Method
Interactive workshops combining short theory modules, live demonstrations, peer collaboration, and hands-on exercises with AI tools.
Prerequisites
This training has no prerequisitesPlanning and location
09:00 - 16:00
Your trainer(s) for this course
Tomer Libal
See trainer's courses.Tomer Libal is an artificial intelligence expert and educator with over 25 years of experience connecting technology, policy, and learning. He is the Founder and CEO of Enidia AI, a Luxembourg-based company helping organizations adopt responsible, trustworthy AI systems. Tomer has led national research projects on explainable AI and access-to-justice tools, and he regularly advises institutions on the impact of automation and digital transformation on education and the workforce.
A former Assistant Professor of Computer Science at the American University of Paris and Research Scientist at the University of Luxembourg, Tomer has taught over 30 courses in AI, data science, and law. His current work focuses on helping professionals and educators build practical AI literacy and integrate new technologies confidently and ethically into their fields.