AI Engineering Training in Lyon

This instructor-led, live training in Lyon (online or onsite) is designed for intermediate to advanced AI professionals and software developers aiming to construct intelligent applications using AI and ML.

Upon completion of this training, participants will be capable of:

• Grasping the advanced concepts and technologies underpinning AI and ML.
• Analyzing and visualizing data to guide the development of AI/ML models.
• Effectively building, training, and deploying AI/ML models.
• Creating intelligent applications capable of addressing real-world challenges.
• Assessing the ethical implications of AI applications across various industries.

This instructor-led live training, conducted Lyon (online or onsite), targets intermediate to advanced data scientists, engineers, and AI practitioners seeking to master the complexities of intelligent applications and leverage them to address complex, real-world problems.

By the end of this training, participants will be able to:

• Implement and analyze deep learning architectures.
• Apply machine learning at scale in a distributed computing environment.
• Design and execute reinforcement learning models for decision-making.
• Develop sophisticated NLP systems for language understanding.
• Utilize computer vision techniques for image and video analysis.
• Address ethical considerations in the development and deployment of AI systems.

This instructor-led, live training in Lyon (online or onsite) is aimed at beginner-level to intermediate-level AI engineers and software developers who wish to gain a foundational understanding of AI engineering principles and practices.

By the end of this training, participants will be able to:

• Understand the core concepts and technologies behind AI and machine learning.
• Implement basic machine learning models using TensorFlow and PyTorch.
• Apply AI techniques to solve practical problems in software development.
• Manage and maintain AI projects using best practices in AI engineering.
• Recognize the ethical implications and responsibilities involved in developing AI systems.

This instructor-led, live training in Lyon (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.

By the end of this training, participants will be able to:

• Understand the history, principles, and impact of artificial intelligence.
• Identify and apply different machine learning algorithms.
• Manage and analyze data effectively for AI applications.
• Recognize the practical applications and limitations of AI in different sectors.
• Discuss the ethical considerations and societal implications of AI technology.

Spanning two intensive days, this hands-on initiative provides participants with the practical competencies needed to leverage Generative AI tools effectively, securely, and consistently within technical and operational contexts. The training aims to establish AI as a trustworthy daily partner for creating and polishing documentation, structuring requirements, speeding up analysis and reporting, aiding problem-solving efforts, and simplifying cross-functional dialogue. Attendees will master proven prompting patterns, validation techniques that minimize errors and “hallucinations,” and streamlined governance practices to ensure the protection of sensitive information and intellectual property. The program is tailored to deliver instantly applicable templates, efficient workflows, and a repeatable framework for AI-supported tasks.

Artificial Intelligence is rapidly establishing itself as the cornerstone of contemporary product management, fundamentally transforming how we uncover customer needs, define solutions, and make strategic decisions. Much like electricity revolutionized industry, Artificial Intelligence is reshaping the way products are built, validated, and evolved.

This instructor-led, live training (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to understand how AI can enhance product ownership and strengthen decision-making capabilities.

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

• Grasp the fundamentals of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Apply the seven preferred stances of a Product Owner (including the new Orchestrator stance) and utilize AI to reinforce each stance, such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and treat AI tools as intelligent collaborators with specialized skills.
• Deepen customer understanding and create AI-supported personas for hypothesis testing and discovery, while maintaining authentic customer contact.
• Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualize narratives.
• Use Generative AI tools to accelerate prototyping and hypothesis testing, such as generating mock-ups or product concepts.
• Support product decisions by using AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (emails, stakeholder management, note-taking) using AI to focus on strategic and creative work.
• Lead discussions on AI ethics, bias, and data security, ensuring responsible and sustainable AI adoption.
• Identify and design valuable AI use cases tailored to the specific product and organizational context.
• Explore and experiment with around 20 different AI tools and models — from productivity assistants and prototyping platforms to generative video, image, and coding solutions.