AI Engineering Training in Nantes

CloudMatrix is Huawei’s comprehensive AI development and deployment platform designed to enable scalable, production-grade inference pipelines.

This instructor-led live training (available online or onsite) targets beginner to intermediate AI professionals seeking to deploy and monitor AI models using the CloudMatrix platform with integrated CANN and MindSpore support.

By the conclusion of this training, participants will be capable of:

• Utilizing CloudMatrix for model packaging, deployment, and serving.
• Converting and optimizing models specifically for Ascend chipsets.
• Establishing pipelines for both real-time and batch inference tasks.
• Monitoring deployments and tuning performance in production environments.

Course Format

• Interactive lectures and discussions.
• Hands-on practice with CloudMatrix using real-world deployment scenarios.
• Guided exercises focusing on conversion, optimization, and scaling.

Course Customization Options

• To request a customized training session tailored to your specific AI infrastructure or cloud environment, please contact us to arrange it.

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

Upon completion, participants will be able to:

• Comprehend the fundamental concepts and technologies underlying AI and machine learning.
• Develop basic machine learning models using TensorFlow and PyTorch.
• Apply AI techniques to resolve practical issues in software development.
• Oversee and sustain AI projects by adhering to industry best practices in AI engineering.
• Acknowledge the ethical implications and responsibilities associated with AI system development.

Biren AI Accelerators are high-performance GPUs designed for AI and HPC workloads with support for large-scale training and inference.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level developers who wish to program and optimize applications using Biren’s proprietary GPU stack, with practical comparisons to CUDA-based environments.

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

• Understand Biren GPU architecture and memory hierarchy.
• Set up the development environment and use Biren’s programming model.
• Translate and optimize CUDA-style code for Biren platforms.
• Apply performance tuning and debugging techniques.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Hands-on use of Biren SDK in sample GPU workloads.
• Guided exercises focused on porting and performance tuning.

Course Customization Options

• To request a customized training for this course based on your application stack or integration needs, please contact us to arrange.

This instructor-led, live training in Nantes (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.

This two-day, practical program provides participants with the necessary skills to utilize Generative AI tools effectively, securely, and consistently within technical and operational contexts. The curriculum emphasizes transforming AI into a dependable daily assistant for drafting and refining documentation, organizing requirements, speeding up analysis and reporting, aiding in problem-solving, and optimizing cross-functional communication. Attendees will master proven prompting strategies, validation methods to minimize errors and 'hallucinations,' and lightweight governance frameworks to safeguard confidential data and intellectual property. The course is structured to deliver immediately applicable templates, workflows, and a sustainable methodology for AI-assisted work.

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.