AI Engineering Fundamentals Training Course

CloudMatrix serves as Huawei's consolidated platform for AI development and deployment, engineered to facilitate scalable, production-ready 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 CloudMatrix with CANN and MindSpore integration.

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

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

Course Format

• Interactive lectures and discussions.
• Practical application of CloudMatrix in real-world deployment scenarios.
• Guided exercises focusing on conversion, optimization, and scaling.

Course Customization Options

• For customized training tailored to your specific AI infrastructure or cloud environment, please contact us to make arrangements.

This two-day, practical programme empowers participants with the skills to utilise Generative AI tools effectively, safely, and consistently within technical and operational contexts. The training emphasises transforming AI into a dependable daily assistant for drafting and refining documentation, structuring requirements, expediting analysis and reporting, facilitating problem-solving, and optimising cross-functional communication. Attendees will master established prompting patterns, validation methods to minimise errors and “hallucinations,” and lightweight governance practices to safeguard confidential information and intellectual property. The course is tailored to yield immediately applicable templates, workflows, and a repeatable methodology for AI-assisted work.

Biren AI Accelerators are high-performance GPUs engineered for AI and HPC workloads, supporting large-scale training and inference.

This instructor-led, live training (available online or onsite) targets intermediate to advanced developers looking to program and optimize applications using Biren’s proprietary GPU stack, with practical comparisons to CUDA-based environments.

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

• Grasp Biren GPU architecture and memory hierarchy.
• Configure the development environment and utilize Biren’s programming model.
• Translate and optimize CUDA-style code for Biren platforms.
• Implement performance tuning and debugging techniques.

Course Format

• Interactive lectures and discussions.
• Practical application of the Biren SDK in sample GPU workloads.
• Guided exercises focused on porting and performance tuning.

Customization Options

• To request customized training tailored to your application stack or integration requirements, please contact us to arrange.

This instructor-led, live training in Portugal (online or onsite) is tailored for intermediate to advanced AI professionals and software developers who wish to build intelligent applications using AI and ML.

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

• Grasp the advanced concepts and technologies underpinning AI and ML.
• Analyse and visualize data to guide the development of AI/ML models.
• Effectively build, train, and deploy AI/ML models.
• Develop intelligent applications capable of addressing real-world problems.
• Assess the ethical implications of AI applications across various industries.

This instructor-led, live training in Portugal (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 instructor-led, live training in Portugal (online or on-site) is designed for intermediate to advanced data scientists, engineers, and AI practitioners aiming to master the nuances of intelligent applications and utilize them to solve intricate, real-world challenges.

Upon completing this training, participants will be capable of:

• Implementing and analyzing deep learning architectures.
• Applying machine learning at scale within distributed computing environments.
• Designing and executing reinforcement learning models for decision-making.
• Developing sophisticated natural language processing (NLP) systems for language understanding.
• Utilizing computer vision techniques for image and video analysis.
• Addressing ethical considerations in the development and deployment of AI systems.

Artificial Intelligence is swiftly establishing itself as the cornerstone of contemporary product management, fundamentally altering how we identify customer needs, define solutions, and make critical decisions. Much like the electrification revolutionized industry, Artificial Intelligence is redefining the lifecycle of products—from their construction and validation to their ongoing evolution.

This instructor-led, live training session, available either online or onsite, is specifically designed for Product Owners, Scrum Masters, and Agile Coaches seeking to comprehend how AI can elevate product ownership and bolster decision-making capabilities.

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

• Grasping the core principles of Artificial Intelligence and distinguishing between conventional AI and Generative AI (GenAI).
• Implementing the seven preferred stances of a Product Owner—including the emerging Orchestrator stance—and leveraging AI to reinforce each role, such as the Visionary, Experimenter, or Customer Representative.
• Mastering the art of effective prompting and viewing AI tools as intelligent collaborators with distinct specializations.
• Enhancing customer insights and utilizing AI to create personas for hypothesis testing and discovery, all while preserving genuine customer interactions.
• Formulating and articulating a clear product vision through structured frameworks like the 3x3 Framework, using AI to craft and visualize narratives.
• Employing Generative AI tools to speed up prototyping and hypothesis testing, including the creation of mock-ups or product concepts.
• Informing product decisions by utilizing AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Automating or delegating routine daily responsibilities—such as email management, stakeholder engagement, and note-taking—to free up time for strategic and creative work.
• Facilitating discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI integration.
• Identifying and designing valuable AI use cases that are tailored to the specific product and organizational context.
• Exploring and experimenting with approximately 20 different AI tools and models—ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.