AI Engineering Fundamentals Training Course

CloudMatrix represents Huawei’s integrated platform for AI development and deployment, specifically engineered to facilitate scalable, production-ready inference pipelines.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate AI professionals aiming to deploy and oversee AI models utilizing the CloudMatrix platform, enhanced by CANN and MindSpore integration.

Upon completion of this training, participants will gain the ability to:

• Leverage CloudMatrix for model packaging, deployment, and serving.
• Convert and optimize models for Ascend chipsets.
• Establish pipelines for both real-time and batch inference tasks.
• Monitor deployments and optimize performance within production environments.

Course Format

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

Course Customization Options

• To arrange customized training for this course tailored to your specific AI infrastructure or cloud environment, please get in touch with us.

This intensive two-day workshop empowers participants with the practical skills needed to utilize Generative AI tools effectively, securely, and consistently within technical and operational workflows. The curriculum is centered on transforming AI into a dependable daily assistant for tasks such as drafting and refining documentation, organizing requirements, expediting analysis and reporting, enhancing problem-solving capabilities, and optimizing cross-functional communication. Attendees will master established prompting strategies, validation methods to minimize errors and "hallucinations," and streamlined governance protocols to safeguard confidential data and intellectual property. The program is structured to deliver immediately applicable templates, optimized workflows, and a scalable framework for AI-integrated work processes.

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

• 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 the UAE (online or onsite) is designed for AI professionals and software developers with intermediate to advanced expertise who aim 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.
• Analyze and visualize data to guide the development of AI/ML models.
• Effectively build, train, and deploy AI/ML models.
• Develop intelligent applications capable of solving real-world problems.
• Assess the ethical implications of AI applications across various industries.

This instructor-led, live training in the UAE (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 the UAE (online or onsite) is designed for intermediate to advanced data scientists, engineers, and AI practitioners seeking to master the nuances of intelligent applications and utilize them to resolve complex, real-world challenges.

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

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

Artificial Intelligence is swiftly emerging as the cornerstone of contemporary product management, fundamentally altering how we uncover customer needs, define solutions, and make strategic decisions. Much like electricity revolutionized industries, AI is reshaping the way products are developed, validated, and continuously evolved.

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

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

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Apply the seven key stances of a Product Owner (including the newly introduced Orchestrator stance) and utilize AI to reinforce each stance, such as Visionary, Experimenter, or Customer Representative.
• Master the art of effective prompting and treat AI tools as intelligent collaborators possessing specialized skills.
• Deepen customer insights by creating AI-supported personas for hypothesis testing and discovery, while ensuring authentic customer engagement is maintained.
• Develop and articulate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to craft and visualize compelling narratives.
• Utilize Generative AI tools to accelerate prototyping and hypothesis testing, including the generation of mock-ups and product concepts.
• Enhance product decision-making by using AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (such as emails, stakeholder management, and note-taking) using AI to free up time for 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 approximately 20 different AI tools and models — ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.