AI Engineering Fundamentals Training Course

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

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level AI professionals who wish to deploy and monitor AI models using the CloudMatrix platform with CANN and MindSpore integration.

Upon completing this training, participants will be equipped to:

• Utilize CloudMatrix for model packaging, deployment, and serving.
• Convert and optimize models for Ascend chipsets.
• Configure pipelines for both real-time and batch inference tasks.
• Monitor deployments and tune performance in production settings.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of CloudMatrix with real deployment scenarios.
• Guided exercises focused on conversion, optimization, and scaling.

Course Customization Options

• To request a customized training for this course based on your AI infrastructure or cloud environment, please contact us to arrange.

This intensive two-day program provides participants with the practical skills needed to leverage Generative AI tools effectively, securely, and consistently within technical and operational contexts. The curriculum is designed to transform AI into a dependable daily assistant for tasks such as drafting and refining documentation, organizing requirements, speeding up analysis and reporting, facilitating problem-solving, and enhancing cross-functional communication. Attendees will master effective prompting strategies, learn validation methods to minimize errors and "hallucinations," and adopt lightweight governance frameworks to safeguard confidential data and intellectual property. By the end of the course, participants will have access to ready-to-use templates, standardized workflows, and a sustainable methodology for AI-augmented work.

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 Bulgaria (online or onsite) is designed for AI professionals and software developers at intermediate to advanced levels who aim to construct intelligent applications using AI and ML.

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

• Comprehend the advanced concepts and technologies underpinning AI and ML.
• Analyze and visualize data to guide AI/ML model development.
• Construct, train, and deploy AI/ML models effectively.
• Develop intelligent applications capable of addressing real-world challenges.
• Assess the ethical implications of AI applications across various industries.

This instructor-led live training in Bulgaria (online or onsite) is designed for 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 live, instructor-led training in Bulgaria (online or on-site) targets intermediate to advanced data scientists, engineers, and AI practitioners who aim to master the intricacies of intelligent applications and apply them to solve complex, real-world challenges.

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

• Implement and evaluate deep learning architectures.
• Deploy machine learning solutions at scale within distributed computing environments.
• Design and execute reinforcement learning models to facilitate decision-making.
• Build advanced natural language processing (NLP) systems for language comprehension.
• Apply computer vision techniques for image and video analysis.
• Address ethical implications in the creation and deployment of AI systems.

Artificial Intelligence is swiftly emerging as the cornerstone of contemporary product management, fundamentally altering how we identify customer needs, design solutions, and make strategic decisions. Much like electricity transformed industry, AI is reshaping the lifecycle of product creation, validation, and evolution.

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 elevate product ownership and enhance decision-making capabilities.

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).
• Implement the seven key Product Owner stances (including the newly introduced Orchestrator stance) and utilize AI to reinforce each role — such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and view AI tools as intelligent collaborators with distinct capabilities.
• Deepen customer insights and create AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer engagement.
• Craft and articulate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualize narratives.
• Utilize Generative AI tools to expedite prototyping and hypothesis testing, including the creation of mock-ups and product concepts.
• Inform product decisions by employing 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 dedicate more time to strategic and creative work.
• Facilitate discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI integration.
• 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.