AI Engineering Training in Transylvania

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

This instructor-led training, available both online and onsite, targets beginner to intermediate AI professionals aiming to deploy and monitor AI models utilizing the CloudMatrix platform integrated with CANN and MindSpore.

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

• Leveraging 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 optimizing performance in production environments.

Course Format

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

Customization Options

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

This guided, live training in Transylvania (online or onsite) is designed for AI specialists and software developers at intermediate to advanced levels who want to create smart applications using AI and ML.

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

• Grasp advanced concepts and technologies underlying AI and ML.
• Analyze and visualize data to guide the development of AI/ML models.
• Effectively build, train, and deploy AI/ML models.
• Develop smart applications capable of solving real-world challenges.
• Assess the ethical implications of AI applications across various industries.

This instructor-led, live training in Transylvania (online or on-site) is designed for intermediate to advanced data scientists, engineers, and AI practitioners who aim to master the nuances of intelligent applications and apply them to solve 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 Transylvania (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.

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 Transylvania (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 course focuses on transforming AI into a dependable daily assistant for creating and refining documentation, organizing requirements, speeding up analysis and reporting, aiding in problem-solving, and optimizing cross-functional communication. Attendees will master proven prompting patterns, validation methods to minimize errors and 'hallucinations,' and lightweight governance measures to safeguard confidential data and intellectual property. The curriculum is structured to deliver immediately applicable templates, workflows, and a reproducible methodology for AI-assisted work.

Artificial Intelligence is swiftly establishing itself as the cornerstone of contemporary product management, fundamentally altering how we uncover customer requirements, formulate solutions, and make strategic choices. Much like electricity transformed industrial processes, AI is reshaping the way products are developed, validated, and evolved.

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

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 key stances of a Product Owner (including the emerging Orchestrator stance) and utilizing AI to reinforce each role — such as Visionary, Experimenter, or Customer Representative.
• Mastering effective prompting techniques and viewing AI tools as intelligent collaborators with distinct expertise.
• Enhancing customer insight and developing AI-assisted personas for hypothesis testing and discovery, all while preserving genuine customer engagement.
• Formulating and articulating a distinct product vision using structured frameworks like the 3x3 Framework, employing AI to craft and visualize narratives.
• Leveraging Generative AI tools to expedite prototyping and hypothesis testing, for instance, by creating mock-ups or product concepts.
• Informing product decisions by utilizing AI tools to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Automating or delegating routine daily tasks (emails, stakeholder management, note-taking) via AI to dedicate more time to strategic and creative endeavors.
• Facilitating discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI integration.
• Recognizing and designing high-value AI use cases customized to the specific product and organizational environment.
• 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.