AI Engineering Training in Tashkent

CloudMatrix serves as Huawei's consolidated AI development and deployment platform, engineered to facilitate scalable, production-ready inference pipelines.

This instructor-led live training, available either online or onsite, targets beginner to intermediate-level AI professionals looking to deploy and monitor AI models using the CloudMatrix platform, integrated with CANN and MindSpore.

Upon completing 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 fine-tuning 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.

Customization Options

• To request tailored training for this course based on your specific AI infrastructure or cloud environment, please reach out to us to arrange.

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

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

• Understand the advanced concepts and technologies behind AI and ML.
• Analyze and visualize data to inform AI/ML model development.
• Build, train, and deploy AI/ML models effectively.
• Create intelligent applications that can solve real-world problems.
• Evaluate the ethical implications of AI applications in various industries.

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level to advanced-level data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and leverage them to solve complex, real-world problems.

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

• Implement and analyse 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.
• Utilise 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 Tashkent (online or onsite) is designed for beginner to intermediate AI engineers and software developers who wish to establish 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 engineered for AI and HPC workloads, offering robust support for large-scale training and inference tasks.

This instructor-led, live training session (available online or on-site) is designed for intermediate to advanced developers seeking to program and optimise applications using Biren's proprietary GPU stack, with practical comparisons to CUDA-based environments.

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

• Comprehend the Biren GPU architecture and its memory hierarchy.
• Configure the development environment and effectively utilise Biren's programming model.
• Translate and optimise CUDA-style code for deployment on Biren platforms.
• Apply advanced performance tuning and debugging techniques.

Course Format

• Interactive lectures and guided discussions.
• Hands-on application of the Biren SDK in real-world GPU workloads.
• Structured exercises focused on code porting and performance optimisation.

Course Customisation Options

• To request a customised training programme tailored to your specific application stack or integration requirements, please contact us to arrange a session.

This instructor-led, live training in Tashkent (online or onsite) is designed for beginner-level IT professionals seeking a foundational understanding of intelligent applications and their applicability across various industries.

By the conclusion 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 training emphasizes transforming AI into a dependable daily assistant for drafting and refining documentation, organizing requirements, expediting analysis and reporting, aiding in problem-solving, and enhancing cross-functional communication. Participants will master established prompting techniques, validation methods to minimize errors and "hallucinations," and lightweight governance protocols to safeguard confidential data and intellectual property. The course aims to deliver immediately applicable templates, workflows, and a reproducible methodology for AI-assisted work.

This instructor-led, live training is aimed at anyone who wants to ensure their organisation is compliant, minimises risks, and empowers their workforce to leverage AI safely and ethically.

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

• Understand how AI systems function and their potential applications.
• Identify risks and limitations associated with AI systems.
• Adhere to relevant legal and ethical requirements.

Artificial Intelligence is quickly emerging as the backbone of contemporary product management — fundamentally changing how we identify customer needs, define solutions, and make strategic choices. Much like electricity transformed industries, AI is reshaping the creation, validation, and evolution of products.

This live, instructor-led 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 improve decision-making processes.

Upon completing this training, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between conventional AI and Generative AI (GenAI).
• Implement the seven key Product Owner stances (including the new Orchestrator role) and leverage AI to bolster each one — such as the Visionary, Experimenter, or Customer Representative roles.
• Master effective prompting techniques and view AI tools as skilled, intelligent collaborators.
• Enhance customer insights by developing AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer interactions.
• Craft and articulate a clear product vision using structured frameworks like the 3x3 Framework, utilizing AI to shape and visualize narratives.
• Utilize Generative AI tools to speed up prototyping and hypothesis testing, including the generation of mock-ups and product concepts.
• Inform product decisions by using AI to analyze, prioritize, and assess features based on their value, feasibility, and user impact.
• Automate or delegate routine daily activities (such as emails, stakeholder management, and note-taking) with AI to free up time for strategic and creative work.
• Facilitate conversations around AI ethics, bias, and data security to ensure responsible and sustainable AI implementation.
• Identify and design high-value AI use cases specific to the 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.