GPU Programming on Biren AI Accelerators Training Course

This instructor-led session in Serbia provides an introduction to CloudMatrix for scalable AI inference. Participants will learn to deploy, optimize, and monitor models utilizing CANN and MindSpore. The curriculum includes hands-on exercises covering packaging, conversion, serving, and performance tuning for both real-time and batch workloads.

This instructor-led, live training in Serbia (online or on-site) is designed for AI engineers and software developers at beginner to intermediate levels seeking a foundational grasp of AI engineering principles and practices.

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts and technologies driving AI and machine learning.
• Develop basic machine learning models using TensorFlow and PyTorch.
• Utilize AI techniques to resolve practical software development challenges.
• Effectively manage and maintain AI projects by adhering to industry best practices.
• Awareness of the ethical implications and responsibilities associated with AI system development.

Spanning two days of practical, hands-on training, this program equips participants with the necessary skills to utilize Generative AI tools effectively, safely, and consistently in technical and operational environments. The focus is on establishing AI as a reliable day-to-day assistant for drafting and improving documentation, structuring requirements, accelerating analysis and reporting, aiding problem-solving, and streamlining cross-functional communication. Participants will acquire proven prompting patterns, techniques to verify outputs and reduce errors or “hallucinations,” and lightweight governance practices to protect confidential information and intellectual property. The course is structured to deliver immediately applicable templates, workflows, and a repeatable methodology for AI-assisted work.

This guided, live training in Serbia (online or in-person) is designed for intermediate to advanced AI specialists and software developers aiming to construct smart applications leveraging AI and ML.

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

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

Migrate CUDA applications to Chinese GPU architectures such as Huawei Ascend and Biren in Serbia. This instructor-led course assists advanced programmers in code translation and performance optimization, featuring hands-on labs for porting CUDA codebases to new SDKs.

This instructor-led, live training in Serbia (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 Serbia (online or onsite) is tailored for intermediate to advanced data scientists, engineers, and AI practitioners who aim to master the complexities of intelligent applications and utilize them to address complex, real-world problems.

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 implement reinforcement learning models for strategic decision-making.
• Build advanced NLP systems capable of deep language comprehension.
• Apply computer vision techniques for comprehensive image and video analysis.
• Navigate and address ethical implications in the creation and deployment of AI systems.

Optimize AI workloads on Ascend, Biren, and Cambricon through this practical training in Serbia. Develop skills in model benchmarking, bottleneck identification, and the application of graph, kernel, and operator-level optimizations. Fine-tune deployment pipelines to improve throughput and latency across these premier platforms.

Artificial Intelligence is quickly establishing itself as the cornerstone of contemporary product management, fundamentally altering how we identify customer needs, formulate solutions, and make critical decisions. Much like the industrial revolution sparked by electricity, AI is transforming the lifecycle of products—reshaping how they are constructed, validated, and iterated upon.

This live, instructor-led training, available both online and in-person, is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to grasp how AI can elevate product ownership and bolster decision-making processes.

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

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI approaches and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner (including the newly introduced Orchestrator stance) and utilize AI to reinforce each role—such as Visionary, Experimenter, or Customer Representative.
• Develop proficient prompting techniques and view AI tools as intelligent collaborators possessing specialized capabilities.
• Enhance customer insights by creating AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer connections.
• Formulate and articulate a compelling product vision using structured frameworks like the 3x3 Framework, leveraging AI to craft and visualize narratives.
• Accelerate prototyping and hypothesis testing using Generative AI tools, such as generating mock-ups or conceptual product designs.
• Inform product decisions by employing AI tools to analyze, prioritize, and assess features based on their value, feasibility, and impact on users.
• Automate or delegate routine daily responsibilities (including emails, stakeholder management, and note-taking) via AI, allowing more focus on strategic and creative endeavors.
• Facilitate discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI integration.
• Identify and design high-value AI use cases tailored to specific products and organizational contexts.
• Explore and experiment with approximately 20 distinct AI tools and models—ranging from productivity assistants and prototyping platforms to generative solutions for video, images, and code.