GPU Programming on Biren AI Accelerators Training Course

This instructor-led training in India presents CloudMatrix as a solution for scalable AI inference. Discover how to deploy, optimize, and oversee models using CANN and MindSpore. Practical exercises address packaging, conversion, serving, and performance tuning for both real-time and batch workloads.

This live, instructor-led training in India (available online or onsite) is tailored for beginner to intermediate AI engineers and software developers aiming to build a strong foundation in AI engineering principles and practices.

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

• Comprehend the core concepts and technologies driving AI and machine learning.
• Construct basic machine learning models using TensorFlow and PyTorch.
• Apply AI techniques to resolve practical issues in software development.
• Manage and maintain AI projects through established best practices.
• Acknowledge the ethical implications and responsibilities associated with developing AI systems.

In this immersive two-day session, participants gain the practical ability to utilize Generative AI tools effectively, securely, and consistently across technical and operational tasks. The training centers on establishing AI as a reliable daily assistant for documentation drafting and refinement, requirement structuring, accelerated analysis and reporting, problem-solving support, and streamlined cross-functional communication. Attendees will learn robust prompting patterns, implement validation techniques to minimize errors and 'hallucinations,' and adopt lightweight governance practices to protect sensitive information and intellectual property. The course aims to deliver instantly usable templates, workflows, and a repeatable methodology for AI-assisted work.

This instructor-led, live training in India (online or on-site) is designed for AI professionals and software developers at intermediate to advanced levels who aim to develop smart applications using AI and ML.

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

• Grasping the advanced concepts and technologies underpinning AI and ML.
• Analyzing and visualizing data to guide the development of AI/ML models.
• Effectively constructing, training, and deploying AI/ML models.
• Developing smart applications capable of addressing real-world challenges.
• Assessing the ethical implications of AI applications across different industries.

Transition CUDA applications to Chinese GPU architectures such as Huawei Ascend and Biren in India. This live course guides advanced programmers through code translation and performance optimization, featuring hands-on labs for porting CUDA codebases to new SDKs.

This instructor-led, live training in India (online or onsite) is designed for IT professionals at the beginner level who wish to acquire a foundational understanding of intelligent applications and their application 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 instructor-led, live training in India (online or on-site) is designed for data scientists, engineers, and AI professionals ranging from intermediate to advanced levels who aim to master the intricacies of intelligent applications and utilize them to address challenging, real-world problems.

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

• Implementing and evaluating deep learning architectures.
• Applying machine learning techniques at scale within distributed computing environments.
• Designing and executing reinforcement learning models to facilitate decision-making.
• Developing advanced NLP systems for language comprehension.
• Employing computer vision methods for image and video analysis.
• Addressing ethical implications in the creation and deployment of AI systems.

Enhance AI workload efficiency on Ascend, Biren, and Cambricon through this hands-on training in India. Master the art of model benchmarking, bottleneck identification, and the application of graph, kernel, and operator-level optimizations. Fine-tune deployment pipelines to boost throughput and minimize latency across these top-tier platforms.

Artificial Intelligence is rapidly emerging as the bedrock of contemporary product management, fundamentally altering how we uncover customer needs, define solutions, and make strategic decisions. Much like electricity transformed industry, AI is reshaping the lifecycle of products—how they are constructed, validated, and iterated.

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 amplify product ownership and fortify 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 and Generative AI (GenAI).
• Implement the seven preferred stances of a Product Owner (including the newly introduced Orchestrator stance) and leverage AI to enhance each role—such as Visionary, Experimenter, or Customer Representative.
• Excel in effective prompting techniques, viewing AI tools as intelligent collaborators with distinct capabilities.
• Deepen customer insights by creating AI-supported personas for hypothesis testing and discovery, while preserving genuine customer interactions.
• Formulate and articulate a clear product vision using structured frameworks like the 3x3 Framework, utilizing AI to craft and visualize narratives.
• Accelerate prototyping and hypothesis testing with Generative AI tools, such as generating mock-ups or refining product concepts.
• Inform product decisions 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 email management, stakeholder coordination, and note-taking) via AI, allowing focus on strategic and creative endeavors.
• Facilitate discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI adoption.
• Identify and design high-value AI use cases tailored to specific product and organizational contexts.
• 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.