AI Enablement Training for Engineers Training Course

This instructor-led session on Uzbekistan explores CloudMatrix for scalable AI inference. Participants will learn to deploy, optimize, and monitor models using CANN and MindSpore. Hands-on activities cover packaging, conversion, serving, and performance tuning for both real-time and batch workloads.

This guided, live training in Uzbekistan (online or in-person) is designed for beginner to intermediate AI engineers and software developers who aim to build a foundational understanding of AI engineering principles and practices.

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

• Comprehend the central concepts and technologies driving AI and machine learning.
• Construct basic machine learning models using TensorFlow and PyTorch.
• Apply AI methods to resolve practical challenges in software development.
• Manage and sustain AI projects through adherence to AI engineering best practices.
• Acknowledge the ethical implications and responsibilities tied to developing AI systems.

This live training on Uzbekistan empowers developers to program and optimize applications on Biren AI accelerators. Learners will explore GPU architecture, configure the SDK, and adapt CUDA code for Biren, with a strong emphasis on performance tuning and debugging methodologies.

This instructor-led, live training in Uzbekistan (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 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.

This instructor-led, live training in Uzbekistan (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 instructor-led, live training in Uzbekistan (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.

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.