AI Engineering Training in the UAE

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

This instructor-led, live training in the UAE (online or onsite) is designed for AI professionals and software developers with intermediate to advanced expertise who aim to build intelligent applications using AI and ML.

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

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

This instructor-led, live training in the UAE (online or onsite) is designed for intermediate to advanced data scientists, engineers, and AI practitioners seeking to master the nuances of intelligent applications and utilize them to resolve complex, real-world challenges.

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

• Implement and evaluate deep learning architectures.
• Apply machine learning at scale within distributed computing environments.
• Design and execute reinforcement learning models for decision-making.
• Develop sophisticated NLP systems for language comprehension.
• 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 the UAE (online or onsite) targets beginner to intermediate-level AI engineers and software developers who aim 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.

This live training in the UAE empowers developers to effectively program and optimize applications on Biren AI accelerators. Participants will master GPU architecture, configure the SDK, and translate CUDA code to Biren. The course emphasizes advanced performance tuning and debugging methodologies.

This instructor-led, live training in the UAE (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 intensive two-day, hands-on program empowers participants with the practical skills needed to utilize Generative AI tools effectively, safely, and consistently within technical and operational contexts. The training emphasizes leveraging AI as a dependable daily assistant for tasks such as drafting and refining documentation, structuring requirements, expediting analysis and reporting, facilitating problem-solving, and enhancing cross-functional communication. Participants will acquire proven prompting strategies, validation methods to minimize errors and hallucinations, and lightweight governance practices to safeguard confidential information and intellectual property. The course is structured to deliver immediately applicable templates, workflows, and a sustainable approach to AI-assisted productivity.

Artificial Intelligence is swiftly emerging as the cornerstone of contemporary product management, fundamentally altering how we uncover customer needs, define solutions, and make strategic decisions. Much like electricity revolutionized industries, AI is reshaping the way products are developed, validated, and continuously evolved.

This instructor-led, live training session (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches who seek to understand how AI can enhance product ownership capabilities and strengthen decision-making processes.

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

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Apply the seven key stances of a Product Owner (including the newly introduced Orchestrator stance) and utilize AI to reinforce each stance, such as Visionary, Experimenter, or Customer Representative.
• Master the art of effective prompting and treat AI tools as intelligent collaborators possessing specialized skills.
• Deepen customer insights by creating AI-supported personas for hypothesis testing and discovery, while ensuring authentic customer engagement is maintained.
• Develop and articulate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to craft and visualize compelling narratives.
• Utilize Generative AI tools to accelerate prototyping and hypothesis testing, including the generation of mock-ups and product concepts.
• Enhance product decision-making 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 emails, stakeholder management, and note-taking) using AI to free up time for strategic and creative work.
• Lead discussions on AI ethics, bias, and data security, ensuring responsible and sustainable AI adoption.
• Identify and design valuable AI use cases tailored to the specific 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.