AI Engineering Training in Vietnam

This live training in Vietnam 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 activities, the course covers packaging, conversion, serving, and performance tuning for both real-time and batch workloads.

This instructor-led, live training session Vietnam (online or on-site) is designed for intermediate to advanced AI professionals and software developers who wish to build smart applications using AI and ML.

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

• Grasping the advanced concepts and technologies underlying AI and ML.
• Analyzing and visualizing data to guide the development of AI/ML models.
• Effectively building, training, and deploying AI/ML models.
• Developing intelligent applications that address real-world challenges.
• Assessing the ethical implications of AI applications across various industries.

This instructor-led live training in Vietnam (online or onsite) targets intermediate to advanced data scientists, engineers, and AI practitioners seeking to master the complexities of intelligent applications and leverage them for real-world problem-solving.

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

• Implement and analyze 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.
• 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 Vietnam (online or on-site) is designed for beginner to intermediate AI engineers and software developers seeking a foundational understanding of AI engineering principles and practices.

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

• Grasp the core concepts and technologies underlying AI and machine learning.
• Develop basic machine learning models using TensorFlow and PyTorch.
• Apply AI techniques to resolve practical issues in software development.
• Manage and maintain AI projects by adhering to best practices in AI engineering.
• Identify the ethical implications and responsibilities associated with developing AI systems.

This live training in Vietnam equips developers with the skills to program and optimize applications on Biren AI accelerators. Participants will learn the GPU architecture, set up the SDK, and translate CUDA code to Biren. It focuses on performance tuning and debugging techniques.

This instructor-led, live training in Vietnam (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.

Over the course of two days, this practical workshop empowers attendees with the essential skills to leverage Generative AI tools with precision, safety, and consistency in their technical and operational roles. The core objective is to establish AI as a dependable daily partner for tasks such as creating and refining documentation, organizing requirements, speeding up analysis and reporting, assisting with problem resolution, and enhancing communication across different departments. Attendees will acquire effective prompting strategies, methods for verifying output to minimize errors and 'hallucinations,' and streamlined governance measures to safeguard sensitive data and intellectual property. This program aims to deliver immediately applicable templates, established workflows, and a sustainable framework for AI-supported workflows.

Artificial Intelligence is swiftly emerging as the cornerstone of contemporary product management, fundamentally changing how we identify customer needs, define solutions, and make critical decisions. Much like electricity revolutionized industries, AI is reshaping the lifecycle of products—from creation and validation to evolution.

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

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

• Grasp the core concepts 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 leverage AI to enhance each role—such as the Visionary, Experimenter, or Customer Representative.
• Master the art of effective prompting and view AI tools as intelligent collaborators with specialized capabilities.
• Enhance customer insight by creating AI-assisted personas for hypothesis testing and discovery, while preserving genuine human interaction with customers.
• Articulate a clear product vision using structured frameworks like the 3x3 Framework, utilizing AI to shape and visualize compelling narratives.
• Accelerate prototyping and hypothesis testing through Generative AI tools, such as generating mock-ups or developing product concepts.
• Inform product decisions by using AI to analyze, prioritize, and evaluate features based on their value, feasibility, and impact on users.
• Automate or delegate routine daily tasks (such as emails, stakeholder management, and note-taking) via AI, freeing up time for strategic and creative work.
• 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 requirements 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 coding.