GPU Programming on Biren AI Accelerators Training Course

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.

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.

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) 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 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.

Artificial Intelligence is quickly becoming the cornerstone of modern product management, fundamentally altering how we uncover customer needs, define solutions, and drive decisions. Much like the industrial revolution brought by electricity, AI is redefining the way products are conceived, validated, and evolved.

This live, instructor-led course—available both online and on-site—is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to grasp how AI can elevate product ownership and reinforce decision-making processes.

Upon completion, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the newly introduced Orchestrator stance, and utilize AI to reinforce roles such as Visionary, Experimenter, and Customer Representative.
• Master the art of effective prompting, treating AI tools as intelligent partners with specialized capabilities.
• Enhance customer insights by developing AI-assisted personas for hypothesis testing and discovery, while ensuring genuine engagement with end-users.
• Formulate and articulate a clear product vision using structured approaches like the 3x3 Framework, employing AI to craft and visualize compelling narratives.
• Leverage Generative AI to fast-track prototyping and hypothesis validation, including the creation of mock-ups and initial product concepts.
• Inform product decisions by applying AI tools to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Delegate or automate routine operational tasks, such as email management, stakeholder communication, and note-taking, to concentrate on strategic and creative endeavors.
• Facilitate dialogue on AI ethics, bias, and data security, promoting a responsible and sustainable adoption strategy.
• Pinpoint and engineer high-value AI use cases that align with specific product goals and organizational contexts.
• Investigate and practice with approximately 20 distinct AI tools and models, ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.

This live, instructor-led training in Vietnam is tailored for teams who wish to extract answers from their own documentation and internal guidelines.

By the end of the session, participants will be equipped to:

• Prepare documents for AI consumption
• Develop a knowledge assistant via Claude Projects, custom GPTs, or Langdock
• Obtain answers accompanied by source citations
• Ensure the knowledge base remains current