GPU Programming on Biren AI Accelerators Training Course

This instructor-led, live training in South Korea (available online or onsite) targets beginner to intermediate-level AI engineers and software developers aiming to establish 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.

Over the course of two intensive days, this hands-on program empowers participants to integrate Generative AI tools into their technical and operational workflows with precision, safety, and consistency. The curriculum is designed to transform AI into a dependable daily companion for enhancing documentation, organizing requirements, speeding up analysis and reporting, facilitating problem resolution, and optimizing cross-functional communication. Attendees will master established prompting strategies, learn validation methods to mitigate errors and 'hallucinations,' and adopt streamlined governance practices that safeguard confidential data and intellectual property. By the end of the session, participants will possess immediately applicable templates, optimized workflows, and a sustainable framework for AI-assisted productivity.

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate to advanced AI professionals and software developers who wish to build smart applications using AI and ML.

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

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

This instructor-led, live training in South Korea (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 South Korea (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 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 rapidly emerging as the cornerstone of modern product management, fundamentally transforming how we identify customer needs, define solutions, and make strategic decisions. Just as the advent of electricity revolutionized industry, AI is reshaping the lifecycle of products, influencing how they are built, validated, and evolved.

This instructor-led, live training (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 able to:

• Grasp the fundamentals of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Apply the seven preferred stances of a Product Owner (including the newly introduced Orchestrator stance) and leverage AI to reinforce each role, such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and treat AI tools as intelligent collaborators with specialized skills.
• Deepen customer understanding by creating AI-supported personas for hypothesis testing and discovery, while maintaining authentic customer engagement.
• Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, utilizing AI to shape and visualize narratives.
• Accelerate prototyping and hypothesis testing by using Generative AI tools, such as generating mock-ups or product concepts.
• Support product decisions by analyzing, prioritizing, and evaluating features based on value, feasibility, and user impact using AI tools.
• Automate or delegate routine daily tasks (e.g., emails, stakeholder management, note-taking) using AI, allowing greater focus on 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.