GPU Programming on Biren AI Accelerators Training Course

This instructor-led, live training in Norway (online or on-site) targets beginner to intermediate AI engineers and software developers who aim to acquire a foundational understanding of AI engineering principles and practices.

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

• Comprehend the fundamental concepts and technologies underpinning AI and machine learning.
• Develop basic machine learning models using TensorFlow and PyTorch.
• Utilize AI techniques to resolve practical issues in software development.
• Oversee and sustain AI projects by adhering to industry best practices.
• Identify the ethical implications and responsibilities associated with developing AI systems.

This two-day, practical program equips participants with the skills to utilize Generative AI tools safely and consistently within technical and operational contexts. The training centers on establishing AI as a reliable everyday aid for refining documentation, organizing requirements, speeding up analysis and reporting, supporting problem-solving, and enhancing communication across functions. Participants will master proven prompting patterns, validation techniques to mitigate errors and “hallucinations,” and lightweight governance practices to protect confidential information and intellectual property. The course aims to yield immediately usable templates, workflows, and a repeatable approach to AI-assisted work.

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

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

• Comprehend the advanced concepts and technologies behind AI and ML.
• Analyze and visualize data to inform the development of AI/ML models.
• Build, train, and deploy AI/ML models effectively.
• Create intelligent applications capable of solving real-world problems.
• Evaluate the ethical implications of AI applications across various industries.

This instructor-led, live training in Norway (online or on-site) 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 Norway (online or onsite) is designed for data scientists, engineers, and AI practitioners at an intermediate to advanced level who aim to master the complexities of intelligent applications and apply them to solve challenging, real-world problems.

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

• Implementing and analyzing deep learning architectures.
• Applying machine learning at scale within a distributed computing environment.
• Designing and executing reinforcement learning models for decision-making.
• Developing advanced NLP systems for language understanding.
• Utilizing computer vision techniques for image and video analysis.
• Addressing ethical considerations in the development and deployment of AI systems.

Artificial Intelligence is rapidly establishing itself as the cornerstone of contemporary product management, fundamentally altering how teams identify customer needs, craft solutions, and navigate decision-making processes. Much like the advent of electricity transformed industrial capabilities, AI is redefining the lifecycle of product creation, validation, and evolution.

This live, instructor-led course, available both online and onsite, is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to leverage AI to elevate their ownership practices and reinforce the rigor of their strategic decisions.

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

• Grasp the core principles of Artificial Intelligence and clearly distinguish between traditional AI and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the emerging Orchestrator role, utilizing AI to amplify each stance—whether as a Visionary, Experimenter, or Customer Representative.
• Hone effective prompting techniques, viewing AI tools not merely as utilities, but as intelligent collaborators with distinct specialized capabilities.
• Enhance customer insight by developing AI-assisted personas for hypothesis testing and discovery, all while preserving genuine, direct engagement with end-users.
• Formulate and articulate a compelling product vision using structured methodologies like the 3x3 Framework, employing AI to refine and visualize strategic narratives.
• Leverage Generative AI capabilities to fast-track prototyping and hypothesis validation, such as rapidly generating mock-ups or conceptual product designs.
• Strengthen product decision-making by applying AI tools to analyze, prioritize, and assess features against criteria of value, feasibility, and user impact.
• Offload or automate routine administrative tasks—such as email management, stakeholder coordination, and meeting notes—via AI, thereby freeing capacity for high-level strategic and creative work.
• Facilitate informed discussions on AI ethics, algorithmic bias, and data security to ensure responsible and sustainable integration of AI technologies.
• Identify and architect high-value AI use cases specifically aligned with unique product requirements and organizational contexts.
• Explore and experiment with approximately 20 diverse AI tools and models, ranging from productivity assistants and prototyping platforms to generative solutions for video, imagery, and code.

Targeted at teams aiming to derive information from their own documents and guidelines, this instructor-led, live training in Norway offers a practical approach to corporate knowledge management.

By the end of the session, participants will be capable of:

• Preparing documents to be AI-ready
• Developing a knowledge assistant via Claude Projects, custom GPTs, or Langdock
• Obtaining answers with clear source attribution
• Ensuring the knowledge base remains current