GPU Programming on Biren AI Accelerators Training Course

This instructor-led, live training in New Zealand (online or onsite) is designed for beginner to intermediate-level AI engineers and software developers seeking a solid grounding in AI engineering principles and practices.

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

• Grasp the core concepts and technologies underpinning AI and machine learning.
• Construct basic machine learning models using TensorFlow and PyTorch.
• Utilise AI techniques to resolve practical issues in software development.
• Manage and sustain AI projects by adhering to best practices in AI engineering.
• Acknowledge the ethical implications and responsibilities associated with developing AI systems.

This two-day, practical workshop is designed to help professionals gain the confidence and competence needed to leverage Generative AI tools securely and consistently within their technical and operational roles. The program prioritises transforming AI into a dependable daily companion for enhancing documentation, organising requirements, speeding up analysis and reporting, assisting with problem-solving, and facilitating smoother communication across teams. Participants will explore established prompting strategies, methods for validating output to minimise errors and 'hallucinations', and streamlined governance frameworks that safeguard confidential data and intellectual property. By the end of the session, attendees will have a toolkit of ready-to-use templates, workflows, and a sustainable approach to integrating AI into their regular tasks.

This instructor-led, live training in New Zealand (online or on-site) is aimed at intermediate-level to advanced-level AI professionals and software developers who wish to build intelligent applications using AI and ML.

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

• Understand the advanced concepts and technologies underpinning AI and ML.
• Analyse and visualise data to inform AI/ML model development.
• 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 New Zealand (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 across 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 analyse data effectively for AI applications.
• Recognise 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 New Zealand (online or on-site) is designed for intermediate to advanced-level data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and apply them to solve complex, real-world challenges.

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

• Implement and analyse deep learning architectures.
• Apply machine learning at scale within a distributed computing environment.
• Design and execute reinforcement learning models for decision-making.
• Develop sophisticated NLP systems for language understanding.
• Utilise computer vision techniques for image and video analysis.
• Address ethical considerations in the development and deployment of AI systems.

Artificial Intelligence is quickly establishing itself as the cornerstone of contemporary product management, fundamentally altering the ways we uncover customer needs, formulate solutions, and drive decision-making. Much like the industrial shift brought by electricity, AI is redefining the lifecycle of products—from their creation and validation to their ongoing evolution.

Designed for Product Owners, Scrum Masters, and Agile Coaches, this instructor-led live training (available online or onsite) focuses on harnessing AI to elevate product ownership and fortify 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 role—using AI to amplify effectiveness in areas such as Visionary leadership, Experimentation, and Customer Representation.
• Develop proficiency in effective prompting, treating AI tools as intelligent partners with distinct specialisations.
• Enhance customer insight by creating AI-assisted personas for hypothesis testing and discovery, all while preserving genuine customer engagement.
• Craft and articulate a clear product vision using structured methodologies such as the 3x3 Framework, utilising AI to refine and visualise narratives.
• Leverage Generative AI tools to speed up prototyping and hypothesis testing, including the generation of mock-ups and product concepts.
• Inform product decisions by employing AI tools to analyse, prioritise, and assess features based on value, feasibility, and user impact.
• Streamline or delegate routine operational tasks (such as email management, stakeholder coordination, and note-taking) via AI, freeing up time for strategic and creative pursuits.
• Facilitate informed discussions on AI ethics, bias, and data security to ensure responsible and sustainable adoption of AI technologies.
• Recognise and design high-value AI use cases specifically tailored to unique product and organisational contexts.
• Investigate and trial 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 New Zealand is specifically tailored for teams who wish to obtain answers sourced from their own internal documentation and guidelines.

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

• Formatting documents to facilitate AI processing
• Developing a knowledge assistant via Claude Projects, custom GPTs, or Langdock
• Accessing answers accompanied by verifiable sources
• Maintaining an up-to-date knowledge base