Online AI Engineering Training in Australia

This instructor-led, live training in Australia (online or onsite) is designed for intermediate to advanced AI professionals and software developers looking to construct intelligent applications using AI and ML.

Upon completing this training, participants will be able to:

• Grasp the advanced concepts and technologies underpinning AI and ML.
• Analyse and visualise data to guide AI/ML model development.
• Construct, train, and deploy AI/ML models effectively.
• Create intelligent applications capable of solving real-world problems.
• Assess the ethical implications of AI applications across various industries.

This instructor-led, live training in Australia (online or onsite) is designed for data scientists, engineers, and AI practitioners at intermediate to advanced levels who aim to master the nuances of intelligent applications and utilise them to address complex, real-world challenges.

Upon completion 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 natural language processing (NLP) systems for language understanding.
• Utilise computer vision techniques for image and video analysis.
• Navigate ethical considerations in the development and deployment of AI systems.

This instructor-led, live training in Australia (online or onsite) is designed for beginner to intermediate AI engineers and software developers seeking a solid grasp of the principles and practices underpinning AI engineering.

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

• Grasp the fundamental concepts and technologies driving AI and machine learning.
• Develop basic machine learning models utilising TensorFlow and PyTorch.
• Apply AI techniques to resolve practical issues within software development.
• Manage and maintain AI projects in accordance with industry best practices.
• Identify the ethical implications and responsibilities associated with developing AI systems.

This instructor-led, live training in Australia (online or onsite) is designed for beginner-level IT professionals seeking a foundational understanding of intelligent applications and their practical application 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 two-day, hands-on workshop provides participants with the practical skills needed to utilise Generative AI tools effectively, safely, and consistently within technical and operational contexts. The program is dedicated to transforming AI into a dependable daily aid for drafting and refining documentation, organising requirements, expediting analysis and reporting, aiding problem resolution, and facilitating cross-functional communication. Learners will acquire established prompting patterns, validation methods to mitigate errors and 'hallucinations', and lightweight governance strategies to safeguard confidential information and intellectual property. The course is structured to yield immediately applicable templates, workflows, and a sustainable methodology for AI-assisted tasks.

Artificial Intelligence is rapidly emerging as the cornerstone of contemporary product management, fundamentally transforming how we identify customer needs, define solutions, and make critical decisions. Just as electricity revolutionised industry, AI is reshaping how products 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 wish to understand how AI can enhance product ownership and strengthen decision-making.

By the conclusion 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 new Orchestrator stance) and leverage AI to strengthen each role — such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and treat AI tools as intelligent collaborators with specialised skills.
• Deepen customer understanding and create AI-supported personas for hypothesis testing and discovery, while maintaining authentic customer contact.
• Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualise narratives.
• Utilise Generative AI tools to accelerate prototyping and hypothesis testing, such as generating mock-ups or product concepts.
• Support product decisions by using AI tools to analyse, prioritise, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (emails, stakeholder management, note-taking) using AI to 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 organisational context.
• Explore and experiment with around 20 different AI tools and models — from productivity assistants and prototyping platforms to generative video, image, and coding solutions.