Our Training Mission.
Empowered people who understand and are enthusiastic about AI's potential for themsleves, as much as your business!
Critical success factors in the AI decision making, selection and deployment process include fundamental knowledge of the technical principals of AI, governance and risk aspects, understanding the implications for your staff through changes in ways of working and the initial capital commitment and ongoing upkeep commitments.
Key to this learning process is training that delivers this core knowledge, is noise and hype free, and is delivered in a manner appropriate to the varying audiences and specific to the role they will play in the program.
Our training programs are designed to empower the decision makers for your AI program, at all levels. Ensuring they are adequately informed and feel empowered to make quality decisions and to have the knowledge, confidence and support to develop and embrace innovative ideas.
AI Readiness Training
We provide face to face AI Foundational Training & Workshops, tailored to your business type and using relatable industry case studies.business type and using relatable industry case studies.
Our training focus' on preparing participants for their involvement and participation in early stage AI opportunity discovery, use case development, identifying areas of value, and in turn building confidence to articulate the benefits of AI to their teams and colleagues.
Technical & Data Requirements
Participants learn the basic principals of AI, the different models and concepts, as well as the key role data has to play in AI success.
Participants will gain awareness of the evolution of AI, where it is headed and how to navigate the rapid changes typical of the industry.
Participants will learn to view the introduction of AI as a a strategic asset for themsleves and the business, providing opportunity to redefine work practices and processes.
Opportunities, Myths & Workplace Change
Learn where and why AI works in different settings and applications and we bust some long held myths about AI.
Participants will learn to identify and define horizontal and vertical business applications and use cases in their own industry and workplace, emphasising the maximisation of embedding end to end workflow automation, performance and ROI measures.
We will address the effects on business practices and workplace culture.
Participants will gain exposure to the legal and ethical implications of AI, including data privacy concerns under regulations like the GDPR.
Overview the identification and mitigation of potential AI-specific risks such as bias and discrimination, and the need for the establishment of governance frameworks, principles, policies, and practices to ensure the responsible and effective use of AI within organisations.
AI Governance & Risk Management
Who Is this Training For?
We run training programs for all business sizes and grouping, adjusted based on seniority, roles and AI Maturity.
Our suggested grouping and training objectives are outlined below.
Boards, Directors & Leadership
Focusing on the organisational aspects of AI Implementation, we will have a greater emphasis on the Legal, Ethical & Governace requirements in addition to Leaderships role in leading change, decision making and their long term commitment to funding, continuous improvement and measuring performance.
Duration: 0.5 to 1 Day
AI Leadership & Project Team, Ops & Functional Leads
With this teams primary role in deciding what will be implemented and how it will effect the business's existing work practices, future performance and work culture. The primary emphasis for this group will be to empower them as the Champions of Change and Project Leaders.
Duration: 1 to 2 Days
Many AI projects fail when the business leadership chooses what and when AI will be implemented. This group will be empowered to be involved in that process, how to be the conduit from which the real value springs, given their intimate knowledge of how work is done, where it can improve, and acting as change agents to the broader working teams.
Duration: 2 Days
