This programme develops your professional skills across 2 accredited units through 34 blended sessions.
You will build a portfolio of evidence mapped to all 141 assessment criteria.
Units Covered
Course Content
34 sessions covering the full programme and assessment requirements.
Programme Induction, the Standard and EPA Overview
Organisational Leadership in Responsible AI Adoption
Legal, Regulatory and Ethical Frameworks for AI
Social and Economic Impacts of AI and Change Management
Capabilities, Risks and Implications of On-Premise, Cloud and Third-Party AI Solutions
User Requirements, Accessibility and the Product Development Lifecycle
Enhancing Productivity and Designing AI to Augment Human Work
Capabilities, Benefits, Risks and Ethics of AI and Digital Tools
Collaborative Working and Change / Project Management Principles
Wellbeing, Safe Working and Ethical, Responsible Practice
Human-Centred Design Principles and Balanced Project Communications
Assessing Solution Viability and Aligning Technical Solutions with Business Needs
Process Mapping, Automation Design Tools and Prompt Engineering
Taskset 1 Project Workshop: Scope and Design
AI and Automation Concepts, Limitations, and Human Oversight
Incremental Change, Piloting and Organisational Constraints
Assessing Viability and Testing Methodologies
Analytical / Computational Techniques and Data Preparation
Integrating AI and Automation Technologies for Data Collection, Processing and Management
Designing, Integrating and Testing Digital Workflows
Iterating Solutions and Feedback / Evaluation Loops
Taskset 2 Project Workshop: Build, Test and Refine
Sustainable Solution Design and AI Governance
Sources of Error, Algorithmic Bias and Fairness Metrics
Supporting Non-Technical Users: Engagement, Training and Resources
Post-Deployment Mitigation, Long-Term Monitoring and Reporting
Taskset 3 Project Workshop: Full Project Cross-Check
Inclusive Communication and Keeping Knowledge Current
Training Delivery, Deployment Support and Sustainable, Ethical Automation Opportunities
AI Governance, Compliance, Workforce Equality, Assurance and Data Security
Mock Presentation with Questions / Mock Professional Discussion 1
Gateway Documentation Workshop
Final Mock EPA Day and Final Debrief
Progress Review 6 and Final Gateway Readiness Sign-Off
What You Will Achieve
✓The role of organisational leadership in responsible AI adoption, including setting values, policy, and strategy. The business case for ethical AI adoption, including reputational risk, staff morale, and long-term sustainability.
✓Understand the potential social and economic impacts of AI and automation on different roles, particularly for non-technical staff including change management principles.
✓Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
✓Understand the importance of designing AI and automation systems that augment rather than replace human work, where feasible.
✓Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation, including retraining, redeployment, or upskilling of affected staff.
✓Understand the capabilities, benefits and risks of automation, AI and digital tools including responsible use, ethical considerations and the potential impact on the workforce.
✓Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
✓Understand AI and automation concepts, models and limitations, including the impact adoption may have on workplace culture and wellbeing.
How This Programme Works
Course Includes
- 34 -
- 34 Topics
- 35 Modules
