Artificial Intelligence and Automation Practitioner (AIAP)
Course Description
The Artificial Intelligence and Automation Practitioner (AIAP) course is designed to provide learners with the practical knowledge and skills needed to identify, design, implement, and improve business processes using Artificial Intelligence (AI), automation, and digital workflow technologies.
The course focuses on applying AI and automation to real-world business environments. Participants learn how to analyse existing processes, identify inefficiencies and automation opportunities, gather business requirements, design improved workflows, and evaluate the effectiveness of AI-enabled solutions.
Learners will explore key technologies and concepts including Artificial Intelligence, intelligent automation, digital workflows, low-code/no-code platforms, process improvement, and data-driven decision-making. The course also addresses the responsible use of AI, including data governance, privacy, information security, ethical considerations, transparency, and appropriate human oversight.
A strong emphasis is placed on the complete AI and automation lifecycle—from identifying a business problem and building a business case through solution design, testing, implementation, monitoring, and continuous improvement. Learners will also develop the stakeholder engagement and communication skills required to successfully introduce AI and automation solutions within an organisation.
The programme is suitable for professionals seeking practical capabilities in AI adoption, automation, business process improvement, and digital transformation.
Who Should Attend?
This course is suitable for:
- AI and Automation Practitioners
- Business and Process Analysts
- Digital Transformation Professionals
- Operations and Service Delivery Professionals
- IT and Digital Professionals
- Workflow and Automation Specialists
- Project and Programme Team Members
- Business Improvement and Change Professionals
- Low-Code/No-Code Practitioners
- Professionals looking to develop practical AI and automation skills
Course Objectives
Upon completion of this course, participants will be able to:
- Understand the role of an AI and Automation Practitioner.
- Explain key concepts associated with AI, automation, and digital workflows.
- Analyse existing business processes and identify inefficiencies.
- Identify and assess suitable opportunities for AI and automation.
- Gather stakeholder requirements and define solution scope.
- Develop business cases for AI and automation initiatives.
- Design effective future-state and automated workflows.
- Apply data governance, privacy, security, and responsible AI principles.
- Understand the role of low-code and no-code technologies in automation.
- Plan and conduct testing and evaluation of automated solutions.
- Support the implementation and adoption of AI-enabled workflows.
- Monitor solution performance and identify opportunities for continuous improvement.
- Communicate effectively with technical and non-technical stakeholders.
Course Content
- Introduction to AI and Automation
- Artificial Intelligence fundamentals
- Understanding automation and intelligent automation
- Digital workflows
- AI and automation in modern organisations
- Benefits and limitations of AI technologies
- Role of the AI and Automation Practitioner
- Business Process Analysis
- Understanding business processes
- Process and workflow mapping
- Identifying bottlenecks and inefficiencies
- Root cause analysis
- Identifying automation opportunities
- Assessing process suitability for AI and automation
- Requirements and Business Case Development
- Understanding stakeholder requirements
- Gathering and documenting requirements
- Defining scope and objectives
- Establishing success criteria
- Assessing benefits, costs, and risks
- Developing an AI and automation business case
- AI and Automation Technologies
- AI-enabled business solutions
- Rule-based and intelligent automation
- Low-code and no-code technologies
- Workflow automation
- System and application integration
- Selecting appropriate technologies
- Data, Governance and Responsible AI
- Understanding data requirements
- Data quality and information management
- Data protection and privacy
- GDPR considerations
- Information security
- Ethical and responsible AI
- Transparency and accountability
- Human oversight of automated decisions
- Workflow and Solution Design
- Designing future-state processes
- Developing automated workflows
- Integrating AI into business processes
- Designing approvals and decision points
- Managing exceptions
- Human intervention and escalation
- Usability and operational considerations
- Testing and Evaluation
- Developing testing approaches
- Functional and workflow testing
- Scenario-based testing
- User testing and feedback
- Pilot implementation
- Evaluating solution effectiveness
- Identifying and resolving issues
- Implementation and Adoption
- Preparing solutions for implementation
- Implementation planning
- Stakeholder communication
- User training and support
- Managing organisational change
- Encouraging adoption of AI and automation
- Monitoring and Continuous Improvement
- Monitoring automated workflows
- Defining performance indicators
- Measuring business value
- Identifying performance issues
- Gathering stakeholder feedback
- Continuous process improvement
- Optimising AI and automation solutions
- Professional Practice
- Applying AI and automation skills in the workplace
- Working with technical and business stakeholders
- Professional communication
- Responsible professional practice
- Evaluating outcomes and lessons learned
- Developing future AI and automation capabilities
Key Skills You Will Gain
Participants will develop practical skills in:
- Artificial Intelligence and automation
- Business process analysis
- Workflow design and automation
- Automation opportunity assessment
- Requirements gathering
- Business case development
- Low-code/no-code technologies
- Data governance
- Responsible and ethical AI
- Testing and implementation
- Performance monitoring
- Continuous improvement
- Stakeholder engagement
- Digital transformation
Career Opportunities
The course can support professionals pursuing roles such as:
- AI and Automation Practitioner
- Automation Analyst
- Business Process Analyst
- Digital Workflow Specialist
- Process Improvement Analyst
- Digital Transformation Specialist
- Business Automation Specialist
- Change and Transformation Associate
- Operations Improvement Professional
- AI Governance or Responsible AI Coordinator
Why Choose This Course?
Artificial Intelligence and automation are rapidly changing how organisations operate. Successful adoption requires professionals who understand not only AI technologies but also business processes, people, governance, risk, and organisational requirements.
The Artificial Intelligence and Automation Practitioner (AIAP) course provides a practical approach to connecting AI and automation technologies with genuine business needs. Participants develop the skills required to identify valuable opportunities, design responsible solutions, support successful implementation, and continuously improve automated processes.
This makes the programme suitable for professionals who want to play an active role in AI adoption, business automation, process improvement, and digital transformation.
