APMG Artificial Intelligence and Automation Practitioner (AIAP) - eLearning (exam included)
1.650,00 EUR
- 30 hours
Artificial Intelligence and Automation Practitioner (AIAP) is a practical, Level 4 professional qualification designed for individuals who want to use AI, automation, and digital workflows to improve how organisations work. Rather than focusing purely on AI theory, the programme teaches learners how to identify inefficiencies, analyse business processes, evaluate automation opportunities, design practical solutions, and implement improvements that deliver measurable business value. The programme also integrates responsible AI, data protection, GDPR, governance, human oversight, and ethical considerations throughout the learning journey.
What Is Included?
Language
Course and material in English
Level
Beginner - Intermediate level
1 year access
to the online accredited eLearning
Study hours
30 hours estimated study time
Exam voucher included (APMG)
Digital badges issued upon successful completion
About the course
Aligned with the UK's ST1512 v2.1 Artificial Intelligence and Automation Practitioner occupational standard, AIAP bridges the gap between emerging technology and real-world business improvement. Learners develop the ability to move from workflow analysis and opportunity discovery through requirements definition, solution design, testing, implementation, monitoring, and continuous improvement.
Whether you're working in operations, process improvement, digital transformation, change, service delivery, or business improvement or starting a career in AI and automation. AIAP provides a structured pathway to developing practical, employer-relevant AI and automation skills.
What Skills Will You Gain?
At the end of this course, you will be able to:
Analyse business workflows
to identify inefficiencies, bottlenecks, duplicated effort, and opportunities for improvement.
Evaluate AI and automation opportunities
based on feasibility, organisational readiness, proportionality, and potential business value.
Map and analyse business processes
using structured techniques to identify root causes rather than simply treating symptoms.
Define clear requirements and project scope
including stakeholder needs, success criteria, acceptance criteria, and practical boundaries.
Develop compelling business cases
that communicate the value, costs, risks, and trade-offs of proposed AI and automation solutions
Design responsible AI-enabled workflows
that consider data quality, governance, privacy, security, GDPR, ethics, and human oversight.
Design future-state workflows
using appropriate AI, automation, integration, and low-code/no-code approaches.
Test and evaluate solutions
using structured scenarios, user feedback, pilot planning, and readiness assessments.
Monitor and improve live solutions
by tracking performance, identifying drift or emerging issues, and prioritising continuous improvements.
Communicate effectively with stakeholders
by translating technical decisions, business impacts, and improvement outcomes into clear and accessible language.
What Will You Learn?
The Role of the AI and Automation Practitioner
Lesson 1
- Understanding the AI and Automation Practitioner role
- Professional responsibilities and boundaries
- Organisational context
- Human-centred practice
- Responsible professional behaviour
- Stakeholder awareness
Focus: Understanding the role and how AI and automation practitioners contribute to organisational improvement.
AI, Automation & Digital Workflow Foundations
Lesson 2
- AI fundamentals
- Rule-based automation
- Digital workflows
- Low-code/no-code technologies
- Cloud and on-premise environments
- Capabilities and limitations of different approaches
- Human and organisational considerations
Focus: Building a practical foundation in AI, automation, and digital workflow technologies.
Business Process Analysis & Opportunity Discovery
Lesson 3
- Business process mapping
- Workflow analysis
- Identifying bottlenecks and inefficiencies
- Detecting duplicated effort and waste
- Root cause analysis
- Identifying genuine improvement opportunities
- Distinguishing symptoms from underlying problems
Focus: Learning how to find where AI and automation can create meaningful value.
Requirements, Scope & Business Case Development
Lesson 4
- Stakeholder requirements
- Requirements gathering
- Defining project scope
- Success criteria
- Acceptance criteria
- Business case development
- Value and trade-off analysis
- Communicating proposals to decision-makers
Focus: Turning process insights into clearly defined and commercially viable improvement proposals.
Information, Data, Governance & Responsible Design
Lesson 5
- Data quality and information management
- Data protection
- GDPR awareness
- Access controls
- Accountability and transparency
- AI governance
- Ethical AI
- Human oversight
- Responsible solution design
Focus: Ensuring AI and automation solutions are safe, trustworthy, compliant, and responsible.
Workflow Solution Design & Practical Build Thinking
Lesson 6
- Future-state workflow design
- AI-enabled workflow solutions
- Automation and integration
- Low-code/no-code approaches
- Routine workflow paths
- Exception handling
- Sensitive-case pathways
- Handoffs and approvals
- Usability and operational constraints
Focus: Designing practical solutions that work within real organisational environments.
Testing, Evaluation & Implementation Readiness
Lesson 7
- Scenario-based testing
- Workflow testing
- User walkthroughs
- Pilot planning
- Solution evaluation
- Implementation readiness
- User enablement
- Communication and adoption
Focus: Validating solutions before implementation and preparing people and processes for successful adoption.
Continuous Improvement, Monitoring & Sustaining Value
Lesson 8
- Monitoring live workflows
- Performance measurement
- Identifying workflow drift
- Monitoring AI-enabled processes
- Prioritising improvement opportunities
- Continuous improvement
- Measuring sustained business value
Focus: Ensuring AI and automation solutions continue delivering value after implementation.
Integrated Practice & Professional Readiness
Lesson 9
- End-to-end improvement casework
- Portfolio development
- Evidence-based practice
- Communicating with different audiences
- Professional reflection
- Integrated workflow improvement
- Demonstrating occupational competence
Focus: Bringing analysis, design, governance, implementation, and review together into a complete professional practice.
Workplace Application & Career Progression
Lesson 10
- Applying AI and automation skills in the workplace
- Developing professional goals
- Building workplace capability
- Continuing professional development
- Career pathways
- Professional support networks
- Preparing for progression as an AI and Automation Practitioner
Focus: Translating the learning into practical workplace performance and long-term career development.
Who Should Enroll in this Program?
Aspiring AI & Automation Practitioners
Operations & Process Professionals
Digital Transformation Professionals
Change & Improvement Teams
Prerequisites
No formal AI, programming, or data science prerequisites are specified for the AIAP programme.
The qualification is designed to develop practical AI and automation capability, making it suitable for both existing professionals and individuals entering the field.
For the best learning experience, participants should ideally have:
- Basic familiarity with digital workplace tools.
- An interest in AI, automation, or business process improvement.
- Some understanding of how business processes and workflows operate.
- The ability to communicate with stakeholders and understand business requirements.
Programming expertise is not required, as the programme focuses on applying technology to real-world workflow improvement rather than developing AI models from scratch.
Licensing
and accreditation
The Artificial Intelligence and Automation Practitioner course offered by AVC is provided under APMG accreditation based on the partner agreement and meets accreditation requirements.
Adding Value Consulting (AVC) is an Accredited Training Organization (ATO) of APMG International.
About APMG
APMG Group International is a global certification body that offers training courses and professional certifications in a variety of business disciplines. APMG accredits training organizations and manages qualification schemes for professionals. APMG certifications are recognized by employers and professionals worldwide as benchmarks of quality and expertise.
Regarding Equlity Policy
APMG makes every reasonable effort to ensure that candidates with access and/or support requirements can sit the examination within reasonable limits to ensure they have as equal a chance as any other candidate to pass the examination. Please find their full Equality Policy here for more and actual information here
Frequently Asked Questions
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