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Key points about this course

Artificial Intelligence and Automation Practitioner (AIAP) Training Training Course

Title: Artificial Intelligence and Automation Practitioner (AIAP)

Duration: 169 Hours

Certification Exam(s): Artificial Intelligence and Automation Practitioner

Accredited: Yes

Pre-course Reading: None

Rating: 5 Star

 

Course Information

 

Artificial Intelligence and Automation Practitioner (AIAP) Training Course

Artificial intelligence and automation are changing how organisations deliver services, manage workflows and improve productivity. Realising that value requires practitioners who can understand business processes, identify appropriate opportunities, design responsible solutions and support successful implementation. 

The Artificial Intelligence and Automation Practitioner (AIAP) programme is a UK Level 4 learning pathway aligned to the UK ST1512 v2.0 occupational standard. It develops practical, organisation-ready capability in workflow analysis, AI and automation opportunity assessment, requirements, business cases, governance, responsible design, low-code/no-code thinking, testing, implementation and continuous improvement. 

The course takes a human-centred approach. Learners consider wellbeing, culture, trust, adoption, data protection and responsible use alongside technology, helping them improve the way work gets done without losing sight of the people and governance surrounding it. 


Why Choose Tecknologia

  1. No pushy sales calls & no marketing emails, ever!
  2. Physical handbook(s) included (where applicable).
  3. No more than 12 delegates in public classroom training.
  4. Delegates are never dumped after payment has been made.
  5. Delegate friendly terms and conditions (including refund policy).
  6. The best learning experience delivered, always !

Select your preferred delivery method

12 Months Access

Exam Included

1595

1095

(ex. VAT)

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12 Months Access

Exam Included

1595

1095

(ex. VAT)

Book Now

Select a Month

There are no training slots currently available for Virtual Classroom method of delivery. Why not check Classroom slots?

Alternatively, please Contact us and we may be able to help you.

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Select a Month

There are no training slots currently available for Classroom method of delivery. Why not check Virtual Classroom slots?

Alternatively, please Contact us and we may be able to help you.

Course Information

Overview

AIAP is designed around practical workplace improvement. Across ten progressive modules, learners move from understanding the practitioner role and core AI, automation and digital workflow concepts into process diagnosis, requirements and business-case thinking, responsible solution design, testing, implementation readiness, ongoing monitoring and integrated professional practice. 

What will delegates learn? 

  • Analyse business workflows to identify inefficiencies, bottlenecks, duplicated effort and waste using structured mapping and root-cause analysis.
  • Evaluate AI and automation opportunities realistically, considering feasibility, organisational readiness and proportionality.
  • Define stakeholder requirements, success criteria, acceptance criteria and practical scope boundaries.
  • Build clear business cases that explain value, rationale and trade-offs in accessible language.
  • Design responsible workflow solutions addressing data quality, governance, access control, GDPR and appropriate human oversight.
  • Create practical future-state workflows using low-code/no-code approaches, including routine, exception and sensitive-case paths.
  • Test and evaluate solutions using scenarios, user walkthroughs, pilot planning and evidence-based readiness assessment.
  • Monitor live workflows, recognise drift and prioritise continuous improvement.
  • Communicate technical decisions, change impacts and outcomes effectively to different stakeholders.
  • Apply professional judgement across analysis, design, governance, implementation and review.
Course Outline

The curriculum develops capability from Foundations through Analysis, Design, Delivery and Mastery. 

  1. The Role of the AI and Automation Practitioner 
    • The occupational role, organisational context, boundaries, responsibilities and responsible, human-centred professional practice.
  2. AI, Automation, and Digital Workflow Foundations 
    • AI, rule-based automation, digital workflows, low-code/no-code platforms, cloud and on-premise environments, including realistic strengths and limitations.
  3. Business Process Analysis and Opportunity Discovery 
    • Workflow mapping, bottlenecks, root-cause analysis and distinguishing symptoms from underlying issues to discover improvement opportunities.
  4. Requirements, Scope, and Business Case Thinking 
    • Stakeholder requirements, scope boundaries, success criteria and translating process insights into credible improvement proposals.
  5. Information, Data, Governance, and Responsible Design 
    • Data quality, information handling, GDPR awareness, access controls, visibility, accountability and safe, trustworthy solution design.
  6. Workflow Solution Design and Practical Build Thinking 
    • Future-state workflow design covering routine, exception and sensitive-case paths, handoffs, approvals, usability and operational constraints.
  7. Testing, Evaluation, and Implementation Readiness 
    • Scenario testing, user walkthroughs, pilot planning, readiness assessment, change communication and user enablement.
  8. Continuous Improvement, Monitoring, and Sustaining Value 
    • Performance signals, live-workflow monitoring, drift recognition, prioritisation of improvements and maintaining value after go-live.
  9. Integrated Practice, Portfolio Thinking, and Occupational Readiness 
    • End-to-end case work, portfolio-style evidence, stakeholder communication, professional reflection and demonstration of occupational competence.
  10. Transition to Workplace Application, Progression, and Next-Step Practice 
    • Applying learning in the workplace, development goals, support networks and building a sustainable AI and Automation Practitioner career.

Who Should Attend?

  • Operations and Process Professionals 
    • People working in operations, service delivery, customer support or finance who want to improve workflows using AI and digital tools.
  • Change and Transformation Teams 
    • Professionals in change delivery, digital transformation or business improvement who need structured AI and automation capability.
  • Aspiring Digital Practitioners 
    • People new to, or early in, a digital career who want an employer-relevant Level 4 learning pathway.
  • Employer Apprentices 
    • Learners on the Level 4 Digital route whose employers want practical, organisation-ready AI and automation capabilities.
Prerequisites

There are no formal pre-requisite for enrolling into this course.

A Level 4 (UK) programme developing practical capability to analyse, design, implement and continually improve workflows using AI, automation and digital tools.

Yes. Data protection, GDPR awareness, governance, ethics, accountability and human oversight are embedded in the programme.

Yes. Learners develop practical workflow-design thinking that includes low-code/no-code platforms and integrations.

Yes. The programme includes integrated practice, portfolio-style evidence building and professional reflection intended to support occupational readiness.

Following are the AIAP exam details:
- 60 multiple choice questions
- 90 minutes
- Pass mark: 42 out of 60 (70%)
- Closed Book (no reference materials permitted)
- Available with online proctoring only
- Available in English only
- Candidates must complete e-learning/ self-paced course to be eligible for the exam attempt.

This Artificial Intelligence and Automation Practitioner (AIAP) course is fully self-paced, with 12 months access, and it will include following:

  • Training materials access for 12 months (in e-learning/ self-paced format)
  • Official AIAP exam (to be taken within 12 months from course start date)
  • Mock exam with unlimited attempts

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