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IIBA Endorsed Certificate in AI Enabled Innovation

IIBA Endorsed Certificate in AI Enabled Innovation

Why Attend

This course equips participants with a practical and structured approach to drive innovation in contexts where artificial intelligence can meaningfully enhance insight generation, ideation, prototyping, and validation. Participants will explore how human-centered innovation and AI capabilities can complement each other to address complex, real-world challenges. The course emphasizes disciplined problem framing, evidence-based insight generation, creative solution design, rapid experimentation, and iterative learning, while maintaining strong ethical and human considerations when using AI tools.

Throughout the course, participants will work on an applied case that evolves across each module. By the end of the course, participants will have developed a coherent, AI-enabled solution concept grounded in user needs, data-informed insights, and structured design thinking practices that can be transferred to their own organizational challenges.

Associations
Associations
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Overview
Course Methodology

This course is delivered through a fully applied, case-centered learning journey. Participants work in teams on a single practical case that progresses across all five modules, with each module building directly on the outputs of the previous one. Short concept briefings are used to introduce key design thinking and AI application principles, followed immediately by structured application to the case.

Course Objectives

By the end of the course, participants will be able to:

  • Apply design thinking principles to frame complex problems and define meaningful challenge statements for an AI-enabled case
  • Analyze user needs and contextual data using AI-supported research techniques to generate actionable insights
  • Generate innovative solution concepts by combining human creativity with AI-assisted ideation methods
  • Design low-fidelity prototypes that integrate AI capabilities to address defined user needs and constraints
  • Evaluate solution concepts through structured testing, feedback, and iteration using qualitative and data-informed inputs
Target Audience

This course is designed for professionals involved in problem-solving, service improvement, innovation, product or process design, digital transformation, and operational improvement. It is suitable for practitioners across functions who are expected to contribute to solution design and implementation, regardless of formal leadership roles. The course is appropriate for participants with varying levels of prior exposure to design thinking or AI, as it focuses on practical application rather than technical development.

Target Competencies
  • Human-centered problem framing
  • Analytical thinking
  • Creative ideation
  • Prototyping and experimentation
  • Evidence-based decision making
  • AI literacy for practitioners
Course Outline
  • Framing the Right Problem in an AI Context
    • Understanding problem spaces, stakeholders, and constraints
    • Translating broad challenges into focused questions
    • Identifying assumptions and knowledge gaps
    • Using AI to support synthesis and reframing
    • Defining success criteria and boundaries
  • AI-Supported Empathy and Insight Generation
    • Structuring qualitative and quantitative research inputs
    • Using AI to synthesize patterns and themes
    • Distinguishing symptoms from root causes
    • Converting observations into opportunities
    • Addressing bias and data quality risks
  • AI-Enhanced Ideation and Concept Development
    • Divergent and convergent thinking methods
    • Prompting strategies and constraints for ideation
    • Screening concepts against user needs, feasibility, and impact
    • Selecting priority concepts for further development
    • Balancing human judgment with AI suggestions
  • Prototyping AI-Enabled Solutions
    • Defining what to prototype and which assumptions to test
    • Choosing appropriate prototype formats
    • Representing AI functionality conceptually
    • Identifying risks, limitations, and ethical considerations
    • Designing safeguards and human-in-the-loop mechanisms
  • Testing, Learning, and Iteration
    • Designing simple tests and feedback mechanisms
    • Interpreting user feedback and data signals
    • Iterating concepts and prototypes based on evidence
    • Translating learning into recommendations
    • Embedding continuous learning and governance for AI-enabled solutions
Associations
Associations
International Institute of Business Analysis (IIBA®)

Meirc is an Endorsed Education Provider™ (EEP) for the International Institute of Business Analysis (IIBA®). IIBA® is an independent non-profit professional association serving the growing field of business analysis. As the global thought leader and voice of the business analysis community, IIBA® actively supports the recognition of the profession, and works to maintain standards for the ongoing development of the practice and the certification of business analysts. Meirc’s IIBA® accredited courses are based on the Business Analysis Body of Knowledge (BABOK®) guide. Participants in these courses can earn Professional Development (PD) units as well as prepare for the IIBA® competency-based certification exams including the ECBA™, the CCBA™ and the CBAP™ certifications.

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MPC
MPC Certifications
Meirc Professional Certificate (MPC)

MPC certified courses by Meirc Training & Consulting are designed for those willing to challenge themselves and go the extra distance. Participants who fully attend an MPC course and successfully complete the test on the last day, will receive a Meirc Professional Certificate (MPC), in addition to the one they receive for full attendance. MPC certificates are regionally recognized and can be quite valuable when applying for more senior roles within the organization or outside.

List of Certified Courses
Schedule & Fees
2026 Schedule & Fees
Per participant
  • 26 - 30 Jul, 2026
  • English
  • London
  • Venue to be assigned
Per participant
  • 11 - 15 Oct, 2026
  • Arabic
  • Milan
  • Venue to be assigned
Fees + VAT as applicable (including coffee breaks and a buffet lunch daily) Discount Plans & Cancellations Policy

Meirc reserves the right to alter dates, content, venue, trainer, and to offer courses in an integrated virtual learning (IVL) format whereby face to face classroom participants and virtual learners participate simultaneously in the same course in an interactive learning experience.

Tax Registration Number: 100064080300003

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