Learnuva academy program
Training & Talent Development AcademyCertified AI Instructional Designer
Use AI to move faster - while learning science, evidence and human judgment protect quality.
LearnuvaLearning designed for application
Training & Talent Development AcademyCertified AI Instructional DesignerLearning · Practice · Evidence · Application
Program overview
Use AI to move faster - while learning science, evidence and human judgment protect quality.
A build-first pathway that enables instructional designers to integrate AI across analysis, curriculum engineering, detailed design, asset generation, quality assurance and training-kit packaging. Participants use source-grounded workflows and ethical controls to improve speed without sacrificing learning quality.
Competency mapping
What will look different in performance?
Each outcome connects to behavior, practice and evidence so progress remains visible and reviewable.
Adult learning, experiential learning and instructional foundations
AI-enabled analysis, TNA and learner intelligence
Curriculum engineering, scaffolding and cognitive load
Detailed design and instructional strategy
Generative content, multimedia and assessment development
Quality assurance, ethics and deployment readiness
Detailed learning objectives
From understanding to an applicable decision or tool
Specific objectives guide the curriculum, practice and assessment design.
- 01
Apply adult-learning, experiential-learning and instructional-event principles to design decisions.
- 02
Map responsible AI uses across the ADDIE lifecycle and define human verification points.
- 03
Conduct source-grounded analysis and extract performance-critical knowledge, skills and attitudes.
- 04
Develop learner personas, measurable objectives, curriculum logic and differentiated learning flows.
- 05
Create a detailed design document that specifies strategy, modules, activities, assessment and deliverables.
- 06
Generate and improve text, visual, audio, microlearning and assessment assets using structured prompts.
- 07
Perform quality assurance for accuracy, bias, hallucination, accessibility, cultural fit and cognitive load.
- 08
Assemble and present a complete, ready-to-deploy training kit and responsible-AI design record.
Learning architecture
A connected journey—not a list of topics
Every module adds knowledge, practice and an output that builds on what came before.
Adult Learning and Program Design Foundations
Andragogy, experiential learning, instructional events and the role of the future instructional designer.
AI Integration and Analysis
ADDIE use cases, grounded analysis, cognitive task analysis, KSAs, personas, WIIFM and source-of-truth workflows.
Curriculum Engineering and Learning Flow
Bloom-aligned objectives, Gagne-informed sequencing, scaffolding, chunking, cognitive load and differentiation.
From Strategy to Blueprint
Detailed design document, instructional strategy, module architecture, activities, rubrics and assessment plan.
Rapid AI-Driven Asset Generation
Prompt engineering, slides, guides, assessments, text, images, audio, microlearning and revision workflows.
Finalisation and Training-Kit Packaging
Asset QA, bias and hallucination checks, tone, cultural alignment, completeness, ethics and final prototype.
Learning methodology
Practice designed for transfer
Interactive synchronous facilitation, guided AI labs, source-grounded design sprints, critique cycles, peer review and a progressive capstone in which every workshop produces part of the final training kit.
Who should attend
Target audience
- Instructional designers and learning experience designers
- Curriculum developers, training specialists and digital-learning teams
- Experienced trainers responsible for designing programs and learning assets
Evidence of capability
What is assessed—and what participants leave with
The experience combines performance evidence with practical outputs that remain useful after the program.
- Design-foundation and AI-risk checks
- Analysis, persona and curriculum artifact reviews
- Detailed design document rubric
- Asset quality and verification audit
- Complete training-kit capstone presentation
- Source-grounded analysis pack and learner personas
- Objectives, curriculum map and learning flow
- Detailed design document
- Slides, facilitator guide, participant materials and assessment set
- Responsible AI and quality-assurance checklist
- Ready-to-deploy training kit prototype
Program FAQs
What to know before you ask
Can this program be delivered for our organization?+
Yes. Learnuva can configure cases, assignments, role context and delivery pattern around your organization while protecting the core competency outcomes.
Is the program available in Arabic and English?+
Programs can be offered in English, Arabic or bilingually. The confirmed language appears on each approved offering.
How will learning be assessed?+
Assessment may include knowledge checks, observed practice, case decisions, work products, applied assignments and a capstone.
Will I receive a certificate?+
Participants who meet the approved attendance and assessment requirements receive the certificate stated on the program offering. Professional credits appear only when verified.
Your next step
Register your interest or request a corporate cohort
Share the audience, context and desired outcome. The Learnuva team will follow up with the right next step.