Instructional Design and AI Program
- Conduct a training needs analysis and write measurable learning objectives using Bloom's taxonomy.
- Design a learning solution using ADDIE or SAM, selecting formats suited to the audience and objectives.
- Use AI tools to generate scenarios, case studies and practice activities, then review them for accuracy and relevance.
- Build aligned assessments, including scenario-based questions, with AI support and quality checks.
- Localize learning content for Arabic-speaking audiences while preserving instructional intent.
- Plan evaluation of the learning solution using the Kirkpatrick levels.
- Instructional Design Foundations
- Adult learning principles
- ADDIE and SAM models
- Role of AI across the design cycle
- Analysis and Objectives
- AI-assisted needs and task analysis
- Writing objectives with Bloom's taxonomy
- Defining audience profiles and constraints
- Designing Learning Experiences
- Gagne's nine events of instruction
- Selecting blended, virtual and microlearning formats
- Storyboarding with AI support
- AI-Assisted Content Development
- Generating scenarios, cases and activities
- Scripts for video and interactive modules
- Reviewing AI content for accuracy and bias
- Assessment and Localization
- Aligning assessments to objectives
- Scenario-based and performance assessments
- Arabic localization and cultural adaptation
- Implementation and Evaluation
- Learning platforms and AI features
- Kirkpatrick evaluation planning
- Using learner data to improve design
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Program Professional Framework
Instructional Design and AI Program
Program Overview
Training teams are under pressure to produce more learning content faster, in more formats and languages, without lowering quality. This program combines sound instructional design methods, including ADDIE, SAM, Bloom's taxonomy and Gagne's nine events, with practical use of AI tools for needs analysis, writing learning objectives, generating scenarios and case studies, building assessments, producing microlearning and video scripts, and localizing content into Arabic. Participants learn where AI accelerates design and where the designer's judgement on accuracy, pedagogy and cultural fit must remain in control.
Learning Outcomes
- ✓Conduct a training needs analysis and write measurable learning objectives using Bloom's taxonomy.
- ✓Design a learning solution using ADDIE or SAM, selecting formats suited to the audience and objectives.
- ✓Use AI tools to generate scenarios, case studies and practice activities, then review them for accuracy and relevance.
- ✓Build aligned assessments, including scenario-based questions, with AI support and quality checks.
- ✓Localize learning content for Arabic-speaking audiences while preserving instructional intent.
- ✓Plan evaluation of the learning solution using the Kirkpatrick levels.
Target Audience
- Instructional designers and e-learning developers
- Training and learning and development specialists
- Subject matter experts who build training content
- Corporate academy coordinators
Detailed Program Modules
01Instructional Design Foundations
- Adult learning principles
- ADDIE and SAM models
- Role of AI across the design cycle
02Analysis and Objectives
- AI-assisted needs and task analysis
- Writing objectives with Bloom's taxonomy
- Defining audience profiles and constraints
03Designing Learning Experiences
- Gagne's nine events of instruction
- Selecting blended, virtual and microlearning formats
- Storyboarding with AI support
04AI-Assisted Content Development
- Generating scenarios, cases and activities
- Scripts for video and interactive modules
- Reviewing AI content for accuracy and bias
05Assessment and Localization
- Aligning assessments to objectives
- Scenario-based and performance assessments
- Arabic localization and cultural adaptation
06Implementation and Evaluation
- Learning platforms and AI features
- Kirkpatrick evaluation planning
- Using learner data to improve design
Training Methodology
Applied Project & Assessment
Applied Project
Participants design a short learning module for a real need in their organization, using AI for selected development steps, and submit the design document, sample content, assessment items and evaluation plan with notes on AI use and review.
Assessment
Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.


